Name: Applications of Artificial Intelligence in E-Healthcare Systems (Healthcare Technologies) (en Inglés)
Price: 619383.00 COP
Availability: InStock
Author: Sabharwal, Munish ; Balusamy, B. Balamurugan ; Rakesh Kumar, S.
ISBN: 9781839534492

portada Applications of Artificial Intelligence in E-Healthcare Systems (Healthcare Technologies) (en Inglés)

Formato

Libro Físico

Ilustrado por

Munish Sabharwal

B. Balamurugan Balusamy

Editorial

Institution of Engineering & Technology

Autor

Sabharwal, Munish ; Balusamy, B. Balamurugan ; Rakesh Kumar, S.

Idioma

Inglés

N° páginas

306

Encuadernación

Tapa Dura

Dimensiones

23.9 x 16.0 x 2.0 cm

Peso

0.64 kg.

ISBN13

9781839534492

Categorías

Inteligencia artificial

Applications of Artificial Intelligence in E-Healthcare Systems (Healthcare Technologies) (en Inglés)

Munish Sabharwal (Ilustrado por) · B. Balamurugan Balusamy (Ilustrado por) · Institution of Engineering & Technology · Tapa Dura

Libro Físico

$ 619.383

$ 952.897

Ahorras: $ 333.514

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 08 de Julio y el Lunes 22 de Julio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Applications of Artificial Intelligence in E-Healthcare Systems (Healthcare Technologies) (en Inglés)"

Increased use of artificial intelligence (AI) is being deployed in many hospitals and healthcare settings to help improve health care service delivery. Machine learning (ML) and deep learning (DL) tools can help guide physicians with tasks such as diagnosis and detection of diseases and assisting with medical decision making. This edited book outlines novel applications of AI in e-healthcare. It includes various real-time/offline applications and case studies in the field of e-Healthcare, such as image recognition tools for assisting with tuberculosis diagnosis from x-ray data, ML tools for cancer disease prediction, and visualisation techniques for predicting the outbreak and spread of Covid-19. Heterogenous recurrent convolution neural networks for risk prediction in electronic healthcare record datasets are also reviewed. Suitable for an audience of computer scientists and healthcare engineers, the main objective of this book is to demonstrate effective use of AI in healthcare by describing and promoting innovative case studies and finding the scope for improvement across healthcare services.