AIMC Topic: Peptic Ulcer Hemorrhage

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Artificial intelligence-assisted assessment for Forrest classification of peptic ulcer bleeding: hype or reality?

Endoscopy Mar 13, 2024
Humans Artificial Intelligence Peptic Ulcer Hemorrhage
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A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The prediction of patient mortality, which can detect high-risk patients, is a significant yet challenging problem in medical informatics. Thanks to the wide adoption of electronic health records (EHRs), many data-driven methods have been proposed to...
Humans Neural Networks, Computer Algorithms Electronic Health Records Risk Assessment ROC Curve Area Under Curve Peptic Ulcer Hemorrhage
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A fusion model of manually extracted visual features and deep learning features for rebleeding risk stratification in peptic ulcers.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2025
OBJECTIVES: We propose a multi-feature fusion model based on manually extracted features and deep learning features from endoscopic images for grading rebleeding risk of peptic ulcers.
Humans Risk Assessment Deep Learning Peptic Ulcer Recurrence Peptic Ulcer Hemorrhage
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Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Accurate risk prediction is important for evaluating early medical treatment effects and improving health care quality. Existing methods are usually designed for dynamic medical data, which require long-term observations. Meanwhile, import...
Humans Neural Networks, Computer Precision Medicine Prognosis Risk Assessment Deep Learning Models, Theoretical Data Mining Datasets as Topic Peptic Ulcer Hemorrhage
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