Sakyajit Bhattacharya

2016

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Sakyajit Bhattacharya's perspective

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

1. Latent Dirichlet Allocation
2. Scikit-learn: Machine Learning in Python
3. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
4. Unfolding Physiological State: Mortality Modelling in Intensive Care Units
5. Relations Between Two Sets of Variates
6. Canonical Correlation Analysis: An Overview with Application to Learning Methods
7. Deep Computational Phenotyping
8. Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
9. MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring (Computers in cardiology)
10. Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization

Their papers

• Predicting Complications in Critical Care Using Heterogeneous Clinical Data (2016) — 41 citations