机器学习在脑胶质瘤病人中的应用进展

AbstractThispaperexpoundedtheaplicationofmachinelearinginpreoperativegradingofpatients withbrainglioma，molecular typingpredictionofpatientswithbraingloma，prognosisprediction，anddiferentiationbetweenhigh-gradebraingliomaandsolitary brain metastases，soas provide scientific guidance fortheclinical diagnosisand treatmenfpatients withrain glioma.

Keywordsbrain glioma; machine learning; clinical nursing; review

脑胶质瘤是中枢神经系统中最为常见的原发性脑肿瘤，其发病率高、治愈率低，病人的生存质量普遍较低。（剩余11607字）