191 related articles for article (PubMed ID: 38075055)
1. A clinical prediction model based on interpretable machine learning algorithms for prolonged hospital stay in acute ischemic stroke patients: a real-world study.
Wang K; Jiang Q; Gao M; Wei X; Xu C; Yin C; Liu H; Gu R; Wang H; Li W; Rong L
Front Endocrinol (Lausanne); 2023; 14():1165178. PubMed ID: 38075055
[TBL] [Abstract][Full Text] [Related]
2. A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm.
Chen R; Zhang S; Li J; Guo D; Zhang W; Wang X; Tian D; Qu Z; Wang X
BMC Med Inform Decis Mak; 2023 Mar; 23(1):49. PubMed ID: 36949434
[TBL] [Abstract][Full Text] [Related]
3. An interpretable machine learning model for stroke recurrence in patients with symptomatic intracranial atherosclerotic arterial stenosis.
Gao Y; Li ZA; Zhai XY; Han L; Zhang P; Cheng SJ; Yue JY; Cui HK
Front Neurosci; 2023; 17():1323270. PubMed ID: 38260008
[TBL] [Abstract][Full Text] [Related]
4. Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models.
Huang J; Jin W; Duan X; Liu X; Shu T; Fu L; Deng J; Chen H; Liu G; Jiang Y; Liu Z
Front Public Health; 2022; 10():1086339. PubMed ID: 36711330
[TBL] [Abstract][Full Text] [Related]
5. Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?
Chen TL; Buddhiraju A; Seo HH; Shimizu MR; Bacevich BM; Kwon YM
Arch Orthop Trauma Surg; 2023 Dec; 143(12):7185-7193. PubMed ID: 37592158
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a machine learning-based prognostic risk stratification model for acute ischemic stroke.
Wang K; Hong T; Liu W; Xu C; Yin C; Liu H; Wei X; Wu SN; Li W; Rong L
Sci Rep; 2023 Aug; 13(1):13782. PubMed ID: 37612344
[TBL] [Abstract][Full Text] [Related]
7. Prediction of subjective cognitive decline after corpus callosum infarction by an interpretable machine learning-derived early warning strategy.
Xu Y; Sun X; Liu Y; Huang Y; Liang M; Sun R; Yin G; Song C; Ding Q; Du B; Bi X
Front Neurol; 2023; 14():1123607. PubMed ID: 37416313
[TBL] [Abstract][Full Text] [Related]
8. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
Huang J; Chen H; Deng J; Liu X; Shu T; Yin C; Duan M; Fu L; Wang K; Zeng S
Front Neurol; 2023; 14():1185447. PubMed ID: 37614971
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis.
Zeleke AJ; Palumbo P; Tubertini P; Miglio R; Chiari L
Front Artif Intell; 2023; 6():1179226. PubMed ID: 37588696
[TBL] [Abstract][Full Text] [Related]
10. Use of Machine Learning Algorithms to Predict the Outcomes of Mechanical Thrombectomy in Acute Ischemic Stroke Patients With an Extended Therapeutic Time Window.
Lu S; Zhang J; Wu R; Cao Y; Xu X; Li G; Liu S; Shi H; Wu F
J Comput Assist Tomogr; 2022 Sep-Oct 01; 46(5):775-780. PubMed ID: 35675699
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients.
Wang K; Yan LZ; Li WZ; Jiang C; Wang NN; Zheng Q; Dong NG; Shi JW
Front Cardiovasc Med; 2022; 9():863642. PubMed ID: 35800164
[TBL] [Abstract][Full Text] [Related]
12. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
Tong Y; Niu X; Liu F
Heart Surg Forum; 2023 Oct; 26(5):E537-E551. PubMed ID: 37920093
[TBL] [Abstract][Full Text] [Related]
13. Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty.
Chen TL; Buddhiraju A; Costales TG; Subih MA; Seo HH; Kwon YM
J Arthroplasty; 2023 Oct; 38(10):1967-1972. PubMed ID: 37315634
[TBL] [Abstract][Full Text] [Related]
14. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
[TBL] [Abstract][Full Text] [Related]
15. Machine Learning-Based Clinical Prediction Models for Acute Ischemic Stroke Based on Serum Xanthine Oxidase Levels.
Chen X; Zeng Q; Tao L; Yuan J; Hang J; Lu G; Shao J; Li Y; Yu H
World Neurosurg; 2024 Apr; 184():e695-e707. PubMed ID: 38340801
[TBL] [Abstract][Full Text] [Related]
16. Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study.
Yang T; Hu Y; Pan X; Lou S; Zou J; Deng Q; Zhang Q; Zhou J; Zhu J
Brain Sci; 2023 Mar; 13(4):. PubMed ID: 37190522
[TBL] [Abstract][Full Text] [Related]
17. The predictors of death within 1 year in acute ischemic stroke patients based on machine learning.
Wang K; Gu L; Liu W; Xu C; Yin C; Liu H; Rong L; Li W; Wei X
Front Neurol; 2023; 14():1092534. PubMed ID: 36908612
[TBL] [Abstract][Full Text] [Related]
18. Prognostic estimation for acute ischemic stroke patients undergoing mechanical thrombectomy within an extended therapeutic window using an interpretable machine learning model.
Tong L; Sun Y; Zhu Y; Luo H; Wan W; Wu Y
Front Neuroinform; 2023; 17():1273827. PubMed ID: 37901289
[TBL] [Abstract][Full Text] [Related]
19. Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study.
Liu XZ; Duan M; Huang HD; Zhang Y; Xiang TY; Niu WC; Zhou B; Wang HL; Zhang TT
Front Endocrinol (Lausanne); 2023; 14():1184190. PubMed ID: 37469989
[TBL] [Abstract][Full Text] [Related]
20. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
