Published on in Vol 17, No 1 (2015): January

Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study

Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study

Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study

Journals

  1. Hasan M, Yokota F, Islam R, Hisazumi K, Fukuda A, Ahmed A. A Predictive Model for Height Tracking in an Adult Male Population in Bangladesh to Reduce Input Errors. International Journal of Environmental Research and Public Health 2020;17(5):1806 View
  2. Ichikawa D, Saito T, Ujita W, Oyama H. How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach. Journal of Biomedical Informatics 2016;64:20 View
  3. Yokota F, Biyani M, Islam R, Ahmed A, Nishikitani M, Kikuchi K, Nohara Y, Nakashima N. Lessons Learned from Co-Design and Co-Production in a Portable Health Clinic Research Project in Jaipur District, India (2016–2018). Sustainability 2018;10(11):4148 View
  4. Nakashima N. What Big Data Means. Japanese Journal of Neurosurgery 2015;24(10):664 View
  5. Lee H, Kim J, Na K, Park H, Han J, Pak Y, Nam B, Pae C, Lee J, Lim T, Lee D. The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam. Journal of Telemedicine and Telecare 2019;25(4):241 View
  6. Alonso S, de la Torre Díez I, Zapiraín B. Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature. Journal of Medical Systems 2019;43(5) View
  7. Sampa M, Hossain M, Hoque M, Islam R, Yokota F, Nishikitani M, Ahmed A. Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison. JMIR Medical Informatics 2020;8(10):e18331 View
  8. Sampa M, Hoque M, Hossain M. Impacts of Anthropometric, Biochemical, Socio-Demographic, and Dietary Habits Factors on the Health Status of Urban Corporate People in a Developing Country. Healthcare 2020;8(3):188 View
  9. Zeng J, Lawrence W, Yang J, Tian J, Li C, Lian W, He J, Qu H, Wang X, Liu H, Li G, Li G. Association between serum uric acid and obesity in Chinese adults: a 9-year longitudinal data analysis. BMJ Open 2021;11(2):e041919 View
  10. Baudier P, Kondrateva G, Ammi C, Chang V, Schiavone F. Patients’ perceptions of teleconsultation during COVID-19: A cross-national study. Technological Forecasting and Social Change 2021;163:120510 View
  11. Grau-Corral I, Pantoja P, Grajales III F, Kostov B, Aragunde V, Puig-Soler M, Roca D, Couto E, Sisó-Almirall A. Assessing Apps for Health Care Workers Using the ISYScore-Pro Scale: Development and Validation Study. JMIR mHealth and uHealth 2021;9(7):e17660 View
  12. Kikuchi K, Sato Y, Izukura R, Nishikitani M, Kato K, Morokuma S, Nessa M, Nohara Y, Yokota F, Ahmed A, Islam-Maruf R, Nakashima N. Portable health clinic for sustainable care of mothers and newborns in rural Bangladesh. Computer Methods and Programs in Biomedicine 2021;207:106156 View
  13. Hoffer-Hawlik M, Moran A, Zerihun L, Usseglio J, Cohn J, Gupta R, Catalá-López F. Telemedicine interventions for hypertension management in low- and middle-income countries: A scoping review. PLOS ONE 2021;16(7):e0254222 View

Books/Policy Documents

  1. Yokota F, Ahmed A. HCI International 2019 – Late Breaking Papers. View
  2. Ahmed A, Rebeiro-Hargrave A, Nohara Y, Maruf R, Ghosh P, Nakashima N, Yasuura H. Smart Sensors and Systems. View
  3. Marušič D, Rupel V, Mihelj P. New Perspectives in Medical Records. View
  4. Nohara Y, Inoue S, Nakashima N. Smart Sensors and Systems. View
  5. de Leeuw E, Simos J. Healthy Cities. View
  6. Yokota F, Biyani M, Islam R, Ahmed A, Nishikitani M, Kikuchi K, Izukura R, Nohara Y, Nakashima N. Decision Science for Future Earth. View