Learning meaningful latent space representations for patient risk stratification: model development and validation for dengue and other acute febrile illnes

Learning meaningful latent space representations for patient risk stratification: model development and validation for dengue and other acute febrile illnes

<p><strong>Background:</strong> Increased data availability has prompted the creation of clinical decision support systems. These systems utilise clinical information to enhance health care provision, both to predict the likelihood of specific clinical outcomes or evaluate the risk...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Hernandez, B, Stiff, O, Ming, DK, Ho Quang, C, Nguyen Lam, V, Nguyen Minh, T, Nguyen Van Vinh, C, Nguyen Minh, N, Nguyen Quang, H, Phung Khanh, L, Dong Thi Hoai, T, Dinh The, T, Huynh Trung, T, Wills, B, Simmons, CP, Holmes, AH, Yacoub, S, Georgiou, P
Weitere Verfasser: Vietnam ICU Translational Applications Laboratory (VITAL) investigators
Format: Journal article
Sprache:English
Veröffentlicht: Frontiers Media 2023

Ähnliche Einträge

Ähnliche Einträge