Ritankar Das
JMIR Medical Informatics · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ritankar Das trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ritankar Das's perspective
Ordered by how strongly the researchers Ritankar Das trusts endorse each paper. Same corpus, a different order for every researcher.
- The numerical solution of systems of polynomials - arising in engineering and science
- Addendum: Regularization and variable selection via the elastic net
- arXiv
- MIMIC-III, a freely accessible critical care database
- Assessment of Clinical Criteria for Sepsis (Journal of the American Medical Association (JAMA))
- The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
- The Sequential Organ Failure Assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation (Critical Care Medicine)
- A targeted real-time early warning score (TREWScore) for septic shock
- Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock*
- Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock
Their papers
- Energy landscapes for machine learning. (2017) — 101 citations
- Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial (2017) — 329 citations
- Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach (2016) — 489 citations