Nariman Ammar

Brakefield, W., Ammar , N., & Shaban-Nejad, A. An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model.. JMIR formative research 6.7 (2022): e36055.

Cushing, A., Khan, M., Kysh, L., Brakefield, W., Ammar , N., Liberman, D., Wilson, J., Shaban-Nejad, A., & Espinoza, J. Geospatial data in pediatric asthma in the United States: a scoping review protocol.. JBI evidence synthesis 20.11 (2022): 2790-2798.

Gaudio, E., Ammar , N., Gunturkun, F., Akkus, C., Brakefield, W., Wakefield, D., Pisu, M., Davis, R., Shaban-Nejad, A., & Schwartz, D. Defining Radiation Treatment Interruption Rates During the COVID-19 Pandemic: Findings From an Academic Center in an Underserved Urban Setting.. International journal of radiation oncology, biology, physics (2022)

Hamilton, H., West, A., Ammar , N., Chinthala, L., Gunturkun, F., Jones, T., Shaban-Nejad, A., & Shah, S. Analyzing Relationships Between Economic and Neighborhood-Related Social Determinants of Health and Intensive Care Unit Length of Stay for Critically Ill Children With Medical Complexity Presenting With Severe Sepsis.. Frontiers in public health 10 (2022): 789999.

Melton, C., Olusanya, O., Ammar , N., & Shaban-Nejad, A. Sentiment Analysis of the Covid-19 Vaccines on Social Media.. Studies in health technology and informatics 290 (2022): 1056-1057.

Hill, E., Mehta, H., Sharma, S., Mane, K., Xie, C., Cathey, E., Loomba, J., Russell, S., Spratt, H., DeWitt, P., Ammar , N., Madlock-Brown, C., Brown, D., McMurry, J., Chute, C., Haendel, M., Moffitt, R., Pfaff, E., & Bennett, T. Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program.. medRxiv : the preprint server for health sciences (2022)

Reese, J., Blau, H., Bergquist, T., Loomba, J., Callahan, T., Laraway, B., Antonescu, C., Casiraghi, E., Coleman, B., Gargano, M., Wilkins, K., Cappelletti, L., Fontana, T., Ammar , N., Antony, B., Murali, T., Karlebach, G., McMurry, J., Williams, A., Moffitt, R., Banerjee, J., Solomonides, A., Davis, H., Kostka, K., Valentini, G., Sahner, D., Chute, C., Madlock-Brown, C., Haendel, M., & Robinson, P. Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs.. medRxiv : the preprint server for health sciences (2022)