Author: Ingenix
Publisher: Cengage Learning
ISBN: 9781601515063
Category :
Languages : en
Pages : 0
Book Description
Unlike other medical dictionaries, the Coders' Dictionary helps you understand medical terminology from a coder's perspective. This unique dictionary was developed to meet the specific needs of medical coders, admitting clerks, billers, and adjudicators.
Coders' Dictionary 2012
Author: Ingenix
Publisher: Cengage Learning
ISBN: 9781601515063
Category :
Languages : en
Pages : 0
Book Description
Unlike other medical dictionaries, the Coders' Dictionary helps you understand medical terminology from a coder's perspective. This unique dictionary was developed to meet the specific needs of medical coders, admitting clerks, billers, and adjudicators.
Publisher: Cengage Learning
ISBN: 9781601515063
Category :
Languages : en
Pages : 0
Book Description
Unlike other medical dictionaries, the Coders' Dictionary helps you understand medical terminology from a coder's perspective. This unique dictionary was developed to meet the specific needs of medical coders, admitting clerks, billers, and adjudicators.
Merriam-Webster's Medical Dictionary
Author: Merriam-Webster, Inc
Publisher: Merriam-Webster
ISBN: 9780877799146
Category : Medical
Languages : en
Pages : 812
Book Description
A concise guide to the essential language of medicine. More than 35,000 entries. Pronunciations provided for all entries. Covers brand names and generic equivalents of common drugs.
Publisher: Merriam-Webster
ISBN: 9780877799146
Category : Medical
Languages : en
Pages : 812
Book Description
A concise guide to the essential language of medicine. More than 35,000 entries. Pronunciations provided for all entries. Covers brand names and generic equivalents of common drugs.
Mosby's Medical Dictionary - E-Book
Author: Mosby
Publisher: Elsevier Health Sciences
ISBN: 0323112587
Category : Medical
Languages : en
Pages : 1986
Book Description
So much more than just a bestselling dictionary, Mosby’s Medical Dictionary, 9th Edition is a one-stop reference to help you make sense of the complex world of health care. It features over 56,000 authoritative definitions, quick-reference appendixes, a color atlas of the human body, and more than 2,450 full-color illustrations — nearly three times more than any other dictionary available — making it an indispensable reference for health care consumers and professionals alike. UNIQUE! More than 2,450 color photographs and line drawings demonstrate and explain complex conditions and abstract concepts. Over 56,000 comprehensive, authoritative, high-quality definitions include expanded definitions for selected entries, particularly major diseases, disorders, and procedures. A Color Atlas of Human Anatomy contains 43 pages of clearly labeled drawings for easy A&P review and reference. Quick-reference appendixes offer quick access to useful reference information, such as commonly used abbreviations, language translation guides, American sign language, and more. A strict, common-sense alphabetical organization with no subentries makes it easy to find key terms and definitions. NEW! Over 300 new and updated illustrations visually clarify key definitions and reflect current health care practice and equipment. NEW! Approximately 11,000 new and revised definitions reflect the latest developments in health care. NEW! Editor Marie O’Toole, EdD, RN, FAAN lends her expertise to this new edition, reviewing and revising all definitions and assembling a team of leading consultants and contributors.
Publisher: Elsevier Health Sciences
ISBN: 0323112587
Category : Medical
Languages : en
Pages : 1986
Book Description
So much more than just a bestselling dictionary, Mosby’s Medical Dictionary, 9th Edition is a one-stop reference to help you make sense of the complex world of health care. It features over 56,000 authoritative definitions, quick-reference appendixes, a color atlas of the human body, and more than 2,450 full-color illustrations — nearly three times more than any other dictionary available — making it an indispensable reference for health care consumers and professionals alike. UNIQUE! More than 2,450 color photographs and line drawings demonstrate and explain complex conditions and abstract concepts. Over 56,000 comprehensive, authoritative, high-quality definitions include expanded definitions for selected entries, particularly major diseases, disorders, and procedures. A Color Atlas of Human Anatomy contains 43 pages of clearly labeled drawings for easy A&P review and reference. Quick-reference appendixes offer quick access to useful reference information, such as commonly used abbreviations, language translation guides, American sign language, and more. A strict, common-sense alphabetical organization with no subentries makes it easy to find key terms and definitions. NEW! Over 300 new and updated illustrations visually clarify key definitions and reflect current health care practice and equipment. NEW! Approximately 11,000 new and revised definitions reflect the latest developments in health care. NEW! Editor Marie O’Toole, EdD, RN, FAAN lends her expertise to this new edition, reviewing and revising all definitions and assembling a team of leading consultants and contributors.
