Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	März 2025
Genre:	EDV / Informatik
	Artificial Intelligence / Automatic control engineering / Biomedical engineering / Clinical decision support / Computer architecture & logic design / Computer architecture and logic design / COMPUTERS / Blockchain / COMPUTERS / Computer Engineering / COMPUTERS / Computer Science / COMPUTERS / Data Science / General / COMPUTERS / Distributed Systems / Cloud Computing / COMPUTERS / Internet of Things (IoT) / disease classification models / health informatics methods / Information technology# general issues / Information technology# general topics / machine learning for patient outcomes / medical data privacy / patient risk prediction / Real time operating systems / Software Engineering mehr...
ISBN:	9781032526102
EAN-Code:	9781032526102
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	690 gr
Seiten:	270
Illustration:	schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis.