Jie Ji
Sichuan University
4 Papers
Jie Ji is an academic researcher from Sichuan University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Deep brain stimulation of the globus pallidus internal improves symptoms of chorea-acanthocytosis
Peng Li,Rui Huang,Wei Song,Jie Ji,Jean-Marc Burgunder,Jean-Marc Burgunder,Wang Xing,Qi Zhong,Alain Kaelin-Lang,Wei Wang,Huifang Shang +10 more
TL;DR: Bilateral DBS to the GPi can improve chorea and dystonia in some patients with intractable chorea-acanthocytosis, however, selection criteria for the most promising candidates must be defined, and the long-term benefits evaluated in clinical studies.
34
SymMap database and TMNP algorithm reveal Huanggui Tongqiao granules for Allergic rhinitis through IFN-mediated neuroimmuno-modulation.
Yaru Kong,Mengyao Hao,Aiping Chen,Tianxing Yi,Ke Yang,Peng Li,Yi Wang,Pengfei Li,Xinbei Jia,Han Qin,Yuwei Qi,Jie Ji,Jing Jin,Qian Hua,Jun Tai +14 more
TL;DR: Huanggui Tongqiao Granules (HTG) is a Chinese formula consisting of twelve herbs and has long been prescribed for patients with allergic rhinitis (AR) as discussed by the authors .
11
Pediatric obstructive sleep apnea diagnosis: leveraging machine learning with linear discriminant analysis
Han Qin,Liping Zhang,Xiaodan Li,Zhifei Xu,Jie Zhang,Sheng Cai Wang,Li Zheng,Tingting Ji,Lin Mei,Yaru Kong,Xinbei Jia,Yi Lei,Yuwei Qi,Jie Ji,Xin Ni,Qing Wang,Jun Tai +16 more
TL;DR: This study shows that a machine learning model based on children's clinical features effectively identifies OSA in children, providing a feasible clinical alternative to PSG for stratifying OSA severity.
3
Diagnosis of obstructive sleep apnea in children based on the XGBoost algorithm using nocturnal heart rate and blood oxygen feature.
Pengfei Ye,H Qin,Xiaojun Zhan,Zhang Wang,Chang Liu,Beibei Song,Yaru Kong,Xinbei Jia,Yuwei Qi,Jie Ji,Li Chang,Xin Ni,Jun Tai +12 more
TL;DR: In this article , a machine learning method was used to identify children with obstructive sleep disordered breathing (OSA) of varying severity using data on children's nighttime heart rate and blood oxygen data.