These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
138 related articles for article (PubMed ID: 39142178)
21. Machine learning-based models for the prediction of breast cancer recurrence risk. Zuo D; Yang L; Jin Y; Qi H; Liu Y; Ren L BMC Med Inform Decis Mak; 2023 Nov; 23(1):276. PubMed ID: 38031071 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage. Geng Z; Yang C; Zhao Z; Yan Y; Guo T; Liu C; Wu A; Wu X; Wei L; Tian Y; Hu P; Wang K J Transl Med; 2024 Mar; 22(1):236. PubMed ID: 38439097 [TBL] [Abstract][Full Text] [Related]
24. Non-Contrasted CT Radiomics for SAH Prognosis Prediction. Shan D; Wang J; Qi P; Lu J; Wang D Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852 [TBL] [Abstract][Full Text] [Related]
25. 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]
26. Predicting post-stroke pneumonia using deep neural network approaches. Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312 [TBL] [Abstract][Full Text] [Related]
27. An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study. Shen J; Chen J; Zheng Z; Zheng J; Liu Z; Song J; Wong SY; Wang X; Huang M; Fang PH; Jiang B; Tsang W; He Z; Liu T; Akinwunmi B; Wang CC; Zhang CJP; Huang J; Ming WK J Med Internet Res; 2020 Sep; 22(9):e21573. PubMed ID: 32930674 [TBL] [Abstract][Full Text] [Related]
28. Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data. Seki T; Kawazoe Y; Ohe K PLoS One; 2021; 16(2):e0246640. PubMed ID: 33544775 [TBL] [Abstract][Full Text] [Related]
29. Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma. Han T; Xiong F; Sun B; Zhong L; Han Z; Lei M Int J Med Inform; 2024 Apr; 184():105383. PubMed ID: 38387198 [TBL] [Abstract][Full Text] [Related]
30. Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning. Liu Z; Meng Z; Wei D; Qin Y; Lv Y; Xie L; Qiu H; Xie B; Li L; Wei X; Zhang D; Liang B; Li W; Qin S; Yan T; Meng Q; Wei H; Jiang G; Su L; Jiang N; Zhang K; Lv J; Hu Y BMC Med Inform Decis Mak; 2024 Apr; 24(1):110. PubMed ID: 38664736 [TBL] [Abstract][Full Text] [Related]
31. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study. Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274 [TBL] [Abstract][Full Text] [Related]
32. Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation. Chung H; Ko H; Kang WS; Kim KW; Lee H; Park C; Song HO; Choi TY; Seo JH; Lee J J Med Internet Res; 2021 Apr; 23(4):e27060. PubMed ID: 33764883 [TBL] [Abstract][Full Text] [Related]
33. An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach. Liu CF; Hung CM; Ko SC; Cheng KC; Chao CM; Sung MI; Hsing SC; Wang JJ; Chen CJ; Lai CC; Chen CM; Chiu CC Front Med (Lausanne); 2022; 9():935366. PubMed ID: 36465940 [TBL] [Abstract][Full Text] [Related]
34. Machine learning algorithms for improved prediction of in-hospital outcomes after moderate-to-severe traumatic brain injury: a Chinese retrospective cohort study. Zhang Z; Wang SJ; Chen K; Yin AA; Lin W; He YL Acta Neurochir (Wien); 2023 Aug; 165(8):2237-2247. PubMed ID: 37382689 [TBL] [Abstract][Full Text] [Related]
35. Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model. Wen DY; Chen JM; Tang ZP; Pang JS; Qin Q; Zhang L; He Y; Yang H Biomed Eng Online; 2024 Jun; 23(1):56. PubMed ID: 38890695 [TBL] [Abstract][Full Text] [Related]
36. Machine learning for prediction of acute kidney injury in patients diagnosed with sepsis in critical care. Shi J; Han H; Chen S; Liu W; Li Y PLoS One; 2024; 19(4):e0301014. PubMed ID: 38603693 [TBL] [Abstract][Full Text] [Related]
37. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation. Chen C; Yang D; Gao S; Zhang Y; Chen L; Wang B; Mo Z; Yang Y; Hei Z; Zhou S Respir Res; 2021 Mar; 22(1):94. PubMed ID: 33789673 [TBL] [Abstract][Full Text] [Related]
38. Unraveling variations and enhancing prediction of successful sphincter-preserving resection for low rectal cancer: a post hoc analysis of the multicentre LASRE randomized clinical trial. Wang X; Jiang W; Deng Y; Chen Z; Zheng Z; Sun Y; Xie Z; Lu X; Huang S; Lin Y; Huang Y; Chi P Int J Surg; 2024 Jul; 110(7):4031-4042. PubMed ID: 38652133 [TBL] [Abstract][Full Text] [Related]
39. An Advanced Machine Learning Model for a Web-Based Artificial Intelligence-Based Clinical Decision Support System Application: Model Development and Validation Study. Lin TH; Chung HY; Jian MJ; Chang CK; Perng CL; Liao GS; Yu JC; Dai MS; Yu CP; Shang HS J Med Internet Res; 2024 Sep; 26():e56022. PubMed ID: 39231422 [TBL] [Abstract][Full Text] [Related]
40. A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction. Zhou W; Yan Z; Zhang L Sci Rep; 2024 Mar; 14(1):5905. PubMed ID: 38467662 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]