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...
Главные авторы: | Ghiasi, S, Zhu, T, Lu, P, Hagenah, J, Khanh, PNQ, Hao, NV, Vital Consortium, Thwaites, L, Clifton, DA |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
MDPI
2022
|
Схожие документы
-
Sepsis Mortality Prediction Using Wearable Monitoring in Low–Middle Income Countries
по: Shadi Ghiasi, и др.
Опубликовано: (2022-05-01) -
Classification of tetanus severity in intensive-care settings for low-income countries using wearable sensing
по: Lu, P, и др.
Опубликовано: (2022) -
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing
по: Ping Lu, и др.
Опубликовано: (2022-08-01) -
Improving classification of tetanus severity for patients in low-middle income countries wearing ECG sensors by using a CNN-transformer network
по: Lu, P, и др.
Опубликовано: (2022) -
Tetanus Severity Classification in Low-Middle Income Countries through ECG Wearable Sensors and a 1D-Vision Transformer
по: Ping Lu, и др.
Опубликовано: (2024-01-01)