Classification

• 

  Patient Subtyping via Time-Aware LSTM Networks

  • Published on: August, 2017
  • Xi Zhang, Anil K. Jain, Fei Wang, Jiayu Zhou, Cao Xiao, Inci M. Baytas
  • Code Available

  Grouping of patients based on similar disease progression pathways, also known as Patient Subtyping is extremely important to account heterogeneity in ...

• 

  Automatic Body Part Identification in Whole-Body MRI

  • Published on: October, 2020
  • a-doering
  • Code Available

  The study of medical imaging data from large cohort studies, such as Magnetic Resonance Imaging (MRI), takes a long time. As a result, model for autom ...

• 

  Deep Reinforcement Learning for De Novo Drug Design

  • Published on: July, 2018
  • Olexandr Isayev, Mariya Popova, Alexander Tropsha
  • Code Available

  This model is an implementation of a novel computational strategy for de novo design of molecules with desired properties termed ReLeaSE (Reinforcemen ...

• 

  AutoDiscern-Rating the Quality of Online Health Information with Hierarchical Encoder Attention-Based Neural Networks

  • Published on: May, 2020
  • Michael Krauthammer, Ahmed Allam, Laura Kinkead
  • Code Available

  A huge amount of medical information is available online and people refer to it before consulting a health professional. The information may not be r ...

• 

  CT Based COVID-19 triage Deep multitask learning improves joint identification and severity quantification

  • Published on: March, 2021
  • MikhailGoncharov, MaximPisov
  • Code Available

  Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science problem ...

• 

  Query-Focused EHR Summarization to Aid Imaging Diagnosis

  • Published on: September, 2020
  • Byron C. Wallace, Geoffrey Young, Anne-Sophie Touret, Borna Dabiri, Jan-Willem van de Meent, Denis Jered McIne...
  • Code Available

  This model is an example of Natural language Processing Technique implemented on Health Records to help Radiologists in diagnosis. A Radiologist has f ...

• 

  Sentence Entity Resolver for RxNorm

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

  This model maps extracted medical entities to RxNorm codes using chunk embeddings, and has faster load time, with a speedup of about 6X when compared ...

• 

  Predicting the deterioration of COVID-19 patients in the emergency department

  • Published on: November, 2020
  • Yvonne W. Lui, David Kudlowitz, Taro Makino, Ben Zhang, Lea Azour, Carlos Fernandez-Granda, Siddhant Dogra, Yi...
  • Code Available

  During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decis ...

• 

  Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

  • Published on: July, 2020
  • Yinchong Yang, Tui Zhao, Yunpu Ma, Zhiliang Wu, Michael Moor, Yushan Liu, Volker Tresp
  • Code Available

  With the advance of EHR, a great variety of data is gathered in clinical practices, using which treatment and treatment policies can be evaluated for ...

• 

  Xome-Blender-A Novel Cancer Genome Simulator

  • Published on: April, 2018
  • A. Magi, R. Semeraro, Valerio Orlandini
  • Code Available

  Xome-Blender is a collection of python and R scripts based on SAMtools functions that allows to generate synthetic cancer genomes with user defined fe ...