Anuj Sharma – författare

This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications.

The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs.

Other essential features of the book include:

Audience

The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning.

This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications.

The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs.

Other essential features of the book include:

Audience

The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning.

A perfect guide for those studding Veterinary Science professional Veterinary scientists and practicing personnel. It comprehensively covers all fields of Veterinary Science. This solute covers different branches of veterinary Science such as cells, tissues, systems, nutrition, species comparison, principles of disease, disease prevention and diagnosis, zoometric disease, surgery, decisions in veterinary practice, normal physical parameters, infectious diseases, calculation conversions, activities in cells, or girls, processes such as contractility of muscle tissue, coordination through the nervous system, feeding, digestion, excretion, respiration, circulation, reproduction, and secretion. This volume will provide teachers, students and laymen interested in Veterinary Science with clear, concise, and correct definitions and descriptions of the Veterinary Science terms.