Nan Liu

Artificial Intelligence · with Ong · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Epidemiology — 34 citations into it
• Cardiology and Cardiovascular Medicine — 29 citations into it
• Statistics and Probability — 16 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Health Information Management — 8 citations into it
• Statistical Learning Theory — 6 citations into it
• Information Systems — 5 citations into it

Whom Nan Liu trusts overall

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

1. C. Burges
2. Tom Fawcett
3. Peter C. Austin
4. Max Kuhn
5. Huan Liu
6. Marco Sandri
7. Trevor J. Hastie
8. J. Tu
9. G. Huang
10. Leo Breiman

Who trusts Nan Liu overall

1. Feng Xie

Papers from Nan Liu's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. An introduction to ROC analysis
3. Random Forests
4. Bootstrap Methods for Developing Predictive Models
5. Classification and regression trees
6. Multilayer feedforward networks are universal approximators
7. Pattern classification and scene analysis
8. Nearest neighbor pattern classification
9. METHODS OF VARIABLE SELECTION IN REGRESSION MODELING
10. A Tutorial on Support Vector Machines for Pattern Recognition

Their papers

• Voting based extreme learning machine (2012) — 356 citations
• AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (2020) — 123 citations
• Novel model for predicting inpatient mortality after emergency admission to hospital in Singapore: retrospective observational study (2019) — 21 citations
• FAM-FACE-SG: a score for risk stratification of frequent hospital admitters (2017) — 15 citations
• 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