525 related articles for article (PubMed ID: 36789284)
1. 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]
2. 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]
3. 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]
4. Identification of high-risk factors for recurrence of colon cancer following complete mesocolic excision: An 8-year retrospective study.
Liu Y; Du W; Guo Y; Tian Z; Shen W
PLoS One; 2023; 18(8):e0289621. PubMed ID: 37566586
[TBL] [Abstract][Full Text] [Related]
5. Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.
Liu Y; Song C; Tian Z; Shen W
Int J Gen Med; 2023; 16():1909-1925. PubMed ID: 37228741
[TBL] [Abstract][Full Text] [Related]
6. Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis.
Zhu Y; Liu Y; Wang Q; Niu S; Wang L; Cheng C; Chen X; Liu J; Zhao S
J Cancer Res Clin Oncol; 2023 Dec; 149(19):17479-17493. PubMed ID: 37897658
[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. Automated machine learning-based model for the prediction of delirium in patients after surgery for degenerative spinal disease.
Zhang Y; Wan DH; Chen M; Li YL; Ying H; Yao GL; Liu ZL; Zhang GM
CNS Neurosci Ther; 2023 Jan; 29(1):282-295. PubMed ID: 36258311
[TBL] [Abstract][Full Text] [Related]
9. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
Chen X; Pan J; Li Y; Tang R
Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
[TBL] [Abstract][Full Text] [Related]
10. Postoperative delirium prediction using machine learning models and preoperative electronic health record data.
Bishara A; Chiu C; Whitlock EL; Douglas VC; Lee S; Butte AJ; Leung JM; Donovan AL
BMC Anesthesiol; 2022 Jan; 22(1):8. PubMed ID: 34979919
[TBL] [Abstract][Full Text] [Related]
11. Postoperative delirium prediction after cardiac surgery using machine learning models.
Yang T; Yang H; Liu Y; Liu X; Ding YJ; Li R; Mao AQ; Huang Y; Li XL; Zhang Y; Yu FX
Comput Biol Med; 2024 Feb; 169():107818. PubMed ID: 38134752
[TBL] [Abstract][Full Text] [Related]
12. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma.
Dong B; Zhang H; Duan Y; Yao S; Chen Y; Zhang C
J Transl Med; 2024 May; 22(1):455. PubMed ID: 38741163
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Online interpretable dynamic prediction models for postoperative delirium after cardiac surgery under cardiopulmonary bypass developed based on machine learning algorithms: A retrospective cohort study.
Zhao X; Li J; Xie X; Fang Z; Feng Y; Zhong Y; Chen C; Huang K; Ge C; Shi H; Si Y; Zou J
J Psychosom Res; 2024 Jan; 176():111553. PubMed ID: 37995429
[TBL] [Abstract][Full Text] [Related]
17. Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations.
Song Y; Zhang D; Wang Q; Liu Y; Chen K; Sun J; Shi L; Li B; Yang X; Mi W; Cao J
Transl Psychiatry; 2024 Jan; 14(1):57. PubMed ID: 38267405
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study.
Luo XQ; Kang YX; Duan SB; Yan P; Song GB; Zhang NY; Yang SK; Li JX; Zhang H
J Med Internet Res; 2023 Jan; 25():e41142. PubMed ID: 36603200
[TBL] [Abstract][Full Text] [Related]
19. Interpretable machine learning model for early prediction of delirium in elderly patients following intensive care unit admission: a derivation and validation study.
Tang D; Ma C; Xu Y
Front Med (Lausanne); 2024; 11():1399848. PubMed ID: 38828233
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
