Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning

JAMA Oncol. 2018 Apr 1;4(4):581-583. doi: 10.1001/jamaoncol.2017.5688.

Abstract

This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a deep learning–based signal generation pipeline to capture how patients describe cutaneous eruptions.

Publication types

  • Evaluation Study

MeSH terms

  • Antineoplastic Agents / adverse effects*
  • Bias
  • Community Networks / statistics & numerical data
  • Data Mining / methods*
  • Data Mining / statistics & numerical data
  • Deep Learning*
  • Drug-Related Side Effects and Adverse Reactions / diagnosis
  • Drug-Related Side Effects and Adverse Reactions / epidemiology*
  • Humans
  • Information Storage and Retrieval / methods
  • Product Surveillance, Postmarketing / methods
  • Product Surveillance, Postmarketing / statistics & numerical data
  • Publications / statistics & numerical data
  • Skin Diseases / chemically induced*
  • Skin Diseases / epidemiology*
  • Social Networking*

Substances

  • Antineoplastic Agents