172 related articles for article (PubMed ID: 31928513)
1. Logistic LASSO and Elastic Net to Characterize Vitamin D Deficiency in a Hypertensive Obese Population.
Garcia-Carretero R; Vigil-Medina L; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
Metab Syndr Relat Disord; 2020 Mar; 18(2):79-85. PubMed ID: 31928513
[No Abstract] [Full Text] [Related]
2. Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Garcia-Carretero R; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
Med Biol Eng Comput; 2019 Sep; 57(9):2011-2026. PubMed ID: 31346948
[TBL] [Abstract][Full Text] [Related]
3. Machine learning approaches to constructing predictive models of vitamin D deficiency in a hypertensive population: a comparative study.
Garcia Carretero R; Vigil-Medina L; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Ramos-Lopez J
Inform Health Soc Care; 2021 Dec; 46(4):355-369. PubMed ID: 33792475
[No Abstract] [Full Text] [Related]
4. Prediction of Vitamin D Deficiency in Older Adults: The Role of Machine Learning Models.
Sluyter JD; Raita Y; Hasegawa K; Reid IR; Scragg R; Camargo CA
J Clin Endocrinol Metab; 2022 Sep; 107(10):2737-2747. PubMed ID: 35876536
[TBL] [Abstract][Full Text] [Related]
5. Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application.
Vasquez MM; Hu C; Roe DJ; Chen Z; Halonen M; Guerra S
BMC Med Res Methodol; 2016 Nov; 16(1):154. PubMed ID: 27842498
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
Corey KM; Kashyap S; Lorenzi E; Lagoo-Deenadayalan SA; Heller K; Whalen K; Balu S; Heflin MT; McDonald SR; Swaminathan M; Sendak M
PLoS Med; 2018 Nov; 15(11):e1002701. PubMed ID: 30481172
[TBL] [Abstract][Full Text] [Related]
7. Obesity and vitamin D deficiency: trends to promote a more proatherogenic cardiometabolic risk profile.
Stokić E; Kupusinac A; Tomić-Naglić D; Zavišić BK; Mitrović M; Smiljenić D; Soskić S; Isenović E
Angiology; 2015 Mar; 66(3):237-43. PubMed ID: 24658164
[TBL] [Abstract][Full Text] [Related]
8. Logistic LASSO regression for the diagnosis of breast cancer using clinical demographic data and the BI-RADS lexicon for ultrasonography.
Kim SM; Kim Y; Jeong K; Jeong H; Kim J
Ultrasonography; 2018 Jan; 37(1):36-42. PubMed ID: 28618771
[TBL] [Abstract][Full Text] [Related]
9. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
[TBL] [Abstract][Full Text] [Related]
11. A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population.
Chowdhury MZI; Leung AA; Walker RL; Sikdar KC; O'Beirne M; Quan H; Turin TC
Sci Rep; 2023 Jan; 13(1):13. PubMed ID: 36593280
[TBL] [Abstract][Full Text] [Related]
12. Performance assessment of different machine learning approaches in predicting diabetic ketoacidosis in adults with type 1 diabetes using electronic health records data.
Li L; Lee CC; Zhou FL; Molony C; Doder Z; Zalmover E; Sharma K; Juhaeri J; Wu C
Pharmacoepidemiol Drug Saf; 2021 May; 30(5):610-618. PubMed ID: 33480091
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Chronic Latent Magnesium Deficiency in Obesity Decreases Positive Effects of Vitamin D on Cardiometabolic Risk Indicators.
Stokic E; Romani A; Ilincic B; Kupusinac A; Stosic Z; Isenovic ER
Curr Vasc Pharmacol; 2018; 16(6):610-617. PubMed ID: 28828979
[TBL] [Abstract][Full Text] [Related]
15. Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.
Ononamadu CJ; Ezekwesili CN; Onyeukwu OF; Umeoguaju UF; Ezeigwe OC; Ihegboro GO
Cardiovasc J Afr; 2017 Mar/Apr 23; 28(2):92-99. PubMed ID: 27701484
[TBL] [Abstract][Full Text] [Related]
16. Machine-Learning vs. Expert-Opinion Driven Logistic Regression Modelling for Predicting 30-Day Unplanned Rehospitalisation in Preterm Babies: A Prospective, Population-Based Study (EPIPAGE 2).
Reed RA; Morgan AS; Zeitlin J; Jarreau PH; Torchin H; Pierrat V; Ancel PY; Khoshnood B
Front Pediatr; 2020; 8():585868. PubMed ID: 33614539
[No Abstract] [Full Text] [Related]
17. Evaluating the association of social needs assessment data with cardiometabolic health status in a federally qualified community health center patient population.
Drake C; Lian T; Trogdon JG; Edelman D; Eisenson H; Weinberger M; Reiter K; Shea CM
BMC Cardiovasc Disord; 2021 Jul; 21(1):342. PubMed ID: 34261446
[TBL] [Abstract][Full Text] [Related]
18. Screening the Influence of Biomarkers for Metabolic Syndrome in Occupational Population Based on the Lasso Algorithm.
Xie QY; Wang MW; Hu ZY; Cao CJ; Wang C; Kang JY; Fu XY; Zhang XW; Chu YM; Feng ZH; Cheng YR
Front Public Health; 2021; 9():743731. PubMed ID: 34712642
[No Abstract] [Full Text] [Related]
19. Low 25 Hydroxyvitamin D Levels are Independently Associated with Autoimmune Thyroiditis in a Cohort of Apparently Healthy Overweight and Obese Subjects.
De Pergola G; Triggiani V; Bartolomeo N; Giagulli VA; Anelli M; Masiello M; Candita V; De Bellis D; Silvestris F
Endocr Metab Immune Disord Drug Targets; 2018; 18(6):646-652. PubMed ID: 29623823
[TBL] [Abstract][Full Text] [Related]
20. Prevalence and Correlates of Vitamin D Deficiency and Insufficiency in Luxembourg Adults: Evidence from the Observation of Cardiovascular Risk Factors (ORISCAV-LUX) Study.
Alkerwi A; Sauvageot N; Gilson G; Stranges S
Nutrients; 2015 Aug; 7(8):6780-96. PubMed ID: 26287235
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]