Artificial Intelligence and Data Mining in Healthcare -

Artificial Intelligence and Data Mining in Healthcare

Buch | Softcover
XIX, 195 Seiten
2022 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-45242-1 (ISBN)
160,49 inkl. MwSt

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection.

The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.


Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda.- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support.- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods.- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions.- Operating Theater Management System: Block-Scheduling.- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records.- Optimized Medical Images Compression for Telemedicine Applications.- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets.- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications.

Erscheinungsdatum
Zusatzinfo XIX, 195 p. 62 illus., 39 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 338 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Gesundheitswesen
Technik
Schlagworte Artificial Intelligence (AI) • Computational Intelligence (CI) • Data Mining • Decision support system • Healthcare • machine learning • Patient Management
ISBN-10 3-030-45242-5 / 3030452425
ISBN-13 978-3-030-45242-1 / 9783030452421
Zustand Neuware
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