Machine Learning to Compare Frequent Medical Problems of African American and Caucasian Diabetic Kidney Patients-Reference-Cited by-同舟云学术

Machine Learning to Compare Frequent Medical Problems of African American and Caucasian Diabetic Kidney Patients

Published:2017 Issue:4 Volume:23 Page:241
ISSN:2093-3681
Container-title:Healthcare Informatics Research
language:en
Short-container-title:Healthc Inform Res

Author:

Kim Yong-Mi¹,Kathuria Pranay²,Delen Dursun³

Affiliation:

1. School of Library and Information Studies, University of Oklahoma, Tulsa, OK, USA.

2. Division of Nephrology and Hypertension, Department of Medicine, School of Community Medicine, University of Oklahoma, Tulsa, OK, USA.

3. Spears School of Business, Oklahoma State University, Tulsa, OK, USA.

Publisher

The Korean Society of Medical Informatics

Subject

Health Information Management,Health Informatics,Biomedical Engineering

Link

https://synapse.koreamed.org/pdf/10.4258/hir.2017.23.4.241

Reference29 articles.

1. CARDIOVASCULAR AND SURVIVAL PARADOXES IN DIALYSIS PATIENTS: Racial and Ethnic Disparities in End-Stage Kidney Failure-Survival Paradoxes in African-Americans

2. National Institute of Diabetes and Digestive and Kidney Diseases. Diabetic kidney disease: What is diabetic kidney disease? [Internet]. Bethesda (MD). National Institute of Diabetes and Digestive and Kidney Diseases. c2017. cited at 2017 Mar 28. Available from: https://www.niddk.nih.gov/health-information/diabetes/overview/preventing-problems/diabetic-kidney-disease

3. National Institute of Diabetes and Digestive and Kidney Diseases. High blood pressure & kidney disease [Internet]. Bethesda (MD). National Institute of Diabetes and Digestive and Kidney Diseases. c2017. cited at 2017 Mar 28. Available from: https://www.niddk.nih.gov/healthinformation/kidney-disease/chronic-kidney-diseaseckd/high-blood-pressure

4. National Institute of Diabetes and Digestive and Kidney Diseases. Anemia and chronic kidney disease [Internet]. Bethesda (MD). National Institute of Diabetes and Digestive and Kidney Diseases. c2017. cited at 2017 Mar 28. Available from: https://www.kidney.org

5. The Clinician and Estimation of Glomerular Filtration Rate by Creatinine-based Formulas: Current Limitations and Quo Vadis

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