647 related articles for article (PubMed ID: 34992804)
21. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
[TBL] [Abstract][Full Text] [Related]
22. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai BL; Wu ZY; Weng SJ; Yang Q
Cancer Med; 2023 Feb; 12(4):5025-5034. PubMed ID: 36082478
[TBL] [Abstract][Full Text] [Related]
23. Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
Yun K; He T; Zhen S; Quan M; Yang X; Man D; Zhang S; Wang W; Han X
J Transl Med; 2023 May; 21(1):353. PubMed ID: 37246225
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.
Yu M; Yuan Z; Li R; Shi B; Wan D; Dong X
Front Oncol; 2024; 14():1337219. PubMed ID: 38380369
[TBL] [Abstract][Full Text] [Related]
26. Identification of risk factors for infection after mitral valve surgery through machine learning approaches.
Zhang N; Fan K; Ji H; Ma X; Wu J; Huang Y; Wang X; Gui R; Chen B; Zhang H; Zhang Z; Zhang X; Gong Z; Wang Y
Front Cardiovasc Med; 2023; 10():1050698. PubMed ID: 37383697
[TBL] [Abstract][Full Text] [Related]
27. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
Liu Q; Pang B; Li H; Zhang B; Liu Y; Lai L; Le W; Li J; Xia T; Zhang X; Ou C; Ma J; Li S; Guo X; Zhang S; Zhang Q; Jiang M; Zeng Q
J Thorac Dis; 2021 Feb; 13(2):1215-1229. PubMed ID: 33717594
[TBL] [Abstract][Full Text] [Related]
28. Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods.
Farzipour A; Elmi R; Nasiri H
Diagnostics (Basel); 2023 Jul; 13(14):. PubMed ID: 37510135
[TBL] [Abstract][Full Text] [Related]
29. Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.
Li W; Hong T; Fang J; Liu W; Liu Y; He C; Li X; Xu C; Wang B; Chen Y; Sun C; Li W; Kang W; Yin C
Front Oncol; 2022; 12():968784. PubMed ID: 36568189
[TBL] [Abstract][Full Text] [Related]
30. Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan.
Pai KC; Su SA; Chan MC; Wu CL; Chao WC
BMC Anesthesiol; 2022 Nov; 22(1):351. PubMed ID: 36376785
[TBL] [Abstract][Full Text] [Related]
31. Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
Hassanzadeh R; Farhadian M; Rafieemehr H
BMC Med Res Methodol; 2023 Apr; 23(1):101. PubMed ID: 37087425
[TBL] [Abstract][Full Text] [Related]
32. Development of interpretable machine learning models to predict in-hospital prognosis of acute heart failure patients.
Tanaka M; Kohjitani H; Yamamoto E; Morimoto T; Kato T; Yaku H; Inuzuka Y; Tamaki Y; Ozasa N; Seko Y; Shiba M; Yoshikawa Y; Yamashita Y; Kitai T; Taniguchi R; Iguchi M; Nagao K; Kawai T; Komasa A; Kawase Y; Morinaga T; Toyofuku M; Furukawa Y; Ando K; Kadota K; Sato Y; Kuwahara K; Okuno Y; Kimura T; Ono K;
ESC Heart Fail; 2024 May; ():. PubMed ID: 38751135
[TBL] [Abstract][Full Text] [Related]
33. A screened predictive model for esophageal squamous cell carcinoma based on salivary flora data.
Meng Y; Duan Q; Jiao K; Xue J
Math Biosci Eng; 2023 Sep; 20(10):18368-18385. PubMed ID: 38052562
[TBL] [Abstract][Full Text] [Related]
34. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
[TBL] [Abstract][Full Text] [Related]
35. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
Lin C; Liang Z; Liu J; Sun W
Front Surg; 2023; 10():1160085. PubMed ID: 37351328
[TBL] [Abstract][Full Text] [Related]
36. Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.
Huang T; Le D; Yuan L; Xu S; Peng X
PLoS One; 2023; 18(1):e0280606. PubMed ID: 36701342
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Prediction Models for AKI in ICU: A Comparative Study.
Qian Q; Wu J; Wang J; Sun H; Yang L
Int J Gen Med; 2021; 14():623-632. PubMed ID: 33664585
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
