161 related articles for article (PubMed ID: 37007551)
1. A risk model to predict the mental health of older people in Chinese communities based on machine learning.
Liu J; Zheng J; Zheng W; Zhao C; Fang F; Zheng H; Wang L
Ann Transl Med; 2023 Mar; 11(5):211. PubMed ID: 37007551
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size.
Pan C; Luo H; Cheung G; Zhou H; Cheng R; Cullum S; Wu C
JMIR AI; 2024 Jan; 3():e44185. PubMed ID: 38875533
[TBL] [Abstract][Full Text] [Related]
5. A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data.
Chang W; Liu Y; Xiao Y; Yuan X; Xu X; Zhang S; Zhou S
Diagnostics (Basel); 2019 Nov; 9(4):. PubMed ID: 31703364
[TBL] [Abstract][Full Text] [Related]
6. Predicting adverse drug events in older inpatients: a machine learning study.
Hu Q; Wu B; Wu J; Xu T
Int J Clin Pharm; 2022 Dec; 44(6):1304-1311. PubMed ID: 36115909
[TBL] [Abstract][Full Text] [Related]
7. Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data.
Bone C; Simmonds-Buckley M; Thwaites R; Sandford D; Merzhvynska M; Rubel J; Deisenhofer AK; Lutz W; Delgadillo J
Lancet Digit Health; 2021 Apr; 3(4):e231-e240. PubMed ID: 33766287
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma.
Feng M; Zhang J; Zhou X; Mo H; Jia L; Zhang C; Hu Y; Yuan W
J Oncol; 2022; 2022():6356399. PubMed ID: 36411795
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment.
Chu WM; Kristiani E; Wang YC; Lin YR; Lin SY; Chan WC; Yang CT; Tsan YT
Front Med (Lausanne); 2022; 9():937216. PubMed ID: 36016999
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
16. Prediction of Acute Respiratory Distress Syndrome in Traumatic Brain Injury Patients Based on Machine Learning Algorithms.
Wang R; Cai L; Zhang J; He M; Xu J
Medicina (Kaunas); 2023 Jan; 59(1):. PubMed ID: 36676795
[No Abstract] [Full Text] [Related]
17. 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]
18. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
19. Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study.
Wang J; Wang S; Zhu MX; Yang T; Yin Q; Hou Y
JMIR Med Inform; 2022 Apr; 10(4):e33395. PubMed ID: 35442202
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]