Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity
Xuan, Wan Chai; Keikhosrokiani, Pantea (2023-09-01)
Avaa tiedosto
Sisältö avataan julkiseksi: 01.09.2025
Springer
01.09.2023
Xuan, W.C., Keikhosrokiani, P. (2023). Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity. In: Barsocchi, P., Parvathaneni, N.S., Garg, A., Bhoi, A.K., Palumbo, F. (eds) Enabling Person-Centric Healthcare Using Ambient Assistive Technology. Studies in Computational Intelligence, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-031-38281-9_2
https://rightsstatements.org/vocab/InC/1.0/
© 2023 The Authors, under exclusive license to Springer Nature Switzerland AG. This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-38281-9_2. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.
https://rightsstatements.org/vocab/InC/1.0/
© 2023 The Authors, under exclusive license to Springer Nature Switzerland AG. This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-38281-9_2. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms.
https://rightsstatements.org/vocab/InC/1.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312053509
https://urn.fi/URN:NBN:fi:oulu-202312053509
Tiivistelmä
Abstract
Obesity increases the risk of chronic diseases and malignancies. Individuals may develop poor habits that lead to weight gain and excess body fat. To address this chronic health concern, various treatments such as dietary changes, physical exercise, weight-loss training, and the adoption of health programs promoting a balanced diet are recommended. In order to support obese patients in maintaining a healthy lifestyle, a mobile application called Habitpad is proposed in this chapter. Habitpad aims to track the data and habit changes of obese patients, providing them with valuable insights. This study utilizes data analytics and machine learning techniques to classify the level of obesity based on patients' habit data. Several machine learning algorithms were compared, and the decision tree algorithm demonstrated the highest performance with 94% accuracy. To encourage the use of this application, gamification features including challenges, point rewards, and leaderboards are incorporated. This study anticipates reducing the obesity rate by promoting positive behavior change and healthier habits among patients.
Obesity increases the risk of chronic diseases and malignancies. Individuals may develop poor habits that lead to weight gain and excess body fat. To address this chronic health concern, various treatments such as dietary changes, physical exercise, weight-loss training, and the adoption of health programs promoting a balanced diet are recommended. In order to support obese patients in maintaining a healthy lifestyle, a mobile application called Habitpad is proposed in this chapter. Habitpad aims to track the data and habit changes of obese patients, providing them with valuable insights. This study utilizes data analytics and machine learning techniques to classify the level of obesity based on patients' habit data. Several machine learning algorithms were compared, and the decision tree algorithm demonstrated the highest performance with 94% accuracy. To encourage the use of this application, gamification features including challenges, point rewards, and leaderboards are incorporated. This study anticipates reducing the obesity rate by promoting positive behavior change and healthier habits among patients.
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