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...

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Бібліографічні деталі
Автори: 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
Інші автори: Vietnam ICU Translational Applications Laboratory (VITAL) investigators
Формат: Journal article
Мова:English
Опубліковано: Frontiers Media 2023

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