Machine Learning in Healthcare: Data-Driven Decisions, Predictive Modelling, Personalized Medicine

Machine Learning in Healthcare: Data-Driven Decisions, Predictive Modelling, Personalized Medicine

Machine Learning in Healthcare: Data-Driven Decisions, Predictive Modelling, Personalized Medicine is a comprehensive and forward-looking resource that explores how machine learning (ML) and artificial intelligence (AI) are transforming modern healthcare. This book is designed for healthcare professionals, data scientists, researchers, students, and decision-makers who want to understand and apply data-driven approaches to improve clinical outcomes, operational efficiency, and personalized patient care.

The book provides a clear and structured introduction to machine learning concepts within a healthcare context, bridging the gap between technical algorithms and real-world clinical applications. It explains how large-scale healthcare data—such as electronic health records (EHRs), medical imaging, genomics, wearable data, and population health datasets—can be leveraged to build intelligent models that support better medical decisions. Complex ideas are presented in an accessible manner, making the content valuable even for readers without a deep technical background.

A major focus of the book is predictive modelling in healthcare, including disease risk prediction, early diagnosis, prognosis estimation, hospital readmission prediction, and clinical decision support systems. Through practical examples and case studies, readers learn how machine learning models are developed, validated, and deployed in clinical settings. The book also highlights the growing role of personalized and precision medicine, demonstrating how ML enables tailored treatment strategies based on individual patient characteristics, genetics, and lifestyle factors.

In addition to applications, the book addresses ethical, legal, and practical challenges such as data privacy, bias, model transparency, interpretability, and regulatory considerations. It emphasizes responsible AI use and the importance of collaboration between clinicians, data scientists, and policymakers to ensure safe and effective implementation.

Available on BooksHub.pk, this title is an excellent choice for readers in Pakistan who want to buy original healthcare AI and machine learning books online. BooksHub.pk offers authentic editions, competitive pricing, and reliable nationwide delivery, making it easy to access cutting-edge academic and professional resources.

If you are interested in using machine learning to drive smarter healthcare decisions and advance personalized medicine, this book is an essential addition to your professional and academic library.

Key Features

• Clear introduction to machine learning concepts in healthcare

• Focus on data-driven clinical decision-making

• In-depth coverage of predictive modelling in medicine

• Applications in diagnosis, prognosis, risk prediction, and clinical workflows

• Strong emphasis on personalized and precision medicine

• Real-world case studies and practical examples

• Discussion of ethics, bias, data privacy, and regulatory challenges

• Ideal for clinicians, researchers, students, and healthcare data scientists