The book begins with providing an overview of key concepts such as data science, machine learning, AI, language models (such as ChatGTP) and more. Then the author expands up the defined process in the context of common revenue cycle use cases that l...Lasīt vairāk
This comprehensive volume explores cutting-edge technologies, groundbreaking methodologies, and insightful ethical considerations. It brings together leading minds and research across diverse domains, offering readers a glimpse into the future of he...Lasīt vairāk
This book provides a practical, application-driven guide to using R for public health and health data science, accessible to both beginners and those with some coding experience. Each module starts with data as the driver of analysis before introduc...Lasīt vairāk
The book examines the unique challenges and opportunities that emerged because of the pandemic. It provides a comprehensive roadmap for healthcare institutions seeking to leverage digital solutions for improved patient care, public health, and crisi...Lasīt vairāk
Primarily aimed at modellers working in the field of HTA, regulators and reviewers of reimbursement dossiers and cost-effectiveness analyses....Lasīt vairāk
This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like AI and ML are reshaping the medical landscape....Lasīt vairāk
This book aims to empower healthcare professionals by providing them with knowledge across various aspects of AI/ML, enabling them to realize positive, lasting business value from AI and ML initiatives. The book draws upon my experience of working i...Lasīt vairāk
This book presents a detailed explanation of the concepts, taxonomy, and challenges in Healthcare 4.0 and provides frameworks for the adaptation and fusion of emerging technologies under Healthcare 5.0....Lasīt vairāk
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. A comprehensive guide for healthcare professionals, AI researchers, and those seeking to d...Lasīt vairāk
This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis. The book explores and highlights the latest advancements, methodologies, applications, and tools in thes...Lasīt vairāk
This comprehensive book delves into the key features introduced in Java 22, providing insights and practical examples to help readers understand and implement these enhancements within the context of medical applications with goal of enhancing medic...Lasīt vairāk
The text provides an understanding of ethical concerns regarding the use of artificial intelligence in diverse industries such as communication, healthcare, agriculture, and business. It discusses concepts such as geographic information system gener...Lasīt vairāk
CyberMedics: Navigating AI and Security in the Medical Field is a comprehensive exploration of the transformative role of artificial intelligence (AI) in healthcare and the critical importance of securing medical data in an increasingly digital worl...Lasīt vairāk
The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of de...Lasīt vairāk
This timely volume provides a comprehensive examination of how the proposed new European Health Data Space (EHDS) legislation will impact upon health and genetic data, individual privacy, and providers of health services....Lasīt vairāk
Sērija : River Publishers Series in Digital Security and Forensics
(Izdošanas datums: 27-Feb-2025, Izdevniecība: River Publishers, ISBN-13: 9788770047760)
This book explores current cybersecurity trends and effective software applications, AI, and decision-making processes to combat cyberattacks. It emphasizes the importance of compliance, provides downloadable digital forensics software, and examines...Lasīt vairāk
Meghna Sharma, Priyanka Vashisht, A. V. Senthil Kumar, Chitra Singh, Abdelmalek Amine
(Izdošanas datums: 10-Feb-2025, Izdevniecība: Apple Academic Press Inc., ISBN-13: 9781003558743)
Discusses various solutions for the diagnosis of patients with the help of automated processes using artificial intelligence techniques and technology. Highlights the possibilities of artificial intelligence, machine learning, and deep learning tech...Lasīt vairāk
