Evaluation of the Deep Learning-Based m-Health Application Using Mobile App Development and Assessment Guide
Author:
Affiliation:
1. Technological Institute of the Philippines-Manila,Manila,Philippines
Funder
Cavite State University's Faculty and Staff Development Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9720724/9720434/09720892.pdf?arnumber=9720892
Reference16 articles.
1. Comparative Study of Test-Driven Development TDD, Behavior-Driven Development BDD and Acceptance Test–Driven Development ATDD
2. Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps
3. Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps
4. Client‐Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence‐Based Evaluation
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1. Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions;Computers;2023-04-25
2. A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis;International Journal of Environmental Research and Public Health;2023-01-16
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