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This trial aims to use machine learning to analyze fNIRS imaging data of specific brain regions of tinnitus patients, thereby constructing a predictive model of the clinical efficacy of acupuncture for SNT.
Full description
This study will recruit 500 subjects with tinnitus. Functional near-infrared spectroscopy (fNIRS) will be employed to examine specific brain regions, and the corresponding fNIRS imaging data from all detection channels will be extracted. Subsequently, the subjects will undergo a course of acupuncture treatment. Based on the recovery status of tinnitus at the conclusion of the acupuncture course, all subjects will be categorized into a "good prognosis group" and a "poor prognosis group" according to relevant efficacy criteria. The entire dataset will then be randomly divided into a training set (70%) and a test set (30%) following a 7:3 ratio.
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500 participants in 1 patient group
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Xiaohan Huang, M.M
Data sourced from clinicaltrials.gov
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