149 related articles for article (PubMed ID: 37172507)
1. Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study.
Kablan R; Miller HA; Suliman S; Frieboes HB
Int J Med Inform; 2023 Jul; 175():105090. PubMed ID: 37172507
[TBL] [Abstract][Full Text] [Related]
2. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
Shakhovska N; Yakovyna V; Chopyak V
Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
[TBL] [Abstract][Full Text] [Related]
3. A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy.
Wu K; Miu X; Wang H; Li X
Front Oncol; 2023; 13():1152020. PubMed ID: 37384290
[TBL] [Abstract][Full Text] [Related]
4. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
5. Predicting hospitalization following psychiatric crisis care using machine learning.
Blankers M; van der Post LFM; Dekker JJM
BMC Med Inform Decis Mak; 2020 Dec; 20(1):332. PubMed ID: 33302948
[TBL] [Abstract][Full Text] [Related]
6. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
Ahmad N; Wali B; Khattak AJ
J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
[TBL] [Abstract][Full Text] [Related]
7. Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA.
Dang L; Li J; Bai X; Liu M; Li N; Ren K; Cao J; Du Q; Sun J
Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766500
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression.
Liu Q; Salanti G; De Crescenzo F; Ostinelli EG; Li Z; Tomlinson A; Cipriani A; Efthimiou O
BMC Psychiatry; 2022 May; 22(1):337. PubMed ID: 35578254
[TBL] [Abstract][Full Text] [Related]
9. Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data.
Rasmy L; Nigo M; Kannadath BS; Xie Z; Mao B; Patel K; Zhou Y; Zhang W; Ross A; Xu H; Zhi D
Lancet Digit Health; 2022 Jun; 4(6):e415-e425. PubMed ID: 35466079
[TBL] [Abstract][Full Text] [Related]
10. COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation.
Sankaranarayanan S; Balan J; Walsh JR; Wu Y; Minnich S; Piazza A; Osborne C; Oliver GR; Lesko J; Bates KL; Khezeli K; Block DR; DiGuardo M; Kreuter J; O'Horo JC; Kalantari J; Klee EW; Salama ME; Kipp B; Morice WG; Jenkinson G
J Med Internet Res; 2021 Sep; 23(9):e30157. PubMed ID: 34449401
[TBL] [Abstract][Full Text] [Related]
11. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.
Ikemura K; Bellin E; Yagi Y; Billett H; Saada M; Simone K; Stahl L; Szymanski J; Goldstein DY; Reyes Gil M
J Med Internet Res; 2021 Feb; 23(2):e23458. PubMed ID: 33539308
[TBL] [Abstract][Full Text] [Related]
12. Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data.
Imangaliyev S; Schlötterer J; Meyer F; Seifert C
Diagnostics (Basel); 2022 Oct; 12(10):. PubMed ID: 36292203
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.
Sarvestany SS; Kwong JC; Azhie A; Dong V; Cerocchi O; Ali AF; Karnam RS; Kuriry H; Shengir M; Candido E; Duchen R; Sebastiani G; Patel K; Goldenberg A; Bhat M
Lancet Digit Health; 2022 Mar; 4(3):e188-e199. PubMed ID: 35216753
[TBL] [Abstract][Full Text] [Related]
14. STarFish: A Stacked Ensemble Target Fishing Approach and its Application to Natural Products.
Cockroft NT; Cheng X; Fuchs JR
J Chem Inf Model; 2019 Nov; 59(11):4906-4920. PubMed ID: 31589422
[TBL] [Abstract][Full Text] [Related]
15. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
16. Exploiting ensemble learning to improve prediction of phospholipidosis inducing potential.
Nath A; Sahu GK
J Theor Biol; 2019 Oct; 479():37-47. PubMed ID: 31310757
[TBL] [Abstract][Full Text] [Related]
17. The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study.
He F; Page JH; Weinberg KR; Mishra A
J Med Internet Res; 2022 Jan; 24(1):e31549. PubMed ID: 34951865
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Forecasting Corn Yield With Machine Learning Ensembles.
Shahhosseini M; Hu G; Archontoulis SV
Front Plant Sci; 2020; 11():1120. PubMed ID: 32849688
[TBL] [Abstract][Full Text] [Related]
20. Classifying high-dimensional phenotypes with ensemble learning.
Devine J; Kurki HK; Epp JR; Gonzalez PN; Claes P; Hallgrímsson B
bioRxiv; 2023 May; ():. PubMed ID: 37398168
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
