Precision Medicine

• 

  Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

  • Published on: September, 2021
  • Logan Ward, Chi Chen, Shyue Ping Ong
  • Code Available

  This repository represents the efforts of the Materials Virtual Lab in developing graph networks for machine learning in materials science. It is a wo ...

• 

  Relation Extraction between Clinical Tests, Results and Dates

  • Published on: February, 2021
  • John Snow Labs
  • Code Available

   It is a pretrained NER deep learning model for detecting lab test names, their findings, measurements, results, and date, i.e. it identifies “is_find ...

• 

  Construction of Empirical Care Pathways Process Models from Multiple Real-World Datasets

  • Published on: February, 2020
  • Francisco Estupiñán-Romero, Juan González-García, Carlos Tellería-Orriols, Enrique Bernal-Delgado
  • Code Available

  The process models are a unique piece of information for health services research which are created using event logs and can help in visualizing start ...