Multi-modal mixed-type structural equation modeling with structured sparsity for subgroup discovery from heterogeneous health data

The increasing availability of health data from resources such as large biobanks, electronic healthcare records, medical tests, and wearable sensors, has set the stage for the development of novel machine learning (ML) models for multi-modal mixed-type data to capture the complexity of human health...

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Veröffentlicht in:	IISE transactions Jg. 57; H. 12; S. 1497 - 1511
Hauptverfasser:	Ding, Yu, Somers, Virend K., Si, Bing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.12.2025
Schlagworte:	multi-modal mixed-type data Clustering structural equation modeling healthcare subgroup discovery
ISSN:	2472-5854, 2472-5862, 2472-5862
Online-Zugang:	Volltext
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