Contact Information klaskyhb@ornl.gov 865.574.7602 orcid.org/0000-0001-7235-2521 Key Links Co-author of the article Accelerated training of bootstrap aggregation-based de… IEEE Process Mining Task Force: Process Mining Camp 2020 Presentation AMIA 2020 Virtual Informatics Summit Presentation Related Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing for Health Sciences Section Multimodal Data Analytics Group Hilda B Klasky Senior R&D Staff Download CV All Publications Process Mining in Healthcare - A case study... Process mining for healthcare: Characteristics and challenges... Comparative Assessment of Data-driven Process Models in Health Information Technology... VA EDH Data Curation Documentation FY23-Q1... Detecting anomalous sequences in electronic health records using higher-order tensor networks... VA EDH Data Curation Documentation FY22-Q4... A Systematic Review of Healthcare Information Technology Anomaly Classification... Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs... VA EDH Data Curation Documentation FY22-Q3... Six Machine-Learning Methods for Predicting Hospital-Stay Duration for Patients with Sepsis: A Comparative Study... VA EDH Data Curation Documentation FY22-Q2, Rev. 2... VA EDH Data Curation Documentation – FY21, Rev. 2... CTSA MHRI Datasets... Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer ... VA EDH Data Curation Documentation FY22-Q1, Rev. 2... A new methodological framework for hazard detection models in health information technology systems... ICAPA-HD: Hazard Detection Methods for Improving Overdose Prevention... Quantifying Vulnerability of Privacy Attacks toward the MT-CNN models for Information Extraction from Cancer Pathology Report... Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles... Adaptive Anomaly Detection for Dynamic Clinical Event Sequences... Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports... Anomaly Detection in Sequential Health Care Data using Higher-Order Network Representation... Detection of Anomalous Events in Electronic Health Records... Feature Engineering and Process Mining to Enable Hazard Detection in Health Information Technology... REAL-TIME AUTOMATED HEALTH INFORMATION TECHNOLOGY HAZARD DETECTION... Pagination Current page 1 Page 2 Next page ›› Last page Last »
