278 related articles for article (PubMed ID: 34585531)
41. Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods.
Feng C; Kephart G; Juarez-Colunga E
BMC Med Res Methodol; 2021 Nov; 21(1):267. PubMed ID: 34837951
[TBL] [Abstract][Full Text] [Related]
42. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
[No Abstract] [Full Text] [Related]
43. Predicting Incident Heart Failure in Women With Machine Learning: The Women's Health Initiative Cohort.
Tison GH; Avram R; Nah G; Klein L; Howard BV; Allison MA; Casanova R; Blair RH; Breathett K; Foraker RE; Olgin JE; Parikh NI
Can J Cardiol; 2021 Nov; 37(11):1708-1714. PubMed ID: 34400272
[TBL] [Abstract][Full Text] [Related]
44. Machine learning models to predict in-hospital mortality in septic patients with diabetes.
Qi J; Lei J; Li N; Huang D; Liu H; Zhou K; Dai Z; Sun C
Front Endocrinol (Lausanne); 2022; 13():1034251. PubMed ID: 36465642
[TBL] [Abstract][Full Text] [Related]
45. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
[TBL] [Abstract][Full Text] [Related]
46. Machine learning for hospital readmission prediction in pediatric population.
Silva NCD; Albertini MK; Backes AR; Pena GDG
Comput Methods Programs Biomed; 2024 Feb; 244():107980. PubMed ID: 38134648
[TBL] [Abstract][Full Text] [Related]
47. Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods.
Zhang B; Huang S; Zhou C; Zhu J; Chen T; Feng S; Huang C; Wang Z; Wu S; Liu C; Zhan X
Comput Assist Surg (Abingdon); 2024 Dec; 29(1):2345066. PubMed ID: 38860617
[TBL] [Abstract][Full Text] [Related]
48. Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study.
Xu Q; Peng Y; Tan J; Zhao W; Yang M; Tian J
Front Public Health; 2022; 10():842104. PubMed ID: 35309227
[TBL] [Abstract][Full Text] [Related]
49. 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]
50. 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]
51. Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach.
Schönnagel L; Tani S; Vu-Han TL; Zhu J; Camino-Willhuber G; Dodo Y; Caffard T; Chiapparelli E; Oezel L; Shue J; Zelenty WD; Lebl DR; Cammisa FP; Girardi FP; Sokunbi G; Hughes AP; Sama AA
Spine J; 2024 Apr; 24(4):563-571. PubMed ID: 37980960
[TBL] [Abstract][Full Text] [Related]
52. Emergency department triage prediction of clinical outcomes using machine learning models.
Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K
Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786
[TBL] [Abstract][Full Text] [Related]
53. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y
Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835
[TBL] [Abstract][Full Text] [Related]
54. Machine Learning-Based Prediction of Elevated PTH Levels Among the US General Population.
Kato H; Hoshino Y; Hidaka N; Ito N; Makita N; Nangaku M; Inoue K
J Clin Endocrinol Metab; 2022 Nov; 107(12):3222-3230. PubMed ID: 36125184
[TBL] [Abstract][Full Text] [Related]
55. 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]
56. Prediction model of acute kidney injury after different types of acute aortic dissection based on machine learning.
Xinsai L; Zhengye W; Xuan H; Xueqian C; Kai P; Sisi C; Xuyan J; Suhua L
Front Cardiovasc Med; 2022; 9():984772. PubMed ID: 36211563
[TBL] [Abstract][Full Text] [Related]
57. Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study.
Lin Z; Yu LY; Pan SY; Cao Y; Lin P
Pain Ther; 2024 Jun; ():. PubMed ID: 38834881
[TBL] [Abstract][Full Text] [Related]
58. Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Meng L; Zhu P; Xia K
Front Public Health; 2024; 12():1368217. PubMed ID: 38645446
[TBL] [Abstract][Full Text] [Related]
59. 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]
60. Machine learning algorithms for claims data-based prediction of in-hospital mortality in patients with heart failure.
König S; Pellissier V; Hohenstein S; Bernal A; Ueberham L; Meier-Hellmann A; Kuhlen R; Hindricks G; Bollmann A
ESC Heart Fail; 2021 Aug; 8(4):3026-3036. PubMed ID: 34085775
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]