Applications of Artificial Intelligence and Machine Learning in Health Sciences

Artificial intelligence and machine learning offer important methods for measurement, data analysis, clinical decision support, drug dose management, and computational examination of biological processes in health sciences. The reliable use of these methods requires correct data, suitable model selection, clear reporting, and careful clinical interpretation.

“Application of Artificial Intelligence and Machine Learning in Health Science” is an academic work that examines artificial intelligence and machine learning applications in health sciences through scientific evidence and measurable data. The book examines anthropometric measurements, respiratory sounds, clinical and genetic variables, drug dose response, molecular motion, energy transfer, and computational modeling.

Prepared by expert physicians, academics, and researchers in their fields, this book is an evidence-based, balanced, and scientific source for readers working in medicine, health sciences, biomedical engineering, physiology, pharmacology, clinical decision support systems, and computational biology.