Author: Mariacarla Gadebusch Bondio
Publisher: Taylor & Francis
ISBN: 1351802593
Category : Philosophy
Languages : en
Pages : 198
Book Description
Recent scientific developments, in particular advances in pharmacogenetics and molecular genetics, have given rise to numerous predictive procedures for detecting predispositions to diseases in patients. This knowledge, however, does not necessarily promise benign results for either patients or health care professionals. The aim of this volume is to analyse issues related to prediction and prognosis as a burgeoning field of medicine, which is revolutionizing the way we understand and approach diagnosis and treatment. Combining epistemic and ethical reflection with medical expertise on contemporary practice and research, an interdisciplinary group of international experts critically examine anticipatory medicine from various perspectives, including history of medicine, bioethics, theories of science, and health economics. The highly complex issues involved in medical prediction call for a far-reaching debate on the value and scope of foreknowledge. For example, which responsibilities and burdens arise when still healthy people learn of their predisposition to diseases? How should health care insurance reflect risky life styles? Is the increasing medicalization of life connected with prevention ethically sustainable and financially possible in the developing world? These and other related issues are the subject of this timely and important book, which not only serves as an introduction to the area, but also proposes many feasible solutions to the problems outlined.
Medical Ethics, Prediction, and Prognosis
Author: Mariacarla Gadebusch Bondio
Publisher: Taylor & Francis
ISBN: 1351802593
Category : Philosophy
Languages : en
Pages : 198
Book Description
Recent scientific developments, in particular advances in pharmacogenetics and molecular genetics, have given rise to numerous predictive procedures for detecting predispositions to diseases in patients. This knowledge, however, does not necessarily promise benign results for either patients or health care professionals. The aim of this volume is to analyse issues related to prediction and prognosis as a burgeoning field of medicine, which is revolutionizing the way we understand and approach diagnosis and treatment. Combining epistemic and ethical reflection with medical expertise on contemporary practice and research, an interdisciplinary group of international experts critically examine anticipatory medicine from various perspectives, including history of medicine, bioethics, theories of science, and health economics. The highly complex issues involved in medical prediction call for a far-reaching debate on the value and scope of foreknowledge. For example, which responsibilities and burdens arise when still healthy people learn of their predisposition to diseases? How should health care insurance reflect risky life styles? Is the increasing medicalization of life connected with prevention ethically sustainable and financially possible in the developing world? These and other related issues are the subject of this timely and important book, which not only serves as an introduction to the area, but also proposes many feasible solutions to the problems outlined.
Publisher: Taylor & Francis
ISBN: 1351802593
Category : Philosophy
Languages : en
Pages : 198
Book Description
Recent scientific developments, in particular advances in pharmacogenetics and molecular genetics, have given rise to numerous predictive procedures for detecting predispositions to diseases in patients. This knowledge, however, does not necessarily promise benign results for either patients or health care professionals. The aim of this volume is to analyse issues related to prediction and prognosis as a burgeoning field of medicine, which is revolutionizing the way we understand and approach diagnosis and treatment. Combining epistemic and ethical reflection with medical expertise on contemporary practice and research, an interdisciplinary group of international experts critically examine anticipatory medicine from various perspectives, including history of medicine, bioethics, theories of science, and health economics. The highly complex issues involved in medical prediction call for a far-reaching debate on the value and scope of foreknowledge. For example, which responsibilities and burdens arise when still healthy people learn of their predisposition to diseases? How should health care insurance reflect risky life styles? Is the increasing medicalization of life connected with prevention ethically sustainable and financially possible in the developing world? These and other related issues are the subject of this timely and important book, which not only serves as an introduction to the area, but also proposes many feasible solutions to the problems outlined.
Prognosis Research in Healthcare
Author: Richard D. Riley
Publisher: Oxford University Press
ISBN: 0192516655
Category : Medical
Languages : en
Pages : 373
Book Description
"What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.
Publisher: Oxford University Press
ISBN: 0192516655
Category : Medical
Languages : en
Pages : 373
Book Description
"What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.
