Healthcare Informatics Research

Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study: Hassan Shojaee-Mend, Farnia Velayati, Batool Tayefi, Ebrahim Babaee; Healthc Inform Res. 2024;30(1):73-82. Published online January 31, 2024; DOI: https://doi.org/10.4258/hir.2024.30.1.73; Full text PubReader ePub PDF

Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population: Oluwakemi Odukoya, Solomon Nwaneri, Ifedayo Odeniyi, Babatunde Akodu, Esther Oluwole, Gbenga Olorunfemi, Oluwatoyin Popoola, Akinniyi Osuntoki; Healthc Inform Res. 2022;28(1):58-67. Published online January 31, 2022; DOI: https://doi.org/10.4258/hir.2022.28.1.58
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Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods: Shahabeddin Abhari, Sharareh R. Niakan Kalhori, Mehdi Ebrahimi, Hajar Hasannejadasl, Ali Garavand; Healthc Inform Res. 2019;25(4):248-261. Published online October 31, 2019; DOI: https://doi.org/10.4258/hir.2019.25.4.248
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Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application: Eunjoo Jeon, Hyeoun-Ae Park; Healthc Inform Res. 2018;24(2):125-138. Published online April 30, 2018; DOI: https://doi.org/10.4258/hir.2018.24.2.125
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Comparison of Predictive Models for the Early Diagnosis of Diabetes: Meysam Jahani, Mahdi Mahdavi; Healthc Inform Res. 2016;22(2):95-100. Published online April 30, 2016; DOI: https://doi.org/10.4258/hir.2016.22.2.95
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Development and Evaluation of a Smartphone Application for Managing Gestational Diabetes Mellitus: Soojung Jo, Hyeoun-Ae Park; Healthc Inform Res. 2016;22(1):11-21. Published online January 31, 2016; DOI: https://doi.org/10.4258/hir.2016.22.1.11
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Development of a Virtual Diabetes Register using Information Technology in New Zealand: Emmanuel C. Jo, Paul L. Drury; Healthc Inform Res. 2015;21(1):49-55. Published online January 31, 2015; DOI: https://doi.org/10.4258/hir.2015.21.1.49
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Effectiveness of the Smart Care Service for Diabetes Management: Young-Soon Chung, Yongsuk Kim, Chang Hee Lee; Healthc Inform Res. 2014;20(4):288-294. Published online October 31, 2014; DOI: https://doi.org/10.4258/hir.2014.20.4.288
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Impact of Computer-Based Pregnancy-Induced Hypertension and Diabetes Decision Aids on Empowering Pregnant Women: Azam Aslani, Fatemeh Tara, Lila Ghalighi, Omid Pournik, Sabine Ensing, Ameen Abu-Hanna, Saeid Eslami; Healthc Inform Res. 2014;20(4):266-271. Published online October 31, 2014; DOI: https://doi.org/10.4258/hir.2014.20.4.266
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HealthTWITTER Initiative: Design of a Social Networking Service Based Tailored Application for Diabetes Self-Management: Hye Hyeon Kim, Hwa Jeong Seo; Healthc Inform Res. 2014;20(3):226-230. Published online July 31, 2014; DOI: https://doi.org/10.4258/hir.2014.20.3.226
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Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran: Lily Tapak, Hossein Mahjub, Omid Hamidi, Jalal Poorolajal; Healthc Inform Res. 2013;19(3):177-185. Published online September 30, 2013; DOI: https://doi.org/10.4258/hir.2013.19.3.177
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Informatics as Tool for Quality Improvement: Rapid Implementation of Guidance for the Management of Chronic Kidney Disease in England as an Exemplar: Simon de Lusignan; Healthc Inform Res. 2013;19(1):9-15. Published online March 31, 2013; DOI: https://doi.org/10.4258/hir.2013.19.1.9
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Key Aspects of Using Web-based Diabetes Telemedicine Systems in Multiple Clinical Settings: Inyoung Choi, Sukil Kim, Young Dae Kwon; Healthc Inform Res. 2007;13(4):375-383. Published online December 31, 2007; DOI: https://doi.org/10.4258/jksmi.2007.13.4.375
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Development of a Health Information Web Site Evaluation Categories with Items for Diabetes Mellitus: Se Won Kang, Ji Soo Yoo, Il Sun Ko; Healthc Inform Res. 2005;11(4):345-352. Published online December 31, 2005; DOI: https://doi.org/10.4258/jksmi.2005.11.4.345
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PDA Based Point-of-care Personal Diabetes Management System: Kyung Soon Park, Nam Jin Kim, Ju Hyun Hong, Mi Sook Park, Eun Jong Cha, Tae Soo Lee; Healthc Inform Res. 2004;10(3):339-346. Published online September 30, 2004; DOI: https://doi.org/10.4258/jksmi.2004.10.3.339
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