Rajeev Bopche
About
I am a PhD candidate at the Department of Computer Science. My research focuses on health informatics, where I explore innovative ways to harness computational techniques to improve healthcare outcomes. My current projects include developing predictive models that leverage big data to foresee health trends and outcomes.
I actively collaborate with fellow researchers and industry professionals at Mid Norway Center for Sepsis Research to publish my findings, contributing to the broader scientific dialogue.
Research
Leveraging EHRs for predictive analytics
Publications
2024
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Bopche, Rajeev;
Gustad, Lise Tuset;
Afset, Jan Egil;
Damås, Jan Kristian;
Nytrø, Øystein.
(2024)
Predicting In-Hospital Death from Derived EHR Trajectory Features.
Academic chapter/article/Conference paper
-
Bopche, Rajeev;
Nytrø, Øystein;
Gustad, Lise Tuset;
Afset, Jan Egil;
Damås, Jan Kristian;
Ehrnström, Birgitta.
(2024)
Advancing Bloodstream Infection Prediction Using Explanable Artificial Intelligence Framework.
medRxiv
Popular scientific article
-
Bopche, Rajeev;
Damås, Jan Kristian.
(2024)
Recent Advancements in Machine Learning-Based Bloodstream Infection Prediction: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy.
medRxiv
Feature article
-
Bopche, Rajeev;
Gustad, Lise Tuset;
Afset, Jan Egil;
Ehrnström, Birgitta;
Damås, Jan Kristian;
Nytrø, Øystein.
(2024)
Inhospital Mortality, Readmission, and Prolonged Length of Stay Risk Prediction Leveraging Historical Electronic Health Records.
medRxiv
Popular scientific article
Journal publications
-
Bopche, Rajeev;
Nytrø, Øystein;
Gustad, Lise Tuset;
Afset, Jan Egil;
Damås, Jan Kristian;
Ehrnström, Birgitta.
(2024)
Advancing Bloodstream Infection Prediction Using Explanable Artificial Intelligence Framework.
medRxiv
Popular scientific article
-
Bopche, Rajeev;
Damås, Jan Kristian.
(2024)
Recent Advancements in Machine Learning-Based Bloodstream Infection Prediction: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy.
medRxiv
Feature article
-
Bopche, Rajeev;
Gustad, Lise Tuset;
Afset, Jan Egil;
Ehrnström, Birgitta;
Damås, Jan Kristian;
Nytrø, Øystein.
(2024)
Inhospital Mortality, Readmission, and Prolonged Length of Stay Risk Prediction Leveraging Historical Electronic Health Records.
medRxiv
Popular scientific article
Part of book/report
-
Bopche, Rajeev;
Gustad, Lise Tuset;
Afset, Jan Egil;
Damås, Jan Kristian;
Nytrø, Øystein.
(2024)
Predicting In-Hospital Death from Derived EHR Trajectory Features.
Academic chapter/article/Conference paper