Clinical Prediction Models
Author: Ewout W. Steyerberg
Publisher: Springer
ISBN: 3030163997
Category : Medical
Languages : en
Pages : 574
Book Description
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Publisher: Springer
ISBN: 3030163997
Category : Medical
Languages : en
Pages : 574
Book Description
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Ethics, Conflict and Medical Treatment for Children E-Book
Author: Dominic Wilkinson
Publisher: Elsevier Health Sciences
ISBN: 0702077828
Category : Medical
Languages : en
Pages : 190
Book Description
What should happen when doctors and parents disagree about what would be best for a child? When should courts become involved? Should life support be stopped against parents' wishes? The case of Charlie Gard, reached global attention in 2017. It led to widespread debate about the ethics of disagreements between doctors and parents, about the place of the law in such disputes, and about the variation in approach between different parts of the world. In this book, medical ethicists Dominic Wilkinson and Julian Savulescu critically examine the ethical questions at the heart of disputes about medical treatment for children. They use the Gard case as a springboard to a wider discussion about the rights of parents, the harms of treatment, and the vital issue of limited resources. They discuss other prominent UK and international cases of disagreement and conflict. From opposite sides of the debate Wilkinson and Savulescu provocatively outline the strongest arguments in favour of and against treatment. They analyse some of the distinctive and challenging features of treatment disputes in the 21st century and argue that disagreement about controversial ethical questions is both inevitable and desirable. They outline a series of lessons from the Gard case and propose a radical new 'dissensus' framework for future cases of disagreement. - This new book critically examines the core ethical questions at the heart of disputes about medical treatment for children. - The contents review prominent cases of disagreement from the UK and internationally and analyse some of the distinctive and challenging features around treatment disputes in the 21st century. - The book proposes a radical new framework for future cases of disagreement around the care of gravely ill people.
Publisher: Elsevier Health Sciences
ISBN: 0702077828
Category : Medical
Languages : en
Pages : 190
Book Description
What should happen when doctors and parents disagree about what would be best for a child? When should courts become involved? Should life support be stopped against parents' wishes? The case of Charlie Gard, reached global attention in 2017. It led to widespread debate about the ethics of disagreements between doctors and parents, about the place of the law in such disputes, and about the variation in approach between different parts of the world. In this book, medical ethicists Dominic Wilkinson and Julian Savulescu critically examine the ethical questions at the heart of disputes about medical treatment for children. They use the Gard case as a springboard to a wider discussion about the rights of parents, the harms of treatment, and the vital issue of limited resources. They discuss other prominent UK and international cases of disagreement and conflict. From opposite sides of the debate Wilkinson and Savulescu provocatively outline the strongest arguments in favour of and against treatment. They analyse some of the distinctive and challenging features of treatment disputes in the 21st century and argue that disagreement about controversial ethical questions is both inevitable and desirable. They outline a series of lessons from the Gard case and propose a radical new 'dissensus' framework for future cases of disagreement. - This new book critically examines the core ethical questions at the heart of disputes about medical treatment for children. - The contents review prominent cases of disagreement from the UK and internationally and analyse some of the distinctive and challenging features around treatment disputes in the 21st century. - The book proposes a radical new framework for future cases of disagreement around the care of gravely ill people.
The Ethics of Personalised Medicine
Author: Jochen Vollmann
Publisher: Routledge
ISBN: 1317033728
Category : Medical
Languages : en
Pages : 291
Book Description
In recent times, the phrase ’personalised medicine’ has become the symbol of medical progress and a label for better health care in the future. However, a controversial debate has developed around whether these promises of better, more personal and more cost-efficient medicine are realistic. This book brings together leading researchers from across Europe and North America, from both normative and empirical disciplines, who take a more critical view of the often encountered hype associated with personalised medicine. Partially drawing on a four year collaborative research project funded by the German Ministry for Education and Research, the book presents a multidisciplinary debate on the current state of research on the ethical, legal and social implications of personalised medicine. At a time when future health care is a topic of much discussion, this book provides valuable policy recommendations for the way forward. This study will be of interest to researchers from various disciplines including philosophy, bioethics, law and social sciences.
