Angela Laurio

A Systematic Review of Healthcare Information Technology Anomaly Classification

Hilda B. Klasky, Jeanie M. Scott, T. Kuruganti, 2022, 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).

Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs

Hilda B. Klasky, Jeanie M. Scott, T. Kuruganti, 2022, 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).

Detecting anomalous sequences in electronic health records using higher-order tensor networks

Hilda B. Klasky, M. Langston, J. Nebeker, 2022, J. Biomed. Informatics.

INCIDENCE, RISK FACTORS, AND PREDICTION OF GASTROINTESTINAL AND INTRACRANIAL BLEEDING IN A COHORT OF OLDER VETERANS PRESCRIBED ORAL ANTICOAGULANTS

Angela Laurio, 2017 .

Topic Modeling to Discern Irregular Order Patterns in Unlabeled Electronic Health Records

Hilda B. Klasky, P. Teja Kuruganti, Mohammed M. Olama, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

A new methodological framework for hazard detection models in health information technology systems

Frank Drews, Hilda B. Klasky, Teja Kuruganti, 2021, J. Biomed. Informatics.

Real-Time Automated Hazard Detection Framework for Health Information Technology Systems

Hilda B. Klasky, Laura L. Pullum, James J. Nutaro, 2019, Health systems.

EHR-BERT: A BERT-based model for effective anomaly detection in electronic health records

O. Omitaomu, Ozgur Ozmen, M. Ward, 2024, Journal of Biomedical Informatics.

Adaptive Anomaly Detection for Dynamic Clinical Event Sequences

Hilda B. Klasky, Jeanie M. Scott, F. Drews, 2020, 2020 IEEE International Conference on Big Data (Big Data).