Sepsis mortality prediction using wearable monitoring in low-middle income countries
Sepsis is associated with high mortality-particularly in low-middle income countries (LMICs). Critical care management of sepsis is challenging in LMICs due to the lack of care providers and the high cost of bedside monitors. Recent advances in wearable sensor technology and machine learning (ML) mo...
Hauptverfasser: | Ghiasi, S, Zhu, T, Lu, P, Hagenah, J, Khanh, PNQ, Hao, NV, Vital Consortium, Thwaites, L, Clifton, DA |
---|---|
Format: | Journal article |
Sprache: | English |
Veröffentlicht: |
MDPI
2022
|
Ähnliche Einträge
Ähnliche Einträge
-
Sepsis Mortality Prediction Using Wearable Monitoring in Low–Middle Income Countries
von: Shadi Ghiasi, et al.
Veröffentlicht: (2022-05-01) -
Classification of tetanus severity in intensive-care settings for low-income countries using wearable sensing
von: Lu, P, et al.
Veröffentlicht: (2022) -
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing
von: Ping Lu, et al.
Veröffentlicht: (2022-08-01) -
Improving classification of tetanus severity for patients in low-middle income countries wearing ECG sensors by using a CNN-transformer network
von: Lu, P, et al.
Veröffentlicht: (2022) -
Tetanus Severity Classification in Low-Middle Income Countries through ECG Wearable Sensors and a 1D-Vision Transformer
von: Ping Lu, et al.
Veröffentlicht: (2024-01-01)