MD Joseph R. Pare

Academic Emergency Medicine · 2016

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

Whom MD Joseph R. Pare trusts overall

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

1. Niko Speybroeck

Papers from MD Joseph R. Pare's perspective

Ordered by how strongly the researchers MD Joseph R. Pare trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bias in random forest variable importance measures: Illustrations, sources and a solution
2. Variable Selection Using Random Forests
3. Random Forests
4. Discretization: An Enabling Technique
5. Classification and regression trees
6. An Efficient k-Means Clustering Algorithm: Analysis and Implementation
7. APACHE II: A severity of disease classification system
8. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. (Health Affairs)
9. Clinical Prediction Rules
10. Receiver-Operating Characteristic Analysis for Evaluating Diagnostic Tests and Predictive Models (Circulation)

Their papers

• Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach. (2016) — 436 citations