Jun Lyu

Journal of Psychiatric Research · 2020–2021

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

Papers from Jun Lyu's perspective

Ordered by how strongly the researchers Jun Lyu 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. LIII. On lines and planes of closest fit to systems of points in space
7. Pattern Recognition and Neural Networks
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
• Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study. (2020) — 1,223 citations
• Brief introduction of medical database and data mining technology in big data era (2020) — 494 citations