Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (Februar 2027)
Genre:	Wirtschaft / Recht
	Artificial Intelligence / Artificial Intelligence (AI) / BUSINESS & ECONOMICS / Insurance / Health / COMPUTERS / Artificial Intelligence / General / Databricks / Electrical Engineering / Electronics engineering / Epidemiology & medical statistics / Epidemiology and Medical statistics / Ethical AI / Health systems & services / Health systems and services / HIPAA / Insurance & actuarial studies / Insurance and actuarial studies / MEDICAL / Informatics / MLOps / Non-profitmaking organizations / Spark mehr...
ISBN:	9781041206378
EAN-Code:	9781041206378
Verlag:	Taylor and Francis
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Seiten:	328
Illustration:	schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

This book provides a comprehensive guide to applying AI/ML in healthcare insurance, from understanding raw claims data to deploying risk models in production environments. It presents a data-to-decision journey-integrating scalable engineering, ethical AI practices, and predictive modeling in the healthcare insurance lifecycle. With insights from real-world U.S.-based Health tech projects, it empowers readers to design, implement, and interpret machine learning pipelines tailored for risk scoring, fraud detection, and care optimization. It covers such tools as Apache Spark, Azure, and Databricks.