Z. Koh

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Z. Koh trusts overall

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

1. Tom Fawcett
2. C. Burges
3. Max Kuhn
4. Huan Liu
5. Peter C. Austin
6. Marco Sandri

Papers from Z. Koh's perspective

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

1. An introduction to ROC analysis
2. A Tutorial on Support Vector Machines for Pattern Recognition
3. Data Mining - Concepts and Techniques (Künstliche Intell.)
4. The TIMI risk score for unstable angina/non-ST elevation MI: A method for prognostication and therapeutic decision making.
5. Building Predictive Models in R Using the caret Package
6. Sudden death due to cardiac arrhythmias. (New England Journal of Medicine)
7. Random Forests
8. Kubios HRV - Heart rate variability analysis software (Comput. Methods Programs Biomed.)
9. Toward integrating feature selection algorithms for classification and clustering (IEEE Transactions on Knowledge and Data Engineering)
10. Validation of a modified Early Warning Score in medical admissions.

Their papers

• A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain (2016) — 33 citations
• Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection (2014) — 72 citations