SEVERITY PREDICTION METHODS FOR DIAGNOSING SEPSIS
JP7651801B2Active Publication Date: 2025-03-27VUNO INC +2
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Patent Information
- Application Number
- JP2023137465
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2023-04-26
- Filing Date
- 2023-08-25
- Publication Date
- 2025-03-27
- Estimated Expiration
- 2043-08-25
Abstract
To provide a method for predicting severity of a patient.SOLUTION: A method for predicting severity of a patient by a computing device includes the steps of: obtaining EMR data of the patient and a biological signal of the patient; and generating, using a severity prediction model, a predicted value related to the severity of the patient based on the EMR data of the patient and the biological signal of the patient. The severity prediction model is subjected to learning using part of learning EMR data extracted based on time sections in which a plurality of predetermined items are acquired and biological signals for learning corresponding to the time sections.SELECTED DRAWING: Figure 3
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