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International Journal of Electronic Healthcare

Subject Areas: Health Informatics;
Publisher: Inderscience Enterprises Ltd - Inderscience Publishers
ISSN: 1741-8453
SJR: 23

LitStream

Journal Article

Development of usability features for mobile nutrition

Troccola, Raquel; Wei, June

2023 International Journal of Electronic Healthcare

doi:10.1504/ijeh.2023.135783

Development of mobile nutrition (m-nutrition) health applications is evolving rapidly due to technology. From a usability perspective, user-friendly features can successfully help nutrition communication systems. The current paper first develops a framework model to study usability features from...
LitStream

Journal Article

A cough type chronic disease prediction scheme using machine learning and diagnosis support system using a mobile application

Chowdhury, Upol; Chowdhury, Mahfuzulhoq

2023 International Journal of Electronic Healthcare

doi:10.1504/ijeh.2023.135798

Machine learning has been found to considerably lower the probability of inaccurate diagnoses when incorporated into modern diagnostic procedures. Different from the literature works, this paper proposes a method for diagnosing the three most similarly symptomised cough-type chronic diseases:...
LitStream

Journal Article

Diabetes detection system using machine learning algorithms

Bhat, Salliah Shafi; Banu, Madhina; Ansari, Gufran Ahmad; Selvam, Venkatesan

2023 International Journal of Electronic Healthcare

doi:10.1504/ijeh.2023.135804

Diabetes is a major severe disease that affects a lot of people worldwide. Technical advances have rapid impact on many aspects of human life whether it is healthcare profession or any other field. The disorder has an impact on society. Machine learning algorithms (MLA) can aid in predicting the...
LitStream

Journal Article

Diagnosing obesity using classification-based machine learning models

Udeechee,; Kumar, T.V. Vijay; Goel, Aayush

2023 International Journal of Electronic Healthcare

doi:10.1504/ijeh.2023.135784

Obesity has been a major underlying risk for people with chronic diseases and, thus, needs to be diagnosed in the early stages. This requires clinical data related to potential obese individuals to be evaluated for diagnosing obesity levels in individuals. In this paper, classification based...

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