Research Interests

Dr. Al-Mamun’s research lab name is HealBig- Health Outcomes and BigData Informatics. HealBig mainly focuses on understanding complex data problems in health outcomes and services-related research problems. HealBig develops and improves methods like mathematical and agent-based models, decision support systems, data mining, and machine learning within the health outcomes research domain. The overarching goal of HealBig is to develop health data science tools through interdisciplinary collaboration among health data scientists, physicians, clinical pharmacists, and other healthcare professionals.

Research Projects

Acute Kidney Injury (AKI) and Chronic Kidney Disease (CKD)

HealBig develops new and novel methods and tools to understand AKI among hospitalized patients. AKI occurred in over 1 of 5 hospitalizations in the U.S. Acute kidney injury (AKI) is a common and severe clinical event affecting up to 15.0% of hospitalized patients and up to 50.0% of intensive care unit patients. AKI can sometimes lead to chronic kidney disease (CKD). The existing epidemiology studies identify AKI as an independent risk factor for CKD, including End Stage Renal Disease (ESRD). In our lab, we utilized a range of datasets (e.g., EHR data, hospitalization data, national-level clinical and survey data) to understand the correlates of AKI and CKD among different populations. The existing projects related to AKI and CKD are provided below.

1. AKI among the critically ill patients
2. CKD progression and Clinical outcomes
3. Impact of nephrotoxic medications
4. Complex medication regimens and polypharmacy

Polysubstance Use and Opioid Epidemic

West Virginia (WV) is currently the 8th highest opioid prescribing state but has the highest opioid overdose fatality rate. Most fatal overdoses involved synthetic illicit opioids such as fentanyl or fentanyl analogs, usually with multiple drugs, including other opioids, benzodiazepines, methamphetamine/other stimulants, or antidepressants. However, polysubstance involvement in fatal and non-fatal WV overdoses is unpredictable and poorly characterized. Thus, it is important to address multiple substance use in overdose response programs and opioid misuse treatment. Our project team works on multiple projects to develop data mining and machine learning tools to understand the patterns of polysubstance use and correlates of fatal and non-fatal drug overdoses. We utilized state-level datasets from WVOCME: West Virginia Office of Chief Medical Examiner - Forensic Drug Database [FDD]), WV CSMP: West Virginia Board of Pharmacy Controlled Substance Monitoring Program, and TriNetx: an electronic health records dataset consisting of 2 million unique patient records.

Rare Diseases

The HealBig created a project team consisting of clinicians, pharmacists and nurses to understand the diagnosis delays and correlates to multiple rare diseases. So far, we have investigated two rare diseases: Transthyretin Amyloid Cardiomyopathy (ATTR-CM) and Merkel Cell Carcinoma (MCC). Our goal is to develop prognostic and prediction tools to identify rare diseases timely promptly.

Research Interests

• Digital Health
• Clinical Decision Support System
• Health Outcomes
• Health Resource Utilizations
• Health Outcomes Data Science
• Machine Learning

Disease Area

• Acute and Chronic Kidney Injury 
• Fatal and non-fatal drug overdoses
• Rare Diseases
• Infectious Diseases

Methodologies

• Mathematical modeling (infectious disease, agent-based, cellular automata, and dynamic models)
• Statistical modeling (regressions, time series models )
• Data mining (association rule mining, clustering)
• Machine learning

Recent Publications

1. Jeun K.J., Nduaguba S., Al-Mamun M.A., Factors Influencing the Medication Adherence in Adults With Attention-Deficit/Hyperactivity Disorder (ADHD) and Its Impact on Healthcare Utilization. Journal of Attention Disorders. 2023 Nov 10:10870547231210284. https://doi.org/10.1177/108705472312102
2. Khadka S., Bardes J.M, Al-Mamun M.A. Opioid-related polysubstance use and its effect on mortality and health resource utilization among trauma patients. Injury Epidemiology. 2023 Oct 23;10(1):54. https://doi.org/10.1186/s40621-023-00459-0
3. Brothers T.N., Furtado M., Al-Mamun M.A. Thiamine Utilization and the Lack of Prescribing Standardization: A Critical Examination. Alcohol. 2023 Nov 17. https://doi.org/10.1016/j.alcohol.2023.10.041
4. Adjeroh L., Brothers T., Shawwa K., Ikram M., Al-Mamun M.A. The association between polypharmacy and health-related quality of life among non-dialysis chronic kidney disease patients. Plos one. 2023 Nov 13;18(11):e0293912. https://doi.org/10.1371/journal.pone.0293912
5. Mbous, Y.P.V., Brothers, T., Al-Mamun, M.A. Medication Regimen Complexity Index Score at Admission as a Predictor of Inpatient Outcomes: A Machine Learning Approach. Int. J. Environ. Res. Public Health 2023, 20, 3760. https:// doi.org/10.3390/ijerph20043760.
6. Al-Mamun, M.A., Strock, J., Sharker Y., Shawwa, K., Schmidt, R., Slain, D., Sakhuja, A., Brothers, T.N. Evaluating the medication regimen complexity score as a predictor of clinical outcomes in the critically ill. Journal of Clinical Medicine. 2022 Aug 11;11(16):4705. 
7. Asare, E.O., Al-Mamun, M.A, Sarmin, M, Faruque, A.S, Ahmed, T., Pitzer, V.E., The influence of demographic and meteorological factors on temporal patterns of rotavirus infection in Dhaka, Bangladesh. Proceedings of the Royal Society B. 2022 Jun 8;289(1976):20212727. 
8. Brothers, T.N., Strock, J., LeMasters, T.J., Pawasauskas, J., Reed, R.C., Al-Mamun M.A., Survival and recovery modeling of acute kidney injury in critically ill adults. SAGE Open Medicine. 2022 May;10:20503121221099359.

The full publications list can be found here

https://scholar.google.com/citations?user=9Ga2RnYAAAAJ&hl=en

ResearchGate profile can be found here

https://www.researchgate.net/profile/Mohammad-Al-Mamun-5