Jason Y. Adams

2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jason Y. Adams trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric R. Ziegel (in Statistics and Probability)
2. Radford M. Neal (in Statistics and Probability)
3. Marco Scutari (in Artificial Intelligence)

Papers from Jason Y. Adams's perspective

Ordered by how strongly the researchers Jason Y. Adams trusts endorse each paper. Same corpus, a different order for every researcher.

1. Pattern Recognition and Machine Learning
2. The Elements of Statistical Learning
3. The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis (Intensive Care Medicine)
4. Data Analysis with Bayesian Networks: A Bootstrap Approach
5. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure
6. Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock
7. ROC Graphs: Notes and Practical Considerations for Researchers
8. Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012
9. Learning Bayesian Networks with the bnlearn R Package
10. A simplified acute physiology score for ICU patients

Their papers

• From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system (2014) — 184 citations