AIMC Topic: Boston

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Creation of a new longitudinal corpus of clinical narratives.

Journal of biomedical informatics Oct 1, 2015
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus contains three cohorts: patients who have a diagnosis of coronary artery disease (C...
Data Mining Computer Security Vocabulary, Controlled Diabetes Complications Boston Cohort Studies Narration Natural Language Processing Coronary Artery Disease Confidentiality Humans Male Electronic Health Records Middle Aged Female Risk Assessment Aged Comorbidity Incidence
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Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.

Journal of biomedical informatics Jul 22, 2015
The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identifying medical risk factors related to Coronary Artery Disease (CAD) in the narratives of longitudinal medical records of diabetic patients. The risk f...
Humans Electronic Health Records Female Aged Male Middle Aged Risk Assessment Comorbidity Incidence Cohort Studies Boston Data Mining Pattern Recognition, Automated Computer Security Longitudinal Studies Vocabulary, Controlled Narration Diabetes Complications Natural Language Processing Coronary Artery Disease Confidentiality
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Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics May 21, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...
Pattern Recognition, Automated Computer Security Vocabulary, Controlled Diabetes Complications Humans Boston Electronic Health Records Coronary Artery Disease Female Confidentiality Data Mining Documentation New York Incidence Aged Cohort Studies Male Longitudinal Studies Middle Aged Narration Risk Assessment Natural Language Processing Comorbidity
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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine Nov 24, 2014
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...
Severity of Illness Index Reproducibility of Results Humans Hospital Mortality Aged ROC Curve Aged, 80 and over Machine Learning Risk Male Boston Middle Aged Algorithms Intensive Care Units Female
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Prediction of hospitalization due to heart diseases by supervised learning methods.

International journal of medical informatics Oct 16, 2014
BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GDP. 31% of this expenditure is attributed to hospital care. Evidently, even modest reductions in hospital care costs matter. A 2009 study showed that n...
Likelihood Functions Boston Risk Assessment ROC Curve Humans Logistic Models Artificial Intelligence Bayes Theorem Algorithms Heart Diseases Electronic Health Records Hospitalization
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Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.

Radiology Sep 1, 2024
Background It is increasingly recognized that interstitial lung abnormalities (ILAs) detected at CT have potential clinical implications, but automated identification of ILAs has not yet been fully established. Purpose To develop and test automated I...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Probability Boston Female Aged Male Middle Aged Lung
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Predicting ventilator-associated pneumonia with machine learning.

Medicine Jun 11, 2021
Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive care units (ICUs). Existing methods for identifying VAP display low accuracy, and their use may delay antimicrobial therapy. VAP diagnostics derived ...
Boston Sensitivity and Specificity Male Middle Aged Respiration, Artificial Pneumonia, Ventilator-Associated Humans Machine Learning Forecasting Retrospective Studies Intensive Care Units Electronic Health Records Female Aged Aged, 80 and over Adult
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Avoidable Serum Potassium Testing in the Cardiac ICU: Development and Testing of a Machine-Learning Model.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Apr 1, 2021
OBJECTIVES: To create a machine-learning model identifying potentially avoidable blood draws for serum potassium among pediatric patients following cardiac surgery