Publisher: Routledge
ISBN: 1317033728
Category : Medical
Languages : en
Pages : 291
Book Description
In recent times, the phrase ’personalised medicine’ has become the symbol of medical progress and a label for better health care in the future. However, a controversial debate has developed around whether these promises of better, more personal and more cost-efficient medicine are realistic. This book brings together leading researchers from across Europe and North America, from both normative and empirical disciplines, who take a more critical view of the often encountered hype associated with personalised medicine. Partially drawing on a four year collaborative research project funded by the German Ministry for Education and Research, the book presents a multidisciplinary debate on the current state of research on the ethical, legal and social implications of personalised medicine. At a time when future health care is a topic of much discussion, this book provides valuable policy recommendations for the way forward. This study will be of interest to researchers from various disciplines including philosophy, bioethics, law and social sciences.
Prognosis prediction and risk stratification in head and neck cancer
Author: Heming Lu
Publisher: Frontiers Media SA
ISBN: 2832513204
Category : Medical
Languages : en
Pages : 698
Book Description
Publisher: Frontiers Media SA
ISBN: 2832513204
Category : Medical
Languages : en
Pages : 698
Book Description
Death Foretold
Author: Nicholas A. Christakis
Publisher: University of Chicago Press
ISBN: 9780226104713
Category : Medical
Languages : en
Pages : 354
Book Description
This groundbreaking book explains prognosis from the perspective of doctors, examining why physicians are reluctant to predict the future, how doctors use prognosis, the symbolism it contains, and the emotional difficulties it involves. Drawing on his experiences as a doctor and sociologist, Nicholas Christakis interviewed scores of physicians and searched dozens of medical textbooks and medical school curricula for discussions of prognosis in an attempt to get to the core of this nebulous medical issue that, despite its importance, is only partially understood and rarely discussed. "Highly recommended for everyone from patients wrestling with their personal prognosis to any medical practitioner touched by this bioethical dilemma."—Library Journal, starred review "[T]he first full general discussion of prognosis ever written. . . . [A] manifesto for a form of prognosis that's equal parts prediction-an assessment of likely outcomes based on statistical averages-and prophecy, an intuition of what lies ahead."—Jeff Sharlet, Chicago Reader "[S]ophisticated, extraordinarily well supported, and compelling. . . . [Christakis] argues forcefully that the profession must take responsibility for the current widespread avoidance of prognosis and change the present culture. This prophet is one whose advice we would do well to heed."—James Tulsky, M.D., New England Journal of Medicine
Publisher: University of Chicago Press
ISBN: 9780226104713
Category : Medical
Languages : en
Pages : 354
Book Description
This groundbreaking book explains prognosis from the perspective of doctors, examining why physicians are reluctant to predict the future, how doctors use prognosis, the symbolism it contains, and the emotional difficulties it involves. Drawing on his experiences as a doctor and sociologist, Nicholas Christakis interviewed scores of physicians and searched dozens of medical textbooks and medical school curricula for discussions of prognosis in an attempt to get to the core of this nebulous medical issue that, despite its importance, is only partially understood and rarely discussed. "Highly recommended for everyone from patients wrestling with their personal prognosis to any medical practitioner touched by this bioethical dilemma."—Library Journal, starred review "[T]he first full general discussion of prognosis ever written. . . . [A] manifesto for a form of prognosis that's equal parts prediction-an assessment of likely outcomes based on statistical averages-and prophecy, an intuition of what lies ahead."—Jeff Sharlet, Chicago Reader "[S]ophisticated, extraordinarily well supported, and compelling. . . . [Christakis] argues forcefully that the profession must take responsibility for the current widespread avoidance of prognosis and change the present culture. This prophet is one whose advice we would do well to heed."—James Tulsky, M.D., New England Journal of Medicine
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Author: Rani, Geeta
Publisher: IGI Global
ISBN: 1799827437
Category : Medical
Languages : en
Pages : 586
Book Description
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Publisher: IGI Global
ISBN: 1799827437
Category : Medical
Languages : en
Pages : 586
Book Description
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Preterm Birth
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 030910159X
Category : Medical
Languages : en
Pages : 791
Book Description
The increasing prevalence of preterm birth in the United States is a complex public health problem that requires multifaceted solutions. Preterm birth is a cluster of problems with a set of overlapping factors of influence. Its causes may include individual-level behavioral and psychosocial factors, sociodemographic and neighborhood characteristics, environmental exposure, medical conditions, infertility treatments, and biological factors. Many of these factors co-occur, particularly in those who are socioeconomically disadvantaged or who are members of racial and ethnic minority groups. While advances in perinatal and neonatal care have improved survival for preterm infants, those infants who do survive have a greater risk than infants born at term for developmental disabilities, health problems, and poor growth. The birth of a preterm infant can also bring considerable emotional and economic costs to families and have implications for public-sector services, such as health insurance, educational, and other social support systems. Preterm Birth assesses the problem with respect to both its causes and outcomes. This book addresses the need for research involving clinical, basic, behavioral, and social science disciplines. By defining and addressing the health and economic consequences of premature birth, this book will be of particular interest to health care professionals, public health officials, policy makers, professional associations and clinical, basic, behavioral, and social science researchers.
