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Assessing mobile health applications with twitter analytics.

Rajesh R Pai¹, Sreejith Alathur¹

¹School of Management, National Institute of Technology Karnataka, Surathkal, India.

International Journal of Medical Informatics

|April 1, 2018

Summary

Mobile health applications show positive user perception for fitness, diabetes, and meditation, but not cancer. This sentiment analysis of Twitter data offers insights for healthcare app development and adoption.

Keywords:

Causal loop diagram Mobile health Sentiment analysis Technology adoption model Twitter analytics

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Area of Science:

Health Informatics
Social Media Analytics
Public Health

Background:

Information technology advancements and internet use have transformed service delivery.
The healthcare sector is increasingly adopting mobile health applications to improve accessibility and affordability.

Purpose of the Study:

To conduct sentiment analysis on Twitter data to gauge public perception and usage of mobile health applications.
To measure the polarity and emotions associated with various mobile health applications.

Main Methods:

Qualitative research methodology utilizing data extracted from Twitter.
Employed RStudio and the Twitter Application Programming Interface to collect 1,000 tweets each for 'fitness app', 'diabetes app', 'meditation app', and 'cancer app'.
Performed sentiment analysis to determine tweet polarity and emotional content.

Main Results:

Positive sentiment polarity was observed for fitness, diabetes, and meditation applications.
A negative or neutral sentiment was noted for cancer-related mobile health applications.
Identified causal relationships between the accessibility and acceptability of mobile health applications.

Conclusions:

User perception varies significantly across different types of mobile health applications.
Findings provide valuable insights for healthcare providers and app developers regarding user adoption dynamics.
Understanding user sentiment is crucial for optimizing mobile health application design and implementation.