427 related articles for article (PubMed ID: 37653785)
1. A systematic comparison of machine learning algorithms to develop and validate prediction model to predict heart failure risk in middle-aged and elderly patients with periodontitis (NHANES 2009 to 2014).
Wang Y; Xiao Y; Zhang Y
Medicine (Baltimore); 2023 Aug; 102(34):e34878. PubMed ID: 37653785
[TBL] [Abstract][Full Text] [Related]
2. Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
Wang Y; Ni B; Xiao Y; Lin Y; Jiang Y; Zhang Y
Front Cardiovasc Med; 2023; 10():1296405. PubMed ID: 38094122
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a prediction model based on machine learning algorithms for predicting the risk of heart failure in middle-aged and older US people with prediabetes or diabetes.
Wang Y; Hou R; Ni B; Jiang Y; Zhang Y
Clin Cardiol; 2023 Oct; 46(10):1234-1243. PubMed ID: 37519220
[TBL] [Abstract][Full Text] [Related]
4. Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning.
Zhang L; Zhou X; Cao J
PeerJ; 2024; 12():e16867. PubMed ID: 38313005
[TBL] [Abstract][Full Text] [Related]
5. Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
Liu Y; Shen W; Tian Z
Clin Interv Aging; 2023; 18():157-168. PubMed ID: 36789284
[TBL] [Abstract][Full Text] [Related]
6. A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer.
Ding L; Wang K; Zhang C; Zhang Y; Wang K; Li W; Wang J
Front Public Health; 2022; 10():916513. PubMed ID: 35844840
[TBL] [Abstract][Full Text] [Related]
7. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
8. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation.
Lu YT; Chao HJ; Chiang YC; Chen HY
J Med Internet Res; 2023 Feb; 25():e43734. PubMed ID: 36749620
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.
Wang Q; Li B; Chen K; Yu F; Su H; Hu K; Liu Z; Wu G; Yan J; Su G
ESC Heart Fail; 2021 Dec; 8(6):5363-5371. PubMed ID: 34585531
[TBL] [Abstract][Full Text] [Related]
10. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
11. Comparison Between Statistical Model and Machine Learning Methods for Predicting the Risk of Renal Function Decline Using Routine Clinical Data in Health Screening.
Cao X; Lin Y; Yang B; Li Y; Zhou J
Risk Manag Healthc Policy; 2022; 15():817-826. PubMed ID: 35502445
[TBL] [Abstract][Full Text] [Related]
12. A novel nomogram for predicting risk of hypertension in US adults with periodontitis: National Health and Nutrition Examination Survey (NHANES) 2009-2014.
Wang Y; Ni B; Xiao Y; Lin Y; Zhang Y
Medicine (Baltimore); 2023 Dec; 102(51):e36659. PubMed ID: 38134101
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Biological signatures and prediction of an immunosuppressive status-persistent critical illness-among orthopedic trauma patients using machine learning techniques.
Lei M; Han Z; Wang S; Guo C; Zhang X; Song Y; Lin F; Huang T
Front Immunol; 2022; 13():979877. PubMed ID: 36325351
[TBL] [Abstract][Full Text] [Related]
15. Machine Learning Approaches to Predict Chronic Lower Back Pain in People Aged over 50 Years.
Shim JG; Ryu KH; Cho EA; Ahn JH; Kim HK; Lee YJ; Lee SH
Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833448
[No Abstract] [Full Text] [Related]
16. Identification of High-Risk Patients for Postoperative Myocardial Injury After CME Using Machine Learning: A 10-Year Multicenter Retrospective Study.
Liu Y; Song C; Tian Z; Shen W
Int J Gen Med; 2023; 16():1251-1264. PubMed ID: 37057054
[TBL] [Abstract][Full Text] [Related]
17. Applying interpretable machine learning algorithms to predict risk factors for permanent stoma in patients after TME.
Liu Y; Zhao S; Du W; Tian Z; Chi H; Chao C; Shen W
Front Surg; 2023; 10():1125875. PubMed ID: 37035560
[TBL] [Abstract][Full Text] [Related]
18. Machine learning algorithms identify hypokalaemia risk in people with hypertension in the United States National Health and Nutrition Examination Survey 1999-2018.
Lin Z; Cheng YT; Cheung BMY
Ann Med; 2023 Dec; 55(1):2209336. PubMed ID: 37162442
[TBL] [Abstract][Full Text] [Related]
19. Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease.
Chu R; Chen W; Song G; Yao S; Xie L; Song L; Zhang Y; Chen L; Zhang X; Ma Y; Luo X; Liu Y; Sun P; Zhang S; Fang Y; Dong T; Zhang Q; Peng J; Zhang L; Wei Y; Zhang W; Su X; Qiao X; Song K; Yang X; Kong B
J Am Heart Assoc; 2020 Jul; 9(14):e016371. PubMed ID: 32662348
[TBL] [Abstract][Full Text] [Related]
20. Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery.
Ren W; Li D; Wang J; Zhang J; Fu Z; Yao Y
Comput Math Methods Med; 2022; 2022():8661324. PubMed ID: 35465016
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]