Where Should Mobile Health Application Providers Focus Their Goals?
In the context of “Internet +” medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applicatio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-03-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125953895/view |
| _version_ | 1818008604965339136 |
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| author | Xiaojia Wang Kuo Du Keyu Zhu Shen Xu Shanshan Zhang |
| author_facet | Xiaojia Wang Kuo Du Keyu Zhu Shen Xu Shanshan Zhang |
| author_sort | Xiaojia Wang |
| collection | DOAJ |
| description | In the context of “Internet +” medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications are those aged 24 to 35. Thus, it is particularly important to study the preferences of young people for mobile health applications. Therefore, this study established a domain-adaptive mobile health application evaluation model based on users' experience, and used an interactive algorithm combining machine learning and Delphi method to calculate the weight distribution of evaluation factors. Compared with previous studies, the evaluation index based on user experience of youth group is established. On the one hand, we have a targeted understanding of the use characteristics of the youth group and subdivide the market of mobile health applications; on the other hand, we establish evaluation indexes based on user experience, which is more in line with the customer-oriented product service concept. At the same time, the mobile health application evaluation system established in this study adopts human-computer interaction, which can not only ensure efficiency, but also add expertise in the field to make the results more accurate. |
| first_indexed | 2024-04-14T05:32:26Z |
| format | Article |
| id | doaj.art-ee2d2d47e6ed483d8abf0d96c0cbc206 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-14T05:32:26Z |
| publishDate | 2021-03-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-ee2d2d47e6ed483d8abf0d96c0cbc2062022-12-22T02:09:46ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832021-03-0114110.2991/ijcis.d.210305.001Where Should Mobile Health Application Providers Focus Their Goals?Xiaojia WangKuo DuKeyu ZhuShen XuShanshan ZhangIn the context of “Internet +” medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications are those aged 24 to 35. Thus, it is particularly important to study the preferences of young people for mobile health applications. Therefore, this study established a domain-adaptive mobile health application evaluation model based on users' experience, and used an interactive algorithm combining machine learning and Delphi method to calculate the weight distribution of evaluation factors. Compared with previous studies, the evaluation index based on user experience of youth group is established. On the one hand, we have a targeted understanding of the use characteristics of the youth group and subdivide the market of mobile health applications; on the other hand, we establish evaluation indexes based on user experience, which is more in line with the customer-oriented product service concept. At the same time, the mobile health application evaluation system established in this study adopts human-computer interaction, which can not only ensure efficiency, but also add expertise in the field to make the results more accurate.https://www.atlantis-press.com/article/125953895/viewService evaluationMobile health applicationDomain-adaptiveMachine learningDelphi |
| spellingShingle | Xiaojia Wang Kuo Du Keyu Zhu Shen Xu Shanshan Zhang Where Should Mobile Health Application Providers Focus Their Goals? International Journal of Computational Intelligence Systems Service evaluation Mobile health application Domain-adaptive Machine learning Delphi |
| title | Where Should Mobile Health Application Providers Focus Their Goals? |
| title_full | Where Should Mobile Health Application Providers Focus Their Goals? |
| title_fullStr | Where Should Mobile Health Application Providers Focus Their Goals? |
| title_full_unstemmed | Where Should Mobile Health Application Providers Focus Their Goals? |
| title_short | Where Should Mobile Health Application Providers Focus Their Goals? |
| title_sort | where should mobile health application providers focus their goals |
| topic | Service evaluation Mobile health application Domain-adaptive Machine learning Delphi |
| url | https://www.atlantis-press.com/article/125953895/view |
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