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Cited by 23Colorectal Cancer Screening and DetectionMobile Health and mHealth ApplicationsArtificial Intelligence in Healthcare

Developing Screening Services for Colorectal Cancer on Android Smartphones

Open access
Wu, Hui-Ching, Chang, Chiao-Jung, Lin, Chun-Che, Tsai, Ming-Chang, Chang, Che-Chia, Tseng, Ming-Hseng·2014·Telemedicine and e-Health
DOI 10.1089/tmj.2013.0288PMC PMC4106382
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Abstract

Introduction: Colorectal cancer (CRC) is an important health problem in Western countries and also in Asia. It is the third leading cause of cancer deaths in both men and women in Taiwan. According to the well-known adenoma-to-carcinoma sequence, the majority of CRC develops from colorectal adenomatous polyps. This concept provides the rationale for screening and prevention of CRC. Removal of colorectal adenoma could reduce the mortality and incidence of CRC. Mobile phones are now playing an ever more crucial role in people's daily lives. The latest generation of smartphones is increasingly viewed as hand-held computers rather than as phones, because of their powerful on-board computing capability, capacious memories, large screens, and open operating systems that encourage development of applications (apps). Subjects and Methods: If we can detect the potential CRC patients early and offer them appropriate treatments and services, this would not only promote the quality of life, but also reduce the possible serious complications and medical costs. In this study, an intelligent CRC screening app on Android™ (Google™, Mountain View, CA) smartphones has been developed based on a data mining approach using decision tree algorithms. For comparison, the stepwise backward multivariate logistic regression model and the fecal occult blood test were also used. Results: Compared with the stepwise backward multivariate logistic regression model and the fecal occult blood test, the proposed app system not only provides an easy and efficient way to quickly detect high-risk groups of potential CRC patients, but also brings more information about CRC to customer-oriented services. Conclusions: We developed and implemented an app system on Android platforms for ubiquitous healthcare services for CRC screening. It can assist people in achieving early screening, diagnosis, and treatment purposes, prevent the occurrence of complications, and thus reach the goal of preventive medicine.

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Authors
Wu, H.-C., Chang, C.-J., Lin, C.-C., Tsai, M.-C., Chang, C.-C., & Tseng, M.-H.
Affiliations
  • Chung Shan Medical University (TW)
  • Chung Shan Medical University Hospital (TW)
ORCID
Venue
Telemedicine and e-Health
Publisher
SAGE Publications
Published
2014-08
Volume
20
Issue
8
Pages
687-695
ISSN
  • 1530-5627 (ISSN-L)
  • 1556-3669
DOI
10.1089/tmj.2013.0288
PMC
PMC4106382
OpenAlex
W2135955072
Cited by
23
References
37
Citations by year
2023: 1 · 2022: 1 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 3 · 2017: 2 · 2016: 5 · 2015: 2 · 2014: 1
FWCI
1.61
Type
journal article
Language
en
Open access
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Telemedicine Journal and e-Health (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Science Council
Topics
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
colorectal cancer screening, Android smartphone application, mobile health, decision tree classification, fecal occult blood test, high-risk patient identification, colorectal adenoma, ubiquitous healthcare, early cancer detection
MeSH terms
Algorithms, Colonoscopy, Decision Trees, Female, Humans, Male, Mass Screening, Middle Aged, Occult Blood, Prospective Studies, Taiwan, Colorectal Neoplasms, Cell Phone, Early Detection of Cancer, Mobile Applications

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