Galiya Yeshmagambetova

Unraveling Patient Heterogeneity in ICU With Deep Embedded Clustering Using Co-morbidity, Clinical Examination, and Laboratory Data

M. Wiering, A. Epema, R. Eck, 2020 .

Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery

M. Nijsten, R. Henning, T. Scheeren, 2022, JAMA network open.

Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering

M. Wiering, I. V. D. van der Horst, A. Epema, 2021, Scientific Reports.

Deep Learning for Identification of Acute Illness and Facial Cues of Illness

M. Wiering, R. Henning, John Axelsson, 2021, Frontiers in Medicine.