Hemodialysis hypotension prediction system based on machine learning

By designing a machine learning-based prediction system for hypotension in hemodialysis, using technologies such as clustering, regularization and random forests, the problem of existing models neglecting individual differences and clinical factors is solved, and the accurate prediction of the risk of hypotension in hemodialysis is achieved.

CN120126809AActive Publication Date: 2025-06-10DALIAN UNIV OF TECH
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Patent Information

Application Number
CN202510337562.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-21
Publication Date
2025-06-10
Estimated Expiration
2045-03-21

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Abstract

The invention discloses a hemodialysis hypotension prediction system based on machine learning, which comprises an information input module, a patient clustering module, a feature screening module and a risk prediction module, and is characterized in that the risk prediction module constructs the prediction system by constructing a static data risk prediction model and a dynamic data risk prediction model; the technology of predicting the occurrence risk of the hypotension in advance during hemodialysis of a patient is achieved, and the problem that the occurrence of the hypotension cannot be predicted in advance during hemodialysis treatment is solved.
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Citation Information

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