378 related articles for article (PubMed ID: 37035560)
1. 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]
2. 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]
3. 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]
4. 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]
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. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].
Xie Z; Jin J; Liu D; Lu S; Yu H; Han D; Sun W; Huang M
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):345-352. PubMed ID: 38813626
[TBL] [Abstract][Full Text] [Related]
8. Construction and validation of a progression prediction model for locally advanced rectal cancer patients received neoadjuvant chemoradiotherapy followed by total mesorectal excision based on machine learning.
Hu J; Sheng Y; Ma J; Tang Y; Liu D; Zhang J; Wei X; Yang Y; Liu Y; Zhang Y; Wang G
Front Oncol; 2023; 13():1231508. PubMed ID: 38328435
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. 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]
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. 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]
15. A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
Yu W; Lu Y; Shou H; Xu H; Shi L; Geng X; Song T
Cancer Med; 2023 Mar; 12(6):6867-6876. PubMed ID: 36479910
[TBL] [Abstract][Full Text] [Related]
16. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
17. Machine learning model-based risk prediction of severe complications after off-pump coronary artery bypass grafting.
Zhang Y; Li L; Li Y; Zeng Z
Adv Clin Exp Med; 2023 Feb; 32(2):185-194. PubMed ID: 36226692
[TBL] [Abstract][Full Text] [Related]
18. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
Ye Z; An S; Gao Y; Xie E; Zhao X; Guo Z; Li Y; Shen N; Ren J; Zheng J
Eur J Med Res; 2023 Jan; 28(1):33. PubMed ID: 36653875
[TBL] [Abstract][Full Text] [Related]
19. 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]
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]
