Authors:
Bríter Andrés González-Daza
and
Miguel Alfonso Feijóo-García
Affiliation:
Program of Systems Engineering, Universidad El Bosque, Bogotá, Colombia
Keyword(s):
Usability, Healthcare Application, Recommendation System, Machine Learning.
Abstract:
Diseases based on eating disorders have been considered a health issue worldwide. It is worrying due to the increased complexity of treatments for diseases such as Diabetes, Hypertension, Obesity, and Anorexia. We present Fynex as a web-based expert system that implements a hybrid recommendation system that supports Healthcare Professionals and Patients with recommendations on nutritional plans and physical activity. It provides functionalities to have detailed follow-up and control regarding the evolution of a particular treatment regarding these diseases. This solution poses a decision-making system for Healthcare Professionals and Patients, fostering the medical processes (i.e., treatments, progress, and decisions) in an integrated and systemic way. We evaluated this tool following a pilot study based on pre-post experimentation, and reported the findings and results considering participants’ performance and perceptions, basing our analysis on (0-5) Likert scales, open-ended and Y
N responses, regarding their experience interacting with Fynex— analyzing the users’ perceptions on satisfaction and usability on the web-based application. Our preliminary findings suggest that Fynex is effectively a friendly user-centered approach that successfully increases medical processes, healthcare control, and treatment satisfaction.
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