HEAL Publications

2025

Chen, H., Li, R., Cleveland, A., Ding, J.(2025). Enhancing data quality in medical concept normalization through large language models. Journal of Biomedical Informatics, 104812.

Wang, Z., Wang, N, Zhang, H., Wang, Z., Wang, Z., Ding, J., Chen, H.(2025). BID-CCT: A Novel Model for Interdisciplinary Breakthrough Innovation Detection based on the cusp Catastrophe Theory. Information Processing & Management, 62(4), 104121.

Gumus, K.Z., Menendez, M., Baerga, C.G., Harmon, I., Kumar, S., Mete, M., Hernandez, M., Ozdemir, S., Yuruk, N., Balaji, K., others Investigation of radiomic features on MRI images to identify extraprostatic extension in prostate cancer. Computer Methods and Programs in Biomedicine. 259 108528. Elsevier.

 

2024

Lee, E., Kim, H., Esener, Y., & McCall, T. (2024). Internet-Based Social Connections of Black American College Students in Pre–COVID-19 and Peri–COVID-19 Pandemic Periods: Network Analysis. Journal of Medical Internet Research, 26, e55531.

Wang, Z., Zhang, H., Chen, J., & Chen, H. (2024). An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud model. Journal of Informetrics, 18(14), 101587.

Zhao, H., Chen, H., Ruggles, T. A., Feng, Y., Singh, D., & Yoon, H. J. (2024). Improving Text Classification with Large Language Model-Based Data Augmentation. Electronics, 13(13), 2535.

Ogbadu-Oladapo, L., Bissadu, K., Kim, H., & Smith, D. L. (2024). Information and health literacy: could there be any impact on health decision-making among adults?—evidence from North America. Journal of Public Health, 1-31.

Zhu, M., Sharma, P., Mete, M., Olcal, A., Ibrahim, I. F., Chan, W., & Bat, T. (2024). Absolute Immature Platelet Count As an Accessible Diagnostic Tool for Aplastic Anemia Vs. Immune Thrombocytopenia. Blood, 144, 2700.

Ren, E., Khalilian, K. E., Mete, M., Gurnari, C., Maciejewski, J., Bravo-Perez, C., & Bat, T. (2024). Using Machine Learning to Predict the Risk of Evolution to Paroxysmal Nocturnal Hemoglobinuria in Patients with Aplastic Anemia. Blood, 144, 1315.

Duran, M. N., Tombul, Z., Mete, M., Toprak, A. C., Ogbue, O., Awada, H., … Others. (2024). Predicting Extravascular Hemolysis in Paroxysmal Nocturnal Hemoglobinuria. Blood, 144, 2695.

Akash, R. S., Islam, R., Badhon, S. S. I., & Hossain, K.S.M T. (2024). CerviXpert: A multi-structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell abnormalities. Digital Health, 10, 20552076241295440.

Nussbaum, Y. I.,Hossain, K.S.M. T. Kaifi, J., Warren, W. C., Shyu, C., & Mitchem, J. B.(2024). Identifying Gene Expression Programs in single-cell RNA-seq Data using Linear Correlation Explanation. Journal of Biomedical Informatics, 154, 104644.

Fulton, S., Hannigan, G.G., Ogawa, R.S., Philbrick, J.L. (2024). Twenty-five years of Medical Library Association competencies and communities. Journal of the Medical Library Association: JMLA, 112(3), 195.

Kuon, T.A., Philbrick, J.L., Gill, D. (2024). Reflections on Implementing an ePortfolio as a Capstone Project for an LIS Master's Degree Program. Journal of Education for Library and Information Science, 65(4), 455-461.

Lessick, S.,Philbrick, J. L., Kloda, L. (2024). MLA Research Training Institute (RTI) 2018 and 2019: Participant research confidence and program effectiveness. Journal of the Medical Library Association: JMLA, 112(4), 307–323.

Awaad, Y., Hossain, G., Maguluri, D. S., Velagala, L. P., & Jarouf, A. (2024). Optimizing Cyber Risk Prediction for Clinical Wearables with Dijkstra’s Algorithm and Fuzzy Cognitive Mapping . 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life Using AI, Robotics and IoT (HONET), 1–8

2023

R. Rajabioun, M. Afshar, \"O. Atan,M. Mete, Akin, B. (2023). Classification of Distributed Bearing Faults using a Novel Sensory Board and Deep Learning Networks with Hybrid Inputs. IEEE Transactions on Energy Conversion, vol. 39, no. 2, pp. 963-973,

 

Rajabioun, R., Afshar, M., Mete, M., Atan, \"Ozkan, Akin, B. (2023). Distributed bearing fault classification of induction motors using 2D deep-learning model. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 5(1), 115-125.

Calimano-Ramirez, L.F., Virarkar, M.K., Hernandez, M., Ozdemir, S., Kumar, S., Gopireddy, D.R., Lall, C., Balaji, K., Mete, M., Gumus, K.Z. (2023). MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review. Other. 48 (7) 2379--2400. Springer US New York

Esener, Y., McCall, T., Lakdawala, A., Kim, H. (2023). Seeking and Providing Social Support on Twitter for Trauma and Distress During the COVID-19 Pandemic: Content and Sentiment Analysis. Journal of Medical Internet Research, 25 e46343.

Kim, H., Oh, S. (2023). Everyday life information seeking in South Korea during the COVID-19 pandemic: daily topics of information needs in social Q&A. Online Information Review, 47 (2) 414-430. Emerald Publishing Limited

Toprak, A.C., Bat, T., Mete, M., Gurnari, C., Bass, Z., Maciejewski, J.P., Awada, H., Olcal, A., Ibrahim, I.F. (2023). Predicting Clonal Evolution to Secondary Myeloid Neoplasms in Aplastic Anemia through Machine Learning. Blood, 142, 4093. Content Repository Only!.

 

2022 - Before

Sterling, E.B., Cleveland, A.D.,Philbrick, J.L. (2022). Analyzing COVID-19 Resources on Association of Academic Health Sciences Libraries’(AAHSL)Research Guides . Medical Reference Service Quarterly, 41 (4) 363-380.

Hossain, K.S.M. T. Harutyunyan, H., Ning, Y., Kennedy, B., Ramakrishnan, N., & Galstyan, A.(2022). Identifying geopolitical event precursors using attention-based LSTMs. Frontiers in artificial intelligence, 5, 893875.

Mete, M., Ayvaci, M.U., Ariyamuthu, V.K., Amin, A., Peltz, M., Thibodeau, J.T., Grodin, J.L., Mammen, P.P., Garg, S., Araj, F., others. (2022). Predicting post-heart transplant composite renal outcome risk in adults: a machine learning decision tool.Kidney International Reports, 7(6) 1410--1415. Elsevier.