Apr 5, 2024 · The results show that the syndrome prediction model can assist experts in studying and understanding ancient medical records, make tacit ...
Based on the dysmenorrhea medical record using the naive Bayesian algorithm to establish the syndrome-type prediction model, its diagnostic accuracy is 73.77%.
This paper is devoted to a module of negation detection. The corpus-free machine learning method is based on gradient boosting classifier is used to detect ...
Chunyan Wang's 3 research works with 0 citations, including: Text Mining Research of Ancient Medical Records of Dysmenorrhea Based on Syndrome Prediction ...
In this study, we conduct the first genome-wide association study to identify genetic factors associated with dysmenorrhea pain severity.
Dec 1, 2023 · This study endeavors to evaluate the prognosis of patients with dysmenorrhea based on the retrospective application of our prediction model ...
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Oct 27, 2023 · Dysmenorrhea, defined as painful cramps that occur with menstruation, is the most common gynecologic problem for women of all ages and races and ...
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This study examined the association between catastrophizing specific to dysmenorrhea and both dysmenorrhea and chronic pelvic pain (CPP)-associated pain ...
In the present study, regression analysis was used to develop two endometriosis risk indices. The predictors absenteeism from school due to dysmenorrhea and ...
Primary dysmenorrhea, or painful menstruation in the absence of pelvic pathology, is a common, and often debilitating, gynecological condition.