Name: Artificial Intelligence and Machine Learning in Healthcare (en Inglés)
SKU: 59398616
Price: 140.37 USD
Availability: InStock
Author: Saxena, Ankur ; Chandra, Shivani

portada Artificial Intelligence and Machine Learning in Healthcare (en Inglés)

Artificial Intelligence and Machine Learning in Healthcare (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Saxena, Ankur ; Chandra, Shivani

Idioma

Inglés

N° páginas

228

Encuadernación

Tapa Dura

ISBN13

9789811608100

Categorías

Administración y gestión médicas
Anatomía
Fisiología
Biología, ciencias de la vida
Inteligencia artificial

Artificial Intelligence and Machine Learning in Healthcare (en Inglés)

Saxena, Ankur ; Chandra, Shivani (Autor) · Springer · Tapa Dura

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 280.74$ 140.37

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 140.37

Llega entre el 22 Sep y el 05 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Artificial Intelligence and Machine Learning in Healthcare (en Inglés)"

This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.