261 related articles for article (PubMed ID: 34238015)
1. CRP (C-Reactive Protein) in Outcome Prediction After Subarachnoid Hemorrhage and the Role of Machine Learning.
Gaastra B; Barron P; Newitt L; Chhugani S; Turner C; Kirkpatrick P; MacArthur B; Galea I; Bulters D
Stroke; 2021 Oct; 52(10):3276-3285. PubMed ID: 34238015
[TBL] [Abstract][Full Text] [Related]
2. External Validation of a Neural Network Model in Aneurysmal Subarachnoid Hemorrhage: A Comparison With Conventional Logistic Regression Models.
Feghali J; Sattari SA; Wicks EE; Gami A; Rapaport S; Azad TD; Yang W; Xu R; Tamargo RJ; Huang J
Neurosurgery; 2022 May; 90(5):552-561. PubMed ID: 35113076
[TBL] [Abstract][Full Text] [Related]
3. Assessment of the Subarachnoid Hemorrhage International Trialists (SAHIT) Models for Dichotomized Long-Term Functional Outcome Prediction After Aneurysmal Subarachnoid Hemorrhage in a United Kingdom Multicenter Cohort Study.
Hostettler IC; Pavlou M; Ambler G; Alg VS; Bonner S; Walsh DC; Bulters D; Kitchen N; Brown MM; Grieve J; Houlden H; Werring DJ
Neurosurgery; 2020 Nov; 87(6):1269-1276. PubMed ID: 32710767
[TBL] [Abstract][Full Text] [Related]
4. Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.
Maldaner N; Zeitlberger AM; Sosnova M; Goldberg J; Fung C; Bervini D; May A; Bijlenga P; Schaller K; Roethlisberger M; Rychen J; Zumofen DW; D'Alonzo D; Marbacher S; Fandino J; Daniel RT; Burkhardt JK; Chiappini A; Robert T; Schatlo B; Schmid J; Maduri R; Staartjes VE; Seule MA; Weyerbrock A; Serra C; Stienen MN; Bozinov O; Regli L
Neurosurgery; 2021 Jan; 88(2):E150-E157. PubMed ID: 33017031
[TBL] [Abstract][Full Text] [Related]
5. Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage.
Shu L; Yan H; Wu Y; Yan T; Yang L; Zhang S; Chen Z; Liao Q; Yang L; Xiao B; Ye M; Lv S; Wu M; Zhu X; Hu P
Aging (Albany NY); 2024 Mar; 16(5):4654-4669. PubMed ID: 38431285
[TBL] [Abstract][Full Text] [Related]
6. Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.
Liu J; Xiong Y; Zhong M; Yang Y; Guo X; Tan X; Zhao B
Neurosurgery; 2020 Sep; 87(3):523-529. PubMed ID: 32171016
[TBL] [Abstract][Full Text] [Related]
7. Machine Learning Using Presentation CT Perfusion Imaging for Predicting Clinical Outcomes in Patients With Aneurysmal Subarachnoid Hemorrhage.
Yin P; Wang J; Zhang C; Yuan J; Ye M; Zhou Y
AJR Am J Roentgenol; 2023 Dec; 221(6):817-835. PubMed ID: 37466187
[No Abstract] [Full Text] [Related]
8. Serum and cerebrospinal fluid C-reactive protein levels as predictors of vasospasm in aneurysmal subarachnoid hemorrhage. Clinical article.
Fountas KN; Tasiou A; Kapsalaki EZ; Paterakis KN; Grigorian AA; Lee GP; Robinson JS
Neurosurg Focus; 2009 May; 26(5):E22. PubMed ID: 19409001
[TBL] [Abstract][Full Text] [Related]
9. Neutrophil-to-lymphocyte ratio as an independent predictor for unfavorable functional outcome in aneurysmal subarachnoid hemorrhage.
Giede-Jeppe A; Reichl J; Sprügel MI; Lücking H; Hoelter P; Eyüpoglu IY; Kuramatsu JB; Huttner HB; Gerner ST
J Neurosurg; 2019 Feb; 132(2):400-407. PubMed ID: 30717052
[TBL] [Abstract][Full Text] [Related]
10. Improving the models for prognosis of aneurysmal subarachnoid hemorrhage with the neutrophil-to-albumin ratio.
Zhang R; Liu Z; Zhang Y; Pei Y; He Y; Yu J; You C; Ma L; Fang F
Front Neurol; 2023; 14():1078926. PubMed ID: 37034067
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study.
