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BMC Medical Informatics and Decision Making|July 8, 2017
Impact of mobile phone-based technology to improve health, population and nutrition services in Rural Bangladesh: a study protocolJasim Uddin, Tuhin Biswas, Gourab Adhikary, et al.
BMC Women'S Health|January 13, 2018
Knowledge of cervical cancer and HPV vaccine in Bangladeshi women: a population based, cross-sectional studyJessica Yasmine Islam, Fatema Khatun, Anadil Alam, et al.
JMIR Human Factors|January 2, 2025
Users' Perceived Service Quality of National Telemedicine Services During the COVID-19 Pandemic in Bangladesh: Cross-Sectional StudyFatema Khatun, Novel Chandra Das, Md Rakibul Hoque, et al.
Journal of Health, Population, and Nutrition|January 2, 2007
Electrocardiographic abnormalities among arsenic-exposed persons through groundwater in BangladeshS Akhtar Ahmad, Fatema Khatun, M H Salim Ullah Sayed, et al.
BMC Public Health|January 28, 2012
Causes of neonatal and maternal deaths in Dhaka slums: implications for service deliveryFatema Khatun, Sabrina Rasheed, Allisyn C Moran, et al.
Bioinformation|May 18, 2026
HPV self-sampling and physician-collected sampling for detection of precancerous lesions of the cervixJannatul Ferdous, Jakanta Faika M S T, Noor E Ferdous, et al.
Plos One|January 29, 2026
Correction: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approachNovel Chandra Das, Probir Kumar Ghosh, Md Alamgir Hossain, et al.
Plos One|January 9, 2026
Correction: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approachNovel Chandra Das, Probir Kumar Ghosh, Md Alamgir Hossain, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|February 5, 2009
Multihospital surveillance of pneumonia burden among children aged <5 years hospitalized for pneumonia in BangladeshAliya Naheed, Samir K Saha, Robert F Breiman, et al.
Plos One|October 30, 2025
Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approachNovel Chandra Das, Probir Kumar Ghosh, Md Alamgir Hossain, et al.
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