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Six Machine-Learning Methods for Predicting Hospital-Stay Durations for Patients with Sepsis: A Comparative Study
Webinar
Sepsis is a life-threatening medical condition that, if not treated promptly, can result in tissue damage, organ failure, and death. According to the Centers for Disease Control, about 270,000 individuals die of sepsis in the United States each year. Further, sepsis expenditures accounted for 13% of total US hospital costs in 2013, totaling more than $24 billion.
Harvard Medical School
Our educational programs advance Harvard Medical School's core mission to alleviate human suffering by nurturing a diverse group of leaders and future leaders in both clinical care and biomedical inquiry. These individuals are on the front lines of medicine and science serving individuals and populations locally, nationally, and globally.
Development of a Natural Language Processing System for Extracting Rheumatoid Arthritis Outcomes From Clinical Notes Using the National Rheumatology Informatics System for Effectiveness Registry
Webinar
Patient reported outcomes (PROs) include any report of the status of a patient's health condition that comes directly from the patient, without interpretation of the patient's response by a clinician or anyone else. PROs for functional status information describes the patient's physical and mental wellness at the whole-person level (as opposed to the cellular or organ level).
JAMIA Journal Club Webinar - October 2023
JAMIA Journal Club
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO) Read the abstract Watch the Recording Presenters Statement of Purpose As the significance of Social Determinants of Health (SDoH) becomes increasingly acknowledged, non-medical factors surrounding us profoundly influence our health outcomes. In this growing field, our work serves [...]
Carnegie Mellon University
Many institutions have jumped on the data analytics bandwagon in recent years. But we've been here for decades. The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is a graduate school without boundaries, using the latest in analytical methods to solve problems at the critical nexus [...]
