Publications
99
Citations
3,533
Est. group size
—
Recurring co-author estimate
Active years
57
Publishing since 1969
Michael A. Kraus conducts clinical research in nephrology, the branch of medicine focused on kidney disease and its treatment. His work centers on dialysis therapies—especially home-based options like peritoneal dialysis and hemodialysis—including how treatments are prescribed, patient outcomes, and the transition between different forms of care. A recurring theme is the use of machine learning and artificial intelligence to predict patient outcomes such as treatment failure, hospitalization, and mortality.
Publication activity rose to a peak around 2020-2021 and has remained fairly steady at roughly 3-5 papers per year since, averaging about 3 per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Empowering Kidney Care: An ANNA-ASN Conference with Nurse-Physician Partners – Quality and Safety
Nephrology Nursing Journal · 2025
- Dialysis in the Elderly
2024
- Trends in Automated Peritoneal Dialysis Prescriptions in a Large Dialysis Organization in the United States
Clinical Journal of the American Society of Nephrology · 2024
- Home Dialysis Prediction Using Artificial Intelligence
Kidney Medicine · 2024
- Age-specific associations of invasive treatment with long-term mortality of patients with acute myocardial infarction: Results of a real-world cohort analysis
IJC Heart & Vasculature · 2024
- #1325 Patients reporting not “sleeping normally” are more likely to transition to in-center hemodialysis within 90 days of peritoneal dialysis start
Nephrology Dialysis Transplantation · 2024
- Assessing the impact of transitional care units on dialysis patient outcomes: A multicenter, propensity score‐matched analysis
Hemodialysis International · 2023
- Machine Learning Case Study: Patterns of Kidney Function Decline and Their Association With Clinical Outcomes Within 90 Days After the Initiation of Renal Dialysis
Advances in Kidney Disease and Health · 2023
- Provider Peritoneal Dialysis (PD) Education Can Increase Continuous Ambulatory Peritoneal Dialysis (CAPD) Utilization Without Increased Peritonitis
Journal of the American Society of Nephrology · 2023
- Race and Ethnicity Do Not Influence the Performance of Fistula Failure Machine Learning Model
Journal of the American Society of Nephrology · 2023
- Predictors of Shorter- and Longer-Term Mortality after COVID-19 Presentation among Dialysis Patients: Parallel Use of Machine Learning Models in Latin and North American Countries
Research Square · 2022
- Black, Non-Hispanic Individuals Are More Likely to Have Slower eGFR Decline Before Dialysis
Journal of the American Society of Nephrology · 2022
- eGFR Trajectory Pre-Dialysis Initiation Predicts 90-Day Hospitalization and Mortality Risk
Journal of the American Society of Nephrology · 2022
- Patient Characteristics Associated With Attrition to In-Center From Home Hemodialysis Treatment
Journal of the American Society of Nephrology · 2022
- The Impact of Urgent Start Peritoneal Dialysis on Patient Outcomes
Journal of the American Society of Nephrology · 2022
- Journal of the American Society of Nephrology×13
- American Journal of Kidney Diseases×4
- Kidney360×2
- Der Anaesthesist×2
- Hemodialysis International×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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