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Dianxianning 1

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epilepsy seizure 1

evaluation 1

fluorodeoxyglucose-positron emission tomography 1

gelastic seizure 1

hypothalamic hamartoma 1

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F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 913-921 doi: 10.1007/s11684-021-0874-1

Abstract: Epileptogenic hypothalamic hamartoma is characterized by intractable gelastic seizures.The correlations among tomography result, seizure type, sex, and structural magnetic resonance imagingThe characteristics of glucose hypometabolism differed across seizure type and sex.cerebral cortex, subcortical regions, and cerebellar regions, may be involved in a pathway related to seizurepropagation, particularly gelastic seizures, in patients with HH.

Keywords： hypothalamic hamartoma     gelastic seizure     fluorodeoxyglucose-positron emission tomography     voxel-based    

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Reevaluation of the effect of Dianxianning on seizure rate of refractory epilepsy as additive treatment

Liyun He, Tiancai Wen, Shiyan Yan, Runjin Li, Zufa Liu, Hui Ren, Jinmin Liu, Fengshan Zhang, Jianzhong Wu, Jian Liu

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 229-234 doi: 10.1007/s11684-011-0139-5

Abstract: Dianxianning, which was used as additive treatment to treat 206 epilepsy patients, on the epilepsy seizureBased on a multicenter, prospective, randomized, and controlled clinical trial design, we used the seizureThe results showed that 1) Effect on seizure rate: After a three-month treatment, the seizure rate ofcomparing the two groups, there was a significant difference between these groups ( <0.05). 2) Effect on seizureindicated that, as an additive treatment, Dianxianning has a good effect on controlling the epilepsy seizure

Keywords： Dianxianning     epilepsy seizure     evaluation    

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Artificial Intelligence in Healthcare: Review and Prediction Case Studies Review

Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan

Engineering 2020, Volume 6, Issue 3,   Pages 291-301 doi: 10.1016/j.eng.2019.08.015

Abstract: Two case studies are provided to illustrate the prediction of epileptic seizure occurrences and the filling

Keywords： Machine learning     Deep learning Neural network     Biomedical research     Healthcare applications     Epileptic seizure    

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Title Author Date Type Operation

F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma

Journal Article

Reevaluation of the effect of Dianxianning on seizure rate of refractory epilepsy as additive treatment

Liyun He, Tiancai Wen, Shiyan Yan, Runjin Li, Zufa Liu, Hui Ren, Jinmin Liu, Fengshan Zhang, Jianzhong Wu, Jian Liu

Journal Article

Artificial Intelligence in Healthcare: Review and Prediction Case Studies

Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan

Journal Article