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  1. Employees

Språkvelger

Norsk

Rajeev Bopche

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Rajeev Bopche

PhD Candidate
Department of Computer Science

rajeev.bopche@ntnu.no
IT-bygget, Gløshaugen
Research Publications

Research

Leveraging EHRs for predictive analytics

  • Computational sepsis mining and modelling

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2024

  • Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Ehrnström, Birgitta; Damås, Jan Kristian; Nytrø, Øystein. (2024) Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records. PLOS Digital Health
    Academic article
  • Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Ehrnström, Birgitta; Damås, Jan Kristian; Nytrø, Øystein. (2024) In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records. JAMIA Open
    Academic 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
    Academic literature review
  • 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

Journal publications

  • Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Ehrnström, Birgitta; Damås, Jan Kristian; Nytrø, Øystein. (2024) Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records. PLOS Digital Health
    Academic article
  • Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Ehrnström, Birgitta; Damås, Jan Kristian; Nytrø, Øystein. (2024) In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records. JAMIA Open
    Academic 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
    Academic literature review

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

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