Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique

scientific article published on 29 October 2020

Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.3389/FNEUR.2020.538052
P932PMC publication ID7658443
P698PubMed publication ID33192969

P2093author name stringJie Chen
Li Lan
Bing Zhao
Chao Chen
Xiaoyu Chen
Yunjun Yang
Yuxia Duan
Nengzhi Xia
Yongchun Chen
Jinjin Liu
Xiufen Jia
Chenyi Zhan
Yilan Xiang
Boli Lin
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usesscikit-learnQ1026367
scikit-imageQ22442795
P921main subjectrandom forestQ245748
P304page(s)538052
P577publication date2020-10-29
P1433published inFrontiers in NeurologyQ15817039
P1476titlePrediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique
P478volume11

Search more.