Savova, Guergana K.

Extracting information from textual documents in the electronic health record: a review of recent research

Savova, G. K., Kipper-Schuler, K. C., Hurdle, J. F., & Meystre, S. M. (2008) · Yearbook of Medical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 895

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, J., Afshar, M., Ameen, S., Aphinyanaphongs, Y., Chen, S., Cacciamani, G., Demner-Fushman, D., Dligach, D., Daneshjou, R., Fernandes, C., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 615

Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

Chapman, W. W., Nadkarni, P. M., Hirschman, L., D'Avolio, L. W., Savova, G. K., & Uzuner, O. (2011) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 296

Large language models to identify social determinants of health in electronic health records

Guevara, M., Chen, S., Thomas, S., Chaunzwa, T. L., Franco, I., Kann, B. H., Moningi, S., Qian, J. M., Goldstein, M., Harper, S., et al. (2024) · npj Digital Medicine

Machine Learning in HealthcareTopic Modeling

Cited by 278

Use of Artificial Intelligence Chatbots for Cancer Treatment Information

Chen, S., Kann, B. H., Foote, M. B., Aerts, H. J. W. L., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JAMA Oncology

Artificial Intelligence in Healthcare and EducationClinical practice guidelines implementation

Cited by 251

Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

Savova, G. K., Danciu, I., Alamudun, F., Miller, T., Lin, C., Bitterman, D. S., Tourassi, G., & Warner, J. L. (2019) · Cancer Research

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 170

The effect of using a large language model to respond to patient messages

Chen, S., Guevara, M., Moningi, S., Hoebers, F., Elhalawani, H., Kann, B. H., Chipidza, F. E., Leeman, J., Aerts, H. J. W. L., Miller, T., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 147

Psychiatric co‐morbidity is associated with increased risk of surgery in Crohn's disease

Ananthakrishnan, A. N., Gainer, V. S., Perez, R. G., Cai, T., Cheng, S. ‐., Savova, G., Chen, P., Szolovits, P., Xia, Z., De Jager, P. L., et al. (2013) · Alimentary Pharmacology & Therapeutics

Inflammatory Bowel DiseaseTryptophan and brain disorders

Cited by 122

An Introduction to Natural Language Processing: How You Can Get More From Those Electronic Notes You Are Generating

Kimia, A. A., Savova, G., Landschaft, A., & Harper, M. B. (2015) · Pediatric Emergency Care

Biomedical Text Mining and OntologiesElectronic Health Records Systems

Cited by 103

Large-scale identification of patients with cerebral aneurysms using natural language processing

Castro, V. M., Dligach, D., Finan, S., Yu, S., Can, A., Abd-El-Barr, M., Gainer, V., Shadick, N. A., Murphy, S., Cai, T., et al. (2017) · Neurology

Machine Learning in HealthcareIntracranial Aneurysms: Treatment and Complications

Cited by 98

Evaluating the ChatGPT family of models for biomedical reasoning and classification

Chen, S., Li, Y., Lu, S., Van, H., Aerts, H. J. W. L., Savova, G. K., & Bitterman, D. S. (2024) · Journal of the American Medical Informatics Association

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 91

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification

Chen, S., Li, Y., Lu, S., Van, H., Aerts, H. J., Savova, G. K., & Bitterman, D. S. (2023) · arXiv

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 91

Identification of subjects with polycystic ovary syndrome using electronic health records

Castro, V., Shen, Y., Yu, S., Finan, S., Pau, C. T., Gainer, V., Keefe, C. C., Savova, G., Murphy, S. N., Cai, T., et al. (2015) · Reproductive Biology and Endocrinology

Ovarian function and disordersMedical Coding and Health Information

Cited by 51

Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy

Chen, S., Guevara, M., Ramirez, N., Murray, A., Warner, J. L., Aerts, H. J. W. L., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 20

Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes

Derton, A., Guevara, M., Chen, S., Moningi, S., Kozono, D. E., Liu, D., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics

Machine Learning in HealthcareComputational and Text Analysis Methods

Cited by 8