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Modeling Chemotherapy Resistant Leukemia In Vitro
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Utilizing Twitter data for analysis of chemotherapy.

Ling Zhang1, Magie Hall1, Dhundy Bastola1

  • 1School of Interdisciplinary Informatics, University of Nebraska at Omaha, United States.

International Journal of Medical Informatics
|November 10, 2018
PubMed
Summary
This summary is machine-generated.

Analyzing chemotherapy discussions on Twitter reveals patient experiences and healthcare provider insights. This social media data offers a valuable resource for understanding cancer treatment perceptions and improving patient care.

Keywords:
CancerChemotherapyDeep learningSide effectSocial mediaTwitter

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Area of Science:

  • Social Media Analysis
  • Oncology
  • Natural Language Processing

Background:

  • Twitter is a popular platform offering insights into health behaviors.
  • Understanding patient and healthcare provider perceptions of chemotherapy is crucial for effective cancer care.

Purpose of the Study:

  • To assess and compare patient and healthcare provider perceptions of chemotherapy using Twitter data.
  • To analyze chemotherapy-related tweets for content and behavioral patterns.

Main Methods:

  • Collected cancer-related Twitter accounts and tweets using Tweepy.
  • Employed Long Short Term Memory (LSTM) networks for account classification (individual vs. organization).
  • Analyzed chemotherapy tweets using topic modeling, sentiment analysis, and word co-occurrence networks.

Main Results:

  • Classified 13,273 individual and 14,051 organization tweets with 85.2% accuracy.
  • Individual tweets focused on personal experiences and emotions; professional tweets were more neutral regarding side effects.
  • Organizational accounts lacked information on chemotherapy response assessment.

Conclusions:

  • Twitter data provides a valuable lens into patient perceptions of chemotherapy.
  • Social media analysis can supplement electronic medical records and inform personalized therapy plans.
  • Oncologists can leverage Twitter data to better understand patient experiences during chemotherapy.