Panteleimon Ekkekakis provides an accessible guidebook which clarifies theory and proposes a sound system for selecting measures for affective constructs.
This book focuses on novel approaches that provide a reliable basis for identifying what kinds of patients are likely to benefit from the each new treatment.
This book focuses on novel approaches that provide a reliable basis for identifying what kinds of patients are likely to benefit from the each new treatment.
This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.
This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.
This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML).
In this new edition, the editors and contributors update and expand on the educational framework that was introduced in the first edition for rethinking disability in public health study and practice and for attaining the competencies that should accompany this knowledge.
This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.
This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.
One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)-evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions.
One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)-evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions.
Patient-focused healthcare, driven by COVID-19 experiences, has become a hallmark for providing healthcare services to patients across all modalities of care and in the home.
Patient-focused healthcare, driven by COVID-19 experiences, has become a hallmark for providing healthcare services to patients across all modalities of care and in the home.
This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers.
This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers.
Authoritative, clear and concise, this highly acclaimed book continues to be an essential text for all medical, surgical and allied health professionals who are seeking a quick and respected guide to systematically reviewing the literature.
Authoritative, clear and concise, this highly acclaimed book continues to be an essential text for all medical, surgical and allied health professionals who are seeking a quick and respected guide to systematically reviewing the literature.
Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology.
Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology.
This informative book is valuable to a broad spectrum of individuals active in the environmental and health sciences, including chemists, epidemiologists, and mathematics modelers, as well as those involved with measurement and effects of numerous kinds of drinking water contamination and both indoor and ambient air pollution.
Statistical methods that are commonly used in the review and approval process of regulatory submissions are usually referred to as statistics in regulatory science or regulatory statistics.
