Scheinker D - Search Results

1

A personalized decision aid for prostate cancer shared decision making.

Bagshaw HP, Martinez A, Heidari N, Scheinker D, Pollack A, Stoyanova R, Horwitz E, Morton G, Kishan AU, Buyyounouski MK. Bagshaw HP, et al. Among authors: scheinker d. BMC Med Inform Decis Mak. 2021 Dec 31;21(1):374. doi: 10.1186/s12911-021-01732-2. BMC Med Inform Decis Mak. 2021. PMID: 34972513 Free PMC article.

2

Personalizing cholesterol treatment recommendations for primary cardiovascular disease prevention.

Sarraju A, Ward A, Li J, Valencia A, Palaniappan L, Scheinker D, Rodriguez F. Sarraju A, et al. Among authors: scheinker d. Sci Rep. 2022 Jan 7;12(1):23. doi: 10.1038/s41598-021-03796-6. Sci Rep. 2022. PMID: 34996943 Free PMC article.

3

Promise and Perils of Big Data and Artificial Intelligence in Clinical Medicine and Biomedical Research.

Rodriguez F, Scheinker D, Harrington RA. Rodriguez F, et al. Among authors: scheinker d. Circ Res. 2018 Dec 7;123(12):1282-1284. doi: 10.1161/CIRCRESAHA.118.314119. Circ Res. 2018. PMID: 30566055 Review. No abstract available.

4

Identification of Factors Associated With Variation in US County-Level Obesity Prevalence Rates Using Epidemiologic vs Machine Learning Models.

Scheinker D, Valencia A, Rodriguez F. Scheinker D, et al. JAMA Netw Open. 2019 Apr 5;2(4):e192884. doi: 10.1001/jamanetworkopen.2019.2884. JAMA Netw Open. 2019. PMID: 31026030 Free PMC article.

5

Differences in Central Line-Associated Bloodstream Infection Rates Based on the Criteria Used to Count Central Line Days.

Scheinker D, Ward A, Shin AY, Lee GM, Mathew R, Donnelly LF. Scheinker D, et al. JAMA. 2020 Jan 14;323(2):183-185. doi: 10.1001/jama.2019.18616. JAMA. 2020. PMID: 31935018 Free PMC article.

6

Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population.

Ward A, Sarraju A, Chung S, Li J, Harrington R, Heidenreich P, Palaniappan L, Scheinker D, Rodriguez F. Ward A, et al. Among authors: scheinker d. NPJ Digit Med. 2020 Sep 23;3:125. doi: 10.1038/s41746-020-00331-1. eCollection 2020. NPJ Digit Med. 2020. PMID: 33043149 Free PMC article.

7

Multimethod, multidataset analysis reveals paradoxical relationships between sociodemographic factors, Hispanic ethnicity and diabetes.

Knight GM, Spencer-Bonilla G, Maahs DM, Blum MR, Valencia A, Zuma BZ, Prahalad P, Sarraju A, Rodriguez F, Scheinker D. Knight GM, et al. Among authors: scheinker d. BMJ Open Diabetes Res Care. 2020 Nov;8(2):e001725. doi: 10.1136/bmjdrc-2020-001725. BMJ Open Diabetes Res Care. 2020. PMID: 33229378 Free PMC article.

8

County-Level Factors Associated With Cardiovascular Mortality by Race/Ethnicity.

Zuma BZ, Parizo JT, Valencia A, Spencer-Bonilla G, Blum MR, Scheinker D, Rodriguez F. Zuma BZ, et al. Among authors: scheinker d. J Am Heart Assoc. 2021 Mar 16;10(6):e018835. doi: 10.1161/JAHA.120.018835. Epub 2021 Mar 3. J Am Heart Assoc. 2021. PMID: 33653083 Free PMC article.

9

Racial and Ethnic Disparities in Household Contact with Individuals at Higher Risk of Exposure to COVID-19.

Kong STJ, Lee RY, Rodriguez F, Scheinker D. Kong STJ, et al. Among authors: scheinker d. J Gen Intern Med. 2021 May;36(5):1470-1472. doi: 10.1007/s11606-021-06656-1. Epub 2021 Mar 5. J Gen Intern Med. 2021. PMID: 33674919 Free PMC article. No abstract available.

10

The Hispanic paradox in the prevalence of obesity at the county-level.

Valencia A, Zuma BZ, Spencer-Bonilla G, López L, Scheinker D, Rodriguez F. Valencia A, et al. Among authors: scheinker d. Obes Sci Pract. 2020 Oct 23;7(1):14-24. doi: 10.1002/osp4.461. eCollection 2021 Feb. Obes Sci Pract. 2020. PMID: 33680488 Free PMC article.

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