D
Daria Stepanova Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
2 h-index
4 pubs
90 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Daria Stepanova's research interests include the application of machine learning to predict medical outcomes, as demonstrated in her 2024 publication on predicting percutaneous coronary intervention in critically ill patients with myocardial injury. Her scholarly work includes 4 total publications with 90 citations, and she holds an h-index of 2. Stepanova has collaborated with Ukash Nakarmi from the University of Arkansas at Little Rock on one shared publication. Her recent activity indicates ongoing engagement in research.
Metrics
- h-index: 2
- Publications: 4
- Citations: 90
Selected Publications
-
Abstract 4138376: A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury (2024)
Collaboration Network
Top Collaborators
Joshua Mueller
University of Arkansas for Medical Sciences (US)
1 shared publication
- Abstract 4138376: A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury
Vignesh Chidambaram
University of Arkansas for Medical Sciences (US)
1 shared publication
- Abstract 4138376: A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury
Ukash Nakarmi
University of Arkansas at Fayetteville
1 shared publication
In database
- Abstract 4138376: A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury
Subhi J. Al’Aref
University of Arkansas for Medical Sciences
1 shared publication
In database
- Abstract 4138376: A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury
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