Stedman's CPT Dictionary
Author: American Medical Association
Publisher: American Medical Association Press
ISBN: 9781603591522
Category : Medicine
Languages : en
Pages : 0
Book Description
This expanded Second Edition of AMA Stedman's CPT(R) Dictionary will enhance readers' understanding of CPT(R) code descriptions and improve coding efficiency. Developed by the American Medical Association's CPT(R) experts in conjunction with Stedman's, this essential coding reference now contains newly customized definitions of medical terms used in CPT(R) code descriptors. Definitions are organized by the eight CPT(R) sections, allowing the user to locate a term and understand its meaning within a particular codebook section. New features include an additional 40 illustrations, the addition of more than 1,000 new terms for a total of over 9,000 definitions, and updated appendices listing critical information regarding medical synonyms, eponyms, abbreviations, and terminology.
Publisher: American Medical Association Press
ISBN: 9781603591522
Category : Medicine
Languages : en
Pages : 0
Book Description
This expanded Second Edition of AMA Stedman's CPT(R) Dictionary will enhance readers' understanding of CPT(R) code descriptions and improve coding efficiency. Developed by the American Medical Association's CPT(R) experts in conjunction with Stedman's, this essential coding reference now contains newly customized definitions of medical terms used in CPT(R) code descriptors. Definitions are organized by the eight CPT(R) sections, allowing the user to locate a term and understand its meaning within a particular codebook section. New features include an additional 40 illustrations, the addition of more than 1,000 new terms for a total of over 9,000 definitions, and updated appendices listing critical information regarding medical synonyms, eponyms, abbreviations, and terminology.
Dictionary Learning Algorithms and Applications
Author: Bogdan Dumitrescu
Publisher: Springer
ISBN: 3319786741
Category : Technology & Engineering
Languages : en
Pages : 289
Book Description
This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures. Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation; Covers all dictionary structures that are meaningful in applications; Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.
Publisher: Springer
ISBN: 3319786741
Category : Technology & Engineering
Languages : en
Pages : 289
Book Description
This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures. Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation; Covers all dictionary structures that are meaningful in applications; Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.
Advanced Video Coding Systems
Author: Wen Gao
Publisher: Springer
ISBN: 3319142437
Category : Computers
Languages : en
Pages : 244
Book Description
This book presents an overview of the state of the art in video coding technology. Specifically, it introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding. Features: introduces the basic concepts in video coding, and presents a short history of video coding technology and standards; reviews the coding framework, main coding tools, and syntax structure of AVS2; describes the key technologies used in the AVS2 standard, including prediction coding, transform coding, entropy coding, and loop-filters; examines efficient tools for scene video coding and surveillance video, and the details of a promising intelligent video coding system; discusses optimization technologies in video coding systems; provides a review of image, video, and 3D content quality assessment algorithms; surveys the hot research topics in video compression.
Publisher: Springer
ISBN: 3319142437
Category : Computers
Languages : en
Pages : 244
Book Description
This book presents an overview of the state of the art in video coding technology. Specifically, it introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding. Features: introduces the basic concepts in video coding, and presents a short history of video coding technology and standards; reviews the coding framework, main coding tools, and syntax structure of AVS2; describes the key technologies used in the AVS2 standard, including prediction coding, transform coding, entropy coding, and loop-filters; examines efficient tools for scene video coding and surveillance video, and the details of a promising intelligent video coding system; discusses optimization technologies in video coding systems; provides a review of image, video, and 3D content quality assessment algorithms; surveys the hot research topics in video compression.
Dictionary Learning in Visual Computing
Author: Qiang Zhang
Publisher: Springer Nature
ISBN: 303102253X
Category : Technology & Engineering
Languages : en
Pages : 133
Book Description
The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks, largely due to their utilization in developing new techniques based on sparse representation. Compared with conventional techniques employing manually defined dictionaries, such as Fourier Transform and Wavelet Transform, dictionary learning aims at obtaining a dictionary adaptively from the data so as to support optimal sparse representation of the data. In contrast to conventional clustering algorithms like K-means, where a data point is associated with only one cluster center, in a dictionary-based representation, a data point can be associated with a small set of dictionary atoms. Thus, dictionary learning provides a more flexible representation of data and may have the potential to capture more relevant features from the original feature space of the data. One of the early algorithms for dictionary learning is K-SVD. In recent years, many variations/extensions of K-SVD and other new algorithms have been proposed, with some aiming at adding discriminative capability to the dictionary, and some attempting to model the relationship of multiple dictionaries. One prominent application of dictionary learning is in the general field of visual computing, where long-standing challenges have seen promising new solutions based on sparse representation with learned dictionaries. With a timely review of recent advances of dictionary learning in visual computing, covering the most recent literature with an emphasis on papers after 2008, this book provides a systematic presentation of the general methodologies, specific algorithms, and examples of applications for those who wish to have a quick start on this subject.
