33903629 34154530 33109481 35578254 - Search Results

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Year	Number of Results
2020	1
2021	3
2022	1

Page 1

Pre-existing and machine learning-based models for cardiovascular risk prediction.

Cho SY, Kim SH, Kang SH, Lee KJ, Choi D, Kang S, Park SJ, Kim T, Yoon CH, Youn TJ, Chae IH. Cho SY, et al. Sci Rep. 2021 Apr 26;11(1):8886. doi: 10.1038/s41598-021-88257-w. Sci Rep. 2021. PMID: 33903629 Free PMC article.

Modelling hospital outcome: problems with endogeneity.

Moran JL, Santamaria JD, Duke GJ; Australian & New Zealand Intensive Care Society (ANZICS) Centre for Outcomes & Resource Evaluation (CORE). Moran JL, et al. BMC Med Res Methodol. 2021 Jun 21;21(1):124. doi: 10.1186/s12874-021-01251-8. BMC Med Res Methodol. 2021. PMID: 34154530 Free PMC article.

What is the foot strike pattern distribution in children and adolescents during running? A cross-sectional study.

Giacomini BA, Yamato TP, Lopes AD, Hespanhol L. Giacomini BA, et al. Braz J Phys Ther. 2021 May-Jun;25(3):336-343. doi: 10.1016/j.bjpt.2020.10.001. Epub 2020 Oct 11. Braz J Phys Ther. 2021. PMID: 33109481 Free PMC article.

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. Liu Q, et al. BMC Psychiatry. 2022 May 16;22(1):337. doi: 10.1186/s12888-022-03986-0. BMC Psychiatry. 2022. PMID: 35578254 Free PMC article.

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