Predicting Cerebral Aneurysm Rupture by Gradient Boosting Decision Tree using Clinical, Hemodynamic, and Morphological Information - Citegraph

Paper Info

Title
Predicting Cerebral Aneurysm Rupture by Gradient Boosting Decision Tree using Clinical, Hemodynamic, and Morphological Information

Year	DOI	Venue
2020	10.29007/jjwt	CATA
DocType	Volume	Citations
Conference	69	0
PageRank	References	Authors
0.34	0	10

Authors (10 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Toshiyuki Haruhara	1	0	0.34
Hideto Ohgi	2	0	0.34
Masaaki Suzuki	3	0	0.34
Hiroyuki Takao	4	4	4.88
Takashi Suzuki	5	0	0.34
Soichiro Fujimura	6	0	0.34
Toshihiro Ishibashi	7	1	3.11
makoto yamamoto	8	0	3.04
Y. Murayama	9	2	4.89
Hayato Ohwada	10	104	36.28

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