| 机器学习在癫痫疾病诊疗中的应用 |
| 修订日期：2023-04-21 点此下载全文 |
| 引用本文：杨德波,牛彩琅,李鹏宏,等.机器学习在癫痫疾病诊疗中的应用[J].医学信息学杂志,2023,44(11):46-51, 83 |
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| 基金项目:中国抗癫痫协会科研基金 (项目编号:CU-A-2021-26)；山西省自然科学研究基金 (项目编号:20210302123486)。 |
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| 中文摘要:目的/意义 对机器学习在癫痫发作预测、诊断预测、发作检测、抗癫痫药物的疗效预测、癫痫手术预测等方面的近期应用情况进行总结分析。方法/过程 通过PubMed检索文献,总结各机器学习模型的性能及优缺点,以及机器学习技术面临的挑战。结果/结论 机器学习对癫痫疾病的诊疗具有重要作用,可为临床医生的诊疗工作提供参考。 |
| 中文关键词:机器学习 癫痫发作预测 癫痫诊断预测 癫痫发作检测 癫痫手术预测 |
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| Application of Machine Learning in the Diagnosis and Treatment of Epilepsy |
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| Abstract:Purpose/Significance The recent applications of machine learning in epilepsy seizure prediction, diagnosis prediction, seizure detection, efficacy prediction of antiepileptic drugs, and epilepsy surgery prediction are summarized and analyzed. Method/Processs Literatures are searched through PubMed to summarize the performance of each machine learning model and the challenges existing in machine learning technology. Result/Conclusion Machine learning plays an important role in the diagnosis and treatment of epilepsy, and can provide reference for clinical doctors’ diagnosis and treatment work. |
| keywords:machine learning epilepsy seizure prediction epilepsy diagnosis prediction epilepsy seizure detection epilepsy surgery prediction |
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