263 related articles for article (PubMed ID: 36949434)
1. 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]
2. 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]
3. Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.
Chen SD; You J; Yang XM; Gu HQ; Huang XY; Liu H; Feng JF; Jiang Y; Wang YJ
BMC Med Res Methodol; 2022 Jul; 22(1):195. PubMed ID: 35842606
[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. 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]
6. A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data.
Chang W; Liu Y; Xiao Y; Yuan X; Xu X; Zhang S; Zhou S
Diagnostics (Basel); 2019 Nov; 9(4):. PubMed ID: 31703364
[TBL] [Abstract][Full Text] [Related]
7. Optimization of Tree-Based Machine Learning Models to Predict the Length of Hospital Stay Using Genetic Algorithm.
Mansoori A; Zeinalnezhad M; Nazarimanesh L
J Healthc Eng; 2023; 2023():9673395. PubMed ID: 36824405
[TBL] [Abstract][Full Text] [Related]
8. Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery.
Saravi B; Zink A; Ülkümen S; Couillard-Despres S; Hassel F; Lang G
J Clin Med; 2022 Jul; 11(14):. PubMed ID: 35887814
[TBL] [Abstract][Full Text] [Related]
9. Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.
Daghistani TA; Elshawi R; Sakr S; Ahmed AM; Al-Thwayee A; Al-Mallah MH
Int J Cardiol; 2019 Aug; 288():140-147. PubMed ID: 30685103
[TBL] [Abstract][Full Text] [Related]
10. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA
J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274
[TBL] [Abstract][Full Text] [Related]
11. Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study.
Han Y; Wang S
Front Public Health; 2023; 11():1271595. PubMed ID: 38026309
[TBL] [Abstract][Full Text] [Related]
12. Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19.
Orooji A; Shanbehzadeh M; Mirbagheri E; Kazemi-Arpanahi H
BMC Infect Dis; 2022 Dec; 22(1):923. PubMed ID: 36494613
[TBL] [Abstract][Full Text] [Related]
13. Prediction of length of stay of first-ever ischemic stroke.
Chang KC; Tseng MC; Weng HH; Lin YH; Liou CW; Tan TY
Stroke; 2002 Nov; 33(11):2670-4. PubMed ID: 12411659
[TBL] [Abstract][Full Text] [Related]
14. A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients.
Barsasella D; Bah K; Mishra P; Uddin M; Dhar E; Suryani DL; Setiadi D; Masturoh I; Sugiarti I; Jonnagaddala J; Syed-Abdul S
Medicina (Kaunas); 2022 Oct; 58(11):. PubMed ID: 36363525
[No Abstract] [Full Text] [Related]
15. 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]
16. Development of machine learning models for predicting outcome in patients with distal medium vessel occlusions: a retrospective study.
Ozkara BB; Karabacak M; Kotha A; Cristiano BC; Wintermark M; Yedavalli VS
Quant Imaging Med Surg; 2023 Sep; 13(9):5815-5830. PubMed ID: 37711830
[TBL] [Abstract][Full Text] [Related]
17. Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study.
Lim H; Park Y; Hong JH; Yoo KB; Seo KD
Eur J Med Res; 2024 Jan; 29(1):6. PubMed ID: 38173022
[TBL] [Abstract][Full Text] [Related]
18. Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks.
Yang CC; Bamodu OA; Chan L; Chen JH; Hong CT; Huang YT; Chung CC
Front Neurol; 2023; 14():1085178. PubMed ID: 36846116
[TBL] [Abstract][Full Text] [Related]
19. Machine learning is a valid method for predicting prehospital delay after acute ischemic stroke.
Yang L; Liu Q; Zhao Q; Zhu X; Wang L
Brain Behav; 2020 Oct; 10(10):e01794. PubMed ID: 32812396
[TBL] [Abstract][Full Text] [Related]
20. Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database.
Huang Y; Talwar A; Lin Y; Aparasu RR
BMC Med Inform Decis Mak; 2022 Nov; 22(1):288. PubMed ID: 36352392
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]