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Elsevier: Buck's Step-by-Step Medical
Coding, 2026 Edition

Buck's Step-by-Step Medical Coding, 2026 Edition

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

Medical Data Analysis and Developing ML/AI Models

Application of Python in the Healthcare Technology

Pharmacology and Therapeutics for Dentistry

Diehl's Canadian Medical Transcription Workbook

Buck's 2026 HCPCS Level II

Genome Analysis: Principles and Methods provides recent and advanced information about genome analysis approaches and techniques to study and annotate the structure and function of the genome. It is a compendium of important topics such as NGS analysis, genome fragmentation and assembly, metagenomics, cloning and expression, physical marker analysis, transcriptome data analysis, sequence alignment and comparison, evolutionary analysis, SNP analysis, genome-based disease diagnosis and therapies, micro-RNAs, pharmacogenomics, genetic approaches to disease intervention, and challenges with opportunities in genome analysis and genomics, etc. The latest developments in the field are discussed, and key concepts are introduced to ensure readers understand advanced concepts and methodologies in the area. The book serves as a valuable guide to the present, emerging, and evolving research methodologies in the field.

Principles and Methods

Genome Analysis

Master advanced coding skills! Buck's The Next Step: Advanced Medical Coding and Auditing shows how to code for services such as medical visits, diagnostic testing and interpretation, treatments, surgeries, and anesthesia. Real-world cases (cleared of any patient identifiers) takes your coding proficiency a step further by providing hands-on practice with physician documentation. With this guide, you'll learn to pull the right information from medical documents, select the right codes, determine the correct sequencing of those codes, and properly audit cases. NEW! Coding updates include the latest information available, including 2026 code updates when releasedReal-world patient cases (cleared of any patient identifiers) simulate the first year of coding on the job by using actual medical records, allowing you to practice coding with advanced materialUNIQUE! Evaluation and Management (E/M) audit forms include clear coding instructions to help reduce errors in determining the correct level of serviceMore than 150 full-color illustrations depict and clarify advanced coding conceptsCoverage of CPT E/M guidelines changes for office and other outpatient codesFrom the Trenches boxes highlight the real-life experiences of professional medical coders and include photographs, quotes, practical tips, and advice

Buck's The Next Step: Advanced Medical Coding and Auditing, 2025/2026 Edition

A Worktext

Medical Office Administration: A Worktext

Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author’s own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI. This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.

Healthcare Applications of Neuro-Symbolic Artificial Intelligence

Geometric Morphometrics for Biologists: A Primer, Third Edition explores how these geometric methods allow for the study of biological shape by incorporating the geometry of organisms throughout data analyses. Novel content on phylogenetic comparative methods, evolutionary morphology, analyses of disparity, genetics of shape, and simulating shape data is included. This edition delivers step-by-step guidance on how to effectively utilize updated analytical software while also providing guidance on important methodologies that remain relevant to the field to ensure clear and effective instruction to audiences new to this branch of data analysis. It succeeds the second edition as the primary resource for teaching modern geometric methods of shape analysis to students, researchers, and practicing scientists in the field of organismal biology. Users will find it to be an immensely valuable introduction for students and practicing biologists interested in learning applications of multivariate statistics and matrix algebra to organismal biology.

A Primer

Geometric Morphometrics for Biologists

Get the most out of your Today's Medical Assistant: Clinical and Administrative Procedures textbook with this practical study guide! With chapters corresponding to those in the textbook, this review provides the extra practice you need to master the clinical and administrative procedures performed by medical assistants. Each chapter includes a wide range of exercises, performance checklists, and a guide to the amount of practice you need to attain competency. Written by the textbook’s author, this review tool provides everything you need to master all of today’s important medical assisting skills!<ul><li>NEW! Content alignment to 2022 CAAHEP Medical Assisting educational competencies helps you review and perform today’s tasks at a level of accuracy and speed required of the entry-level practitioner</li><li>NEW review content includes exercises on telemedicine, vaccinations, COVID-19 protocols, Cologuard, eating disorders, managing reimbursements, and professionalism</li><li>NEW coverage of gloving and masking procedures helps to protect against COVID-19 and other infectious diseases</li><li>Variety of practice exercises includes matching, true/false, key terms, word parts, short-answer questions, crossword puzzles, critical thinking exercises, and more</li><li>Chapter pretests and posttests help you to measure your mastery of the content</li><li>Laboratory assignment sheets call out each chapter’s procedures and include performance checklists to help organize your study time</li><li>Practice for Competency sections include worksheets with a guide to performing each clinical skill</li><li>Critical thinking activities help you develop the judgment needed for real-life medical office situations</li><li>Perforated pages allow on-the-go review and make it easy to submit assignments</li></ul>

Clinical and Administrative Procedures

Study Guide for Today's Medical Assistant

Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic offers an advanced exploration into the comprehensive understanding of disease etiology and prognosis through multiomics approaches. This authoritative volume delves into the applications of multiomics technology in elucidating complex human health conditions and diseases. It introduces the technology's potential for biomarker identification, drug discovery, and disease prognostication. For a thorough understanding of human health and diseases, particularly cancer, it is essential to integrate knowledge of molecular biomarkers across multiple omics levels, including the genome, epigenome, transcriptome, proteome, and metabolome. This resource addresses the current gaps in knowledge among students and researchers, providing in-depth coverage of multiomics technology and its implementation in scientific research and discovery. Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics is a pioneering resource that presents cutting-edge information on contemporary multiomics technologies for big data interpretation and their applications in deciphering complex human pathobiology. This comprehensive guide is indispensable for researchers, academics, students, and industry professionals alike.

Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics

Multi-Omics Technology in Human Health and Diseases

Routledge Advances in Translation and Interpreting Studies

Critical Sociolinguistic Perspectives on Health Care Interpreting

Multilingual Practices and Monolingual Mindsets

Buck's Step-by-Step Medical Coding, 2026 Edition

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