Detalhe da pesquisa
1.
Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting.
Am J Transplant;
24(5): 803-817, 2024 May.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38346498
2.
Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations.
PLoS One;
18(2): e0281922, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36821544
3.
Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation-based methods.
Health Sci Rep;
6(4): e1214, 2023 Apr.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37091362
4.
Use of machine learning to identify risk factors for insomnia.
PLoS One;
18(4): e0282622, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37043435
5.
Use of machine learning to identify risk factors for coronary artery disease.
PLoS One;
18(4): e0284103, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37058460
6.
Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017-2020.
Obes Sci Pract;
9(6): 653-660, 2023 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38090680
7.
Hospitalized COVID-19 patients with diabetes have an increased risk for pneumonia, intensive care unit requirement, intubation, and death: A cross-sectional cohort study in Mexico in 2020.
Health Sci Rep;
6(4): e1222, 2023 Apr.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37081996
8.
Quantification of the Relationship of Pyridoxine and Spirometry Measurements in the United States Population.
Curr Dev Nutr;
7(8): 100078, 2023 Aug.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37529119
9.
Quantification of the Effect of Vitamin E Intake on Depressive Symptoms in United States Adults Using Restricted Cubic Splines.
Curr Dev Nutr;
7(2): 100038, 2023 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37180089
10.
Diabetes is associated with increased risk of death in COVID-19 hospitalizations in Mexico 2020: A retrospective cohort study.
Health Sci Rep;
6(7): e1416, 2023 Jul.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37415678
11.
Increased vigorous exercise and decreased sedentary activities are associated with decreased depressive symptoms in United States adults: Analysis of The National Health and Nutrition Examination Survey (NHANES) 2017-2020.
Health Sci Rep;
6(8): e1473, 2023 Aug.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37554955
12.
Dendrogram of transparent feature importance machine learning statistics to classify associations for heart failure: A reanalysis of a retrospective cohort study of the Medical Information Mart for Intensive Care III (MIMIC-III) database.
PLoS One;
18(7): e0288819, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37471315
13.
Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations.
Health Sci Rep;
6(10): e1635, 2023 Oct.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37867784
14.
Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trends.
BMC Res Notes;
16(1): 346, 2023 Nov 24.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38001467
15.
Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population.
PLoS One;
18(11): e0288903, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37992024
16.
Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertension.
J Clin Hypertens (Greenwich);
25(12): 1135-1144, 2023 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37971610
17.
Technical Report: Machine-Learning Pipeline for Medical Research and Quality-Improvement Initiatives.
Cureus;
15(10): e46549, 2023 Oct.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37933338
18.
Technical Report: Protocol for Characterizing Phenotype Variants Using Phenome-Wide Association Study (PheWAS) Utilizing the Nationwide Inpatient Sample 2020 in Individuals With Pancreatic Cysts and Lung Cancer.
Cureus;
15(12): e50982, 2023 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38259398