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Wang et al., 2023 - Google Patents

Invasive mechanical ventilation probability estimation using machine learning methods based on non-invasive parameters

Wang et al., 2023

Document ID
14326817418359554418
Author
Wang H
Wang C
Xu J
Yuan J
Liu G
Zhang G
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

Objectives Timely and accurate prediction of the requirement for invasive mechanical ventilation (IMV) can reduce patient mortality. Existing methods (traditional risk adjustment algorithms, clinical observation, et.) use laboratory parameters requiring specialized …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
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    • G06F19/3431Calculating a health index for the patient, e.g. for risk assessment
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    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network

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