Feng Xie
Statistics and Probability · with Chakraborty · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 11 citations into it
Whom Feng Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter C. Austin
- Robert Tibshirani
- Niko Speybroeck
- P. Murtaugh
- D. Prytherch
- J. Tu
- Philipp Probst
- Thais Mayumi Oshiro
- A. Rogier
- Georg Heinze
Papers from Feng Xie's perspective
Ordered by how strongly the researchers Feng Xie trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Classification and regression trees
- Variable selection using random forests
- ViEWS--Towards a national early warning score for detecting adult inpatient deterioration.
- Bootstrap Methods for Developing Predictive Models
- METHODS OF VARIABLE SELECTION IN REGRESSION MODELING
- Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients*
- A tutorial on variable selection for clinical prediction models: feature selection methods in data mining could improve the results.
- Presentation of multivariate data for clinical use: The Framingham Study risk score functions
- MIMIC-III, a freely accessible critical care database
Their papers
- 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