Humayera Islam

Exposure of mobile phones and mass media in maternal health services use in developing nations: evidence from Urban Health Survey 2013 of Bangladesh

T. Senserrick, R. K. Biswas, J. Bhowmik, 2020 .

Discovery of Comorbid Psychiatric Conditions among Youth Detainees in Juvenile Justice System using Clinical Data

A. Mosa, Laine Young-Walker, Humayera Islam, 2020, ACI Open.

A Federated Mining Approach on Predicting Diabetes-Related Complications: Demonstration Using Real-World Clinical Data

A. Mosa, Humayera Islam, Famia, 2021, AMIA.

Machine Learning Embedded Smartphone Application for Early-Stage Diabetes Risk Assessment

Md. Maruf Hossain Shuvo, Md Maruf Hossain Shuvo, A. Mosa, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction (Preprint)

Illhoi Yoo, A. Mosa, Humayera Islam, 2021 .

A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction

Illhoi Yoo, A. Mosa, Humayera Islam, 2021, JMIR mHealth and uHealth.

Evaluation of machine learning applications using real-world EHR data for predicting diabetes-related long-term complications

A. Mosa, Humayera Islam, Vasanthi Mandhadi, 2021, Journal of Business Analytics.

Machine Learning Algorithms To Predict The Childhood Anemia In Bangladesh

Enayetur Raheem, Jahidur Rahman Khan, Srizan Chowdhury, 2021 .

Quantification of Urbanization Using Night-Time Light Intensity in Relation to Women’s Overnutrition in Bangladesh

Md.Mazharul Islam, K. Bakar, Humayera Islam, 2023, Journal of Urban Health.

Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients

A. Mosa, R. Hammer, Humayera Islam, 2022, Applied Sciences.

Investigation of the Utility of Features in a Clinical De-identification Model: A Demonstration Using EHR Pathology Reports for Advanced NSCLC Patients

A. Mosa, R. Hammer, Humayera Islam, 2022, Frontiers in Digital Health.