Publisher: Springer Nature
ISBN: 303102253X
Category : Technology & Engineering
Languages : en
Pages : 133
Book Description
The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks, largely due to their utilization in developing new techniques based on sparse representation. Compared with conventional techniques employing manually defined dictionaries, such as Fourier Transform and Wavelet Transform, dictionary learning aims at obtaining a dictionary adaptively from the data so as to support optimal sparse representation of the data. In contrast to conventional clustering algorithms like K-means, where a data point is associated with only one cluster center, in a dictionary-based representation, a data point can be associated with a small set of dictionary atoms. Thus, dictionary learning provides a more flexible representation of data and may have the potential to capture more relevant features from the original feature space of the data. One of the early algorithms for dictionary learning is K-SVD. In recent years, many variations/extensions of K-SVD and other new algorithms have been proposed, with some aiming at adding discriminative capability to the dictionary, and some attempting to model the relationship of multiple dictionaries. One prominent application of dictionary learning is in the general field of visual computing, where long-standing challenges have seen promising new solutions based on sparse representation with learned dictionaries. With a timely review of recent advances of dictionary learning in visual computing, covering the most recent literature with an emphasis on papers after 2008, this book provides a systematic presentation of the general methodologies, specific algorithms, and examples of applications for those who wish to have a quick start on this subject.
Machine Learning: Theory and Applications
Author:
Publisher: Newnes
ISBN: 0444538666
Category : Computers
Languages : en
Pages : 551
Book Description
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques
Publisher: Newnes
ISBN: 0444538666
Category : Computers
Languages : en
Pages : 551
Book Description
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques
Evidence Based Validation of Traditional Medicines
Author: Subhash C. Mandal
Publisher: Springer Nature
ISBN: 9811581274
Category : Medical
Languages : en
Pages : 1135
Book Description
The demand for traditional medicines, herbal health products, herbal pharmaceuticals, nutraceuticals, food supplements and herbal cosmetics etc. is increasing globally due to the growing recognition of these products as mainly non-toxic, having lesser side effects, better compatibility with physiological flora, and availability at affordable prices. In the last century, medical science has made incredible advances all over the globe. In spite of global reorganization and a very sound history of traditional uses, the promotion of traditional medicine faces a number of challenges around the globe, primarily in developed nations. Regulation and safety is the high concern for the promotion of traditional medicine. Quality issues and quality control, pharmacogivilane, scientific investigation and validation, intellectual property rights, and biopiracy are some key issues that restrain the advancement of traditional medicine around the globe. This book contains diverse and unique chapters, explaining in detail various subsections like phytomolecule, drug discovery and modern techniques, standardization and validation of traditional medicine, and medicinal plants, safety and regulatory issue of traditional medicine, pharmaceutical excipients from nature, plants for future. The contents of the book will be useful for the academicians, researchers and people working in the area of traditional medicine.
Publisher: Springer Nature
ISBN: 9811581274
Category : Medical
Languages : en
Pages : 1135
Book Description
The demand for traditional medicines, herbal health products, herbal pharmaceuticals, nutraceuticals, food supplements and herbal cosmetics etc. is increasing globally due to the growing recognition of these products as mainly non-toxic, having lesser side effects, better compatibility with physiological flora, and availability at affordable prices. In the last century, medical science has made incredible advances all over the globe. In spite of global reorganization and a very sound history of traditional uses, the promotion of traditional medicine faces a number of challenges around the globe, primarily in developed nations. Regulation and safety is the high concern for the promotion of traditional medicine. Quality issues and quality control, pharmacogivilane, scientific investigation and validation, intellectual property rights, and biopiracy are some key issues that restrain the advancement of traditional medicine around the globe. This book contains diverse and unique chapters, explaining in detail various subsections like phytomolecule, drug discovery and modern techniques, standardization and validation of traditional medicine, and medicinal plants, safety and regulatory issue of traditional medicine, pharmaceutical excipients from nature, plants for future. The contents of the book will be useful for the academicians, researchers and people working in the area of traditional medicine.
Advancing Methods for Psychological Assessment Across Borders
Author: Kai Ruggeri
Publisher: Frontiers Media SA
ISBN: 2889459489
Category :
Languages : en
Pages : 212
Book Description
Publisher: Frontiers Media SA
ISBN: 2889459489
Category :
Languages : en
Pages : 212
Book Description