Fr. 239.00

Artificial Intelligence in Modern Healthcare System

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

The book explores advancements in medical system design through the use of recent technologies, particularly artificial intelligence. It analyzes the accuracy of predictions suitable for real-time deployment of these methodologies. The text covers a wide range of prediction and segmentation algorithms based on machine learning and deep learning techniques. These approaches are applied in the analysis of critical diseases, such as mental disorders, diabetic retinopathy, cardiovascular disorders, breast cancer, and many others.

Sommario

Introduction to AI in Medical Systems.- Background and research orientation of AI techniques in Medical Imaging.- Benchmark datasets for analysis in Medical System.- AI for diagnosis of mental illness and neurological disorders.

Info autore










Ashish Kumar is Assistant Professor in the Department of History, Panjab University, Chandigarh (India). His area of specialization is ancient and early medieval history of India with a special interest in the history of political processes and connected economic and religious developments.

Riassunto

The book explores advancements in medical system design through the use of recent technologies, particularly artificial intelligence. It analyzes the accuracy of predictions suitable for real-time deployment of these methodologies. The text covers a wide range of prediction and segmentation algorithms based on machine learning and deep learning techniques. These approaches are applied in the analysis of critical diseases, such as mental disorders, diabetic retinopathy, cardiovascular disorders, breast cancer, and many others.

Recensioni dei clienti

Per questo articolo non c'è ancora nessuna recensione. Scrivi la prima recensione e aiuta gli altri utenti a scegliere.

Scrivi una recensione

Top o flop? Scrivi la tua recensione.

Per i messaggi a CeDe.ch si prega di utilizzare il modulo di contatto.

I campi contrassegnati da * sono obbligatori.

Inviando questo modulo si accetta la nostra dichiarazione protezione dati.