Grants & Projects per year
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Biography
Dr. Janos G. Hajagos is Chief of Data Analytics and Research Assistant Professor in the Department of Biomedical Informatics at Stony Brook University. He is the lead data scientist across several quality initiatives at Stony Brook Medicine and for the Suffolk Care Collaborative’s DSRIP award. Before his current position he was the Associate Director of Data Computation in the Division of Applied Informatics. There he was integral in several data analytic applications and the development of production web applications for the New York State Department of Health’s Medicaid Program. Dr. Hajagos has published and presented his informatics work at a range of national conferences. He received his PhD in Ecology and Evolution in 2005 from Stony Brook University.
Dr. Hajagos's current areas of research in biomedical informatics can be divided into two areas. The first is applying machine learning approaches to quantify patterns of health care utilization. This includes the application of graph databases and algorithms to EMR and administrative health care data sets. The second is the application of semantic technologies to bridge disparate sources of information. Dr. Hajagos has been developing tools to adapt and utilize the UMLS to find novel links between basic science researchers and clinicians.
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Collaborations and top research areas from the last five years
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INSIGHT Phase 4 Clinical Research Network
Nachman, S. (PI), Hajagos, J. (CoPI), Saltz, J. (CoPI) & Wong, R. (CoPI)
Weill Medical College of Cornell University
01/1/25 → 12/31/26
Project: Research
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AI Innovation Institute Seed Grant Fund Program
Skiena, S. S. (PI), Balasubramanian, A. (CoI), Balasubramanian, N. (CoI), Banerjee, R. (CoI), Brennan, S. (CoI), Dubnau, J. T. (CoI), Enikolopov, G. (CoI), Hajagos, J. (CoI), Hsiao, B. S. (CoI), Hu, C.-K. (CoI), Johnston, K. D. (CoI), Josephs, E. (CoI), Kurc, T. (CoI), Lemelin, J. M. (CoI), Li, R. (CoI), McKinnon, D. (CoI), McSweeney, J. (CoI), Prasanna, P. (CoI), Qin, R. (CoI), Ramakrishnan, I. V. (CoI), Rambow, O. (CoI), Reed, K. A. (CoI), Saltz, M. (CoI), Salzano, M. (CoI), Sharma, S. (CoI), Tassiopoulos, A. (CoI), Yin, Z. (CoI), Zelinsky, G. (CoI), Zhang, T. (CoI), Dollan, I. J. (CoI), Qian, X. (CoI), Rosati, B. (CoI), Shu, Z. (CoI), Song, T. (CoI) & Tirotta-Esposito, R. (CoI)
01/1/25 → 12/31/26
Project: Research
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Artificial Intelligence Augmented Emergency Department Triage
Heslin, S. M. (PI), Hajagos, J. (CoPI), Saltz, J. (CoPI) & Singer, A. (CoPI)
Society for Academic Emergency Medicine Foundation
07/1/24 → 12/31/26
Project: Research
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PASC/RECOVER Yr 3 Q2-4; Yr 4 Q 1-4: The RECOVER Post-Acute Sequelae of SARS-CoV-2 (PASC) Electronic Health Record (EHR) Cohort Study
Saltz, J. (PI), Wong, R. (PI), Gupta,MD/PhD, R. R. (CoPI), Hajagos, J. (CoPI), Koraishy, F. (CoPI) & Kurc, T. (CoPI)
National Heart Lung and Blood Institute
03/1/24 → 11/30/25
Project: Research
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NaCDaC -National Clinical Data Collaborative UNC
Saltz, J. (PI), Hajagos, J. (CoPI) & Wong, R. (CoPI)
09/26/23 → 09/25/24
Project: Research
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Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization
Wang, W., Zhu, W., Hajagos, J., Fochtmann, L. & Koraishy, F. M., Jan 2025, In: PLoS ONE. 20, 1 January, e0317558.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports
Kartsonis, W., Pastena, P., Hajagos, J., Hirsch, K., Gilotra, K., Murundi, S., Raiker, A., de la Bastide, C., Martinez, C. & Tassiopoulos, A., Jan 2025, In: Annals of Vascular Surgery. 110, p. 95-105 11 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Linking The Cancer Imaging Archive and GenBank to the National Clinical Cohort Collaborative
Baghal, A., Saltz, J., Kurc, T., Prasanna, P., Baghal, S., Hajagos, J., Bremer, E., Al-Shukri, S., Kennedy, J. L., Rutherford, M., Nolan, T., Smith, K., Chute, C. G. & Prior, F., Jan 2025, In: Learning Health Systems. 9, 1, e10457.Research output: Contribution to journal › Article › peer-review
Open Access -
Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis
Wang, C., Banerjee, R., Kuperstein, H., Malick, H., Bano, R., Cunningham, R. L., Tahir, H., Sakhuja, P., Hajagos, J. & Koraishy, F. M., Dec 31 2025, In: Renal Failure. 47, 1, 2539938.Research output: Contribution to journal › Article › peer-review
Open Access -
A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation
National COVID Cohort Collaborative, 2024, In: JMIR Medical Informatics. 12, e49997.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations