Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2023
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / Biomedical engineering / Computer aided manufacture (CAM) / Computer applications in industry and technology / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Computer Science / COMPUTERS / Data Science / Data Visualization / COMPUTERS / Database Administration & Management / Data Capture & Analysis / Data capture and analysis / electronic health records analysis / explainable deep learning in healthcare / healthcare informatics / Information technology# general issues / interpretability models / MEDICAL / Diagnostic Imaging / General / Medical imaging / medical IoT applications / Medical;Data;Artificial;Intellienge / patient privacy protection / TECHNOLOGY & ENGINEERING / Biomedical mehr...
ISBN:	9781032191126
EAN-Code:	9781032191126
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	453 gr
Seiten:	252
Illustration:	schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing Discusses machine learning and deep learning scalability models in healthcare systems This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.