A method and system for predicting the timing of intestinal surgery under high altitude maladaptation

By selecting indicators of inflammation, tissue repair, and oxidative stress, and combining them with a baseline trend function and individual scaling, a dynamic correction mechanism was developed to solve the problem of predicting the timing of intestinal surgery under high-altitude decomposition conditions, achieving highly accurate and standardized judgment of surgical timing.

CN121354959BActive Publication Date: 2026-06-09CHENGDU MILITARY GENERAL HOSPITAL OF PLA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU MILITARY GENERAL HOSPITAL OF PLA
Filing Date
2025-10-30
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies cannot effectively predict the optimal timing for intestinal surgery when the patient is no longer suitable for high-altitude conditions, and artificial intelligence models are difficult to start up when data is scarce, consume a lot of computing power, and have complex parameter settings that are difficult to popularize.

Method used

Inflammatory markers (TNF-α, IL-17, CRP), tissue repair markers (fibroblasts, macrophages), and oxidative stress markers (MDA) were used as predictive indicators. By fitting a baseline trend function and individual scaling, combined with a dynamic correction mechanism, the surgical timing score was quantified to pinpoint the optimal surgical window.

Benefits of technology

It improves the targeting and accuracy of surgical timing prediction, reduces differences in physician experience, enhances the standardization and consistency of surgical timing judgment, and avoids deviations caused by static prediction.

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Abstract

The application discloses a highland deacclimatization disease lower intestinal tract operation opportunity prediction method and system, and belongs to the technical field of highland deacclimatization diseases. The method comprises the following steps: determining prediction indexes, wherein the prediction indexes comprise inflammation indexes, tissue repair indexes and oxidative stress indexes; fitting a prediction index-time basic trend function of each prediction index; acquiring an initial prediction index value of each prediction index of a patient and a highland deacclimatization time; predicting a prediction index of each day in the future based on the initial prediction index value and the highland deacclimatization time, so as to acquire a prediction index estimated value; performing operation window period prediction by using the prediction index estimated value; continuously acquiring a prediction index measurement value of the patient, and correcting the operation window period based on the prediction index measurement value of the patient until finally locking the operation window period. The application predicts the index value by constructing a function, scores future days by using the index value, and regards a day with the highest score as the operation window period, so that the best operation opportunity is predicted.
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Citation Information

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