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KMELIN: Project Reading List

Health Information Extraction

  1. Named entity recognition over electronic health records through a combined dictionary based approach
  2. Clinical information extraction applications: A literature review
  3. Extracting information from the text of electronic medical records to improve case detection: a systematic review
  4. Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility

  5. Deep learning with word embeddings improves 

    biomedical named entity recognition (A. Wannaphaschaiyong)

Entity Relationship Learning

  1. Automatic extraction of relations between medical concepts in clinical texts (Z. Gharibshah)

Health Information Network Integration

  1. Learning a Health Knowledge Graph from Electronic Medical Records
  2. Use of Graph Database for the Integration of Heterogeneous Biological Data
  3. Properties of healthcare teaming networks as a function of network construction algorithms
  4. A Social Network Analysis Framework for Modeling Health Insurance Claims Data

Feature Embedding Learning

  1. Readmission prediction via deep contextual embedding of clinical concepts
  2. Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission (F. Liu)
  3. Predicting Hospital Readmission via Cost-sensitive Deep Learning (Z. Gharibshah)
  4. Deep learning architectures for vector representations of patients and exploring predictors of 30-day hospital readmissions in patients with multiple chronic conditions (F. Liu)
  5. Discriminative Embeddings of Latent Variable Models for Structured Data (E. Beyazıt)
  6. The Multiscale Laplacian Graph Kernel (E. Beyazıt) [video: MP4]

  7. Graph Convolutional Networks to explore Drug and 

    Disease Relationships in Biological Networks (A. Wannaphaschaiyong)

Health Network Analytics and Applications

  1. Networks of hospital discharge planning teams and readmissions (X. Zhu)
  2. Network integration of multi-tumour omics data suggests novel targeting strategies
  3. A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks
  4. Graph Analysis for Detecting Fraud, Waste, and Abuse in Health-Care Data
  5. Co-clustering directed graphs to discover asymmetries and directional communities (Y. He)
  6. Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization (Y. He)

Health Network Search and Query

  1. Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design
  2. VISAGE: Interactive Visual Graph Querying
  3. Representing and querying disease networks using graph databases

KEMLIN: GitHub Sample Projects List

Health Information Extraction

  1. Clinical Named Entity Recognition system (CliNER)