Li Li

Journal of Evidence-Based Medicine · with Feng · 2020–2021

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

Papers from Li Li's perspective

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

1. Random Forests
2. Analysis of a complex of statistical variables into principal components.
3. Some methods for classification and analysis of multivariate observations
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
6. Pattern Recognition and Neural Networks
7. LIII. On lines and planes of closest fit to systems of points in space
8. BIRCH: an efficient data clustering method for very large databases
9. Bootstrap Methods: Another Look at the Jackknife
10. Mining association rules between sets of items in large databases

Their papers

• Data mining in clinical big data: the frequently used databases, steps, and methodological models (2021) — 461 citations
• Brief introduction of medical database and data mining technology in big data era (2020) — 494 citations