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Synapse
May 16, 2026Digital Health0 citationsOpen Access

Tracking Patient Symptom Improvement Through Mobile Health Narratives

Tracking subjective symptom improvement from patient narratives in mobile health: An observational natural language processing study

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Authors

IAIsaac Owusu AsanteENEmmanuel NorbiMAMuhammad Ali

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Overview

Observational study explores the use of patient narratives to identify satisfaction and symptom improvement signals.

Key Points

  • This research aims to assess whether linguistic features in Chinese mHealth reviews can indicate patient satisfaction and perceived symptom improvement.
  • Analyzed 6,362 reviews from the WeDoctor mHealth platform
  • Used natural language processing to extract sentiment and relevant features
  • Applied linear regression, logistic regression, and Random Forest models for analysis
  • Sentiment polarity significantly predicted patient satisfaction (β=0.351, p<0.001)
  • 29% of reviews included expressions of perceived symptom improvement
  • TF-IDF and Random Forest models displayed high classification performance (F1-scores 0.945 and 0.953 respectively)

Cite This Study

Asante et al. (2026) studied this question.

synapsesocial.com/papers/6a080b38a487c87a6a40d5b6https://doi.org/10.1177/20552076261452394
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