Evaluation metrics of the models constructed by each algorithm.

Evaluation metrics of the models constructed by each algorithm.

<p>Evaluation metrics of the models constructed by each algorithm.</p>

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Bibliographic Details
Main Author:	Xiaoyan Yang (259084) (author)
Other Authors:	Wenqiang Li (483433) (author), Qin Xiao (487551) (author), Shiyun Du (6242342) (author), Xi Wang (15032) (author), Ying Zhang (40767) (author), Sulian Li (22662396) (author)
Published:	2025
Subjects:	Medicine Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified machine learning algorithms digital health tools automatically flag high analyzing feature importance optimal predictive performance important predictive factors data collection occurring whether constipation occurred auc ), accuracy clinical information system namely logistic regression key risk factors identified using shap model predictive performance construct predictive models logistic regression predictive model clinical data svm ), postoperative constipation knn ), constipation risk clinical utility clinical prevention xlink "> study conducted retrospective analysis provide decision outcome variable nutritional risk nearest neighbors model developed model demonstrated may 2024 making support january 2020 hospital stay game theory femoral fracture elderly patients december 2024 chronic gastritis based approach
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