Publisher: National Academies Press
ISBN: 030910159X
Category : Medical
Languages : en
Pages : 791
Book Description
The increasing prevalence of preterm birth in the United States is a complex public health problem that requires multifaceted solutions. Preterm birth is a cluster of problems with a set of overlapping factors of influence. Its causes may include individual-level behavioral and psychosocial factors, sociodemographic and neighborhood characteristics, environmental exposure, medical conditions, infertility treatments, and biological factors. Many of these factors co-occur, particularly in those who are socioeconomically disadvantaged or who are members of racial and ethnic minority groups. While advances in perinatal and neonatal care have improved survival for preterm infants, those infants who do survive have a greater risk than infants born at term for developmental disabilities, health problems, and poor growth. The birth of a preterm infant can also bring considerable emotional and economic costs to families and have implications for public-sector services, such as health insurance, educational, and other social support systems. Preterm Birth assesses the problem with respect to both its causes and outcomes. This book addresses the need for research involving clinical, basic, behavioral, and social science disciplines. By defining and addressing the health and economic consequences of premature birth, this book will be of particular interest to health care professionals, public health officials, policy makers, professional associations and clinical, basic, behavioral, and social science researchers.
Predicted Humans
Author: Simona Chiodo
Publisher: Taylor & Francis
ISBN: 1040044646
Category : Philosophy
Languages : en
Pages : 142
Book Description
Predicting our future as individuals is central to the role of much emerging technology, from hiring algorithms that predict our professional success (or failure) to biomarkers that predict how long (or short) our healthy (or unhealthy) life will be. Yet, much in Western culture, from scripture to mythology to philosophy, suggests that knowing one’s future may not be in the subject’s best interests and might even lead to disaster. If predicting our future as individuals can be harmful as well as beneficial, why are we so willing to engage in so much prediction, from cradle to grave? This book offers a philosophical answer, reflecting on seminal texts in Western culture to argue that predicting our future renders much of our existence the automated effect of various causes, which, in turn, helps to alleviate the existential burden of autonomously making sense of our lives in a more competitive, demanding, accelerated society. An exploration of our tendency in a technological era to engineer and so rid ourselves of that which has hitherto been our primary reason for being – making life plans for a successful future, while faced with epistemological and ethical uncertainties – Predicted Humans will appeal to scholars of philosophy and social theory with interests in questions of moral responsibility and meaning in an increasingly technological world.
Publisher: Taylor & Francis
ISBN: 1040044646
Category : Philosophy
Languages : en
Pages : 142
Book Description
Predicting our future as individuals is central to the role of much emerging technology, from hiring algorithms that predict our professional success (or failure) to biomarkers that predict how long (or short) our healthy (or unhealthy) life will be. Yet, much in Western culture, from scripture to mythology to philosophy, suggests that knowing one’s future may not be in the subject’s best interests and might even lead to disaster. If predicting our future as individuals can be harmful as well as beneficial, why are we so willing to engage in so much prediction, from cradle to grave? This book offers a philosophical answer, reflecting on seminal texts in Western culture to argue that predicting our future renders much of our existence the automated effect of various causes, which, in turn, helps to alleviate the existential burden of autonomously making sense of our lives in a more competitive, demanding, accelerated society. An exploration of our tendency in a technological era to engineer and so rid ourselves of that which has hitherto been our primary reason for being – making life plans for a successful future, while faced with epistemological and ethical uncertainties – Predicted Humans will appeal to scholars of philosophy and social theory with interests in questions of moral responsibility and meaning in an increasingly technological world.