Jaja BNR; Saposnik G; Lingsma HF; Macdonald E; Thorpe KE; Mamdani M; Steyerberg EW; Molyneux A; Manoel ALO; Schatlo B; Hanggi D; Hasan D; Wong GKC; Etminan N; Fukuda H; Torner J; Schaller KL; Suarez JI; Stienen MN; Vergouwen MDI; Rinkel GJE; Spears J; Cusimano MD; Todd M; Le Roux P; Kirkpatrick P; Pickard J; van den Bergh WM; Murray G; Johnston SC; Yamagata S; Mayer S; Schweizer TA; Macdonald RL;
BMJ; 2018 Jan; 360():j5745. PubMed ID: 29348138
[TBL] [Abstract][Full Text] [Related]
12. Preoperative and postoperative predictors of long-term outcome after endovascular treatment of poor-grade aneurysmal subarachnoid hemorrhage.
Zhao B; Yang H; Zheng K; Li Z; Xiong Y; Tan X; Zhong M;
J Neurosurg; 2017 Jun; 126(6):1764-1771. PubMed ID: 27367238
[TBL] [Abstract][Full Text] [Related]
13. Reduction of inflammation after administration of interleukin-1 receptor antagonist following aneurysmal subarachnoid hemorrhage: results of the Subcutaneous Interleukin-1Ra in SAH (SCIL-SAH) study.
Galea J; Ogungbenro K; Hulme S; Patel H; Scarth S; Hoadley M; Illingworth K; McMahon CJ; Tzerakis N; King AT; Vail A; Hopkins SJ; Rothwell N; Tyrrell P
J Neurosurg; 2018 Feb; 128(2):515-523. PubMed ID: 28298024
[TBL] [Abstract][Full Text] [Related]
14. Comparison of Prognostic Models for Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.
Wang H; Bothe TL; Deng C; Lv S; Khedkar PH; Kovacs R; Patzak A; Wu L
World Neurosurg; 2023 Dec; 180():e686-e699. PubMed ID: 37821029
[TBL] [Abstract][Full Text] [Related]
15. Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores.
Dengler NF; Madai VI; Unteroberdörster M; Zihni E; Brune SC; Hilbert A; Livne M; Wolf S; Vajkoczy P; Frey D
Neurosurg Rev; 2021 Oct; 44(5):2837-2846. PubMed ID: 33474607
[TBL] [Abstract][Full Text] [Related]
16. Predicting the Outcome of Patients with Aneurysmal Subarachnoid Hemorrhage: A Machine-Learning-Guided Scorecard.
Zhang Y; Zeng H; Zhou H; Li J; Wang T; Guo Y; Cai L; Hu J; Zhang X; Chen G
J Clin Med; 2023 Nov; 12(22):. PubMed ID: 38002653
[TBL] [Abstract][Full Text] [Related]
17. Accurately predicting the risk of unfavorable outcomes after endovascular coil therapy in patients with aneurysmal subarachnoid hemorrhage: an interpretable machine learning model.
Zhou Z; Dai A; Yan Y; Jin Y; Zou D; Xu X; Xiang L; Guo L; Xiang L; Jiang F; Zhao Z; Zou J
Neurol Sci; 2024 Feb; 45(2):679-691. PubMed ID: 37624541
[TBL] [Abstract][Full Text] [Related]
18. Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission.
Rubbert C; Patil KR; Beseoglu K; Mathys C; May R; Kaschner MG; Sigl B; Teichert NA; Boos J; Turowski B; Caspers J
Eur Radiol; 2018 Dec; 28(12):4949-4958. PubMed ID: 29948072
[TBL] [Abstract][Full Text] [Related]
19. Predictive nomogram models for unfavorable prognosis after aneurysmal subarachnoid hemorrhage: Analysis from a prospective, observational cohort in China.
Li S; Zhang J; Li N; Wang D; Zhao X
CNS Neurosci Ther; 2023 Nov; 29(11):3567-3578. PubMed ID: 37287438
[TBL] [Abstract][Full Text] [Related]
20. Serum C-reactive protein value on day 14 as a possible prognostic factor of aneurysmal subarachnoid hemorrhage.
Ohgaki F; Tatezuki J; Takemoto Y; Miyazaki K; Mochimatsu Y
J Int Med Res; 2024 May; 52(5):3000605241253755. PubMed ID: 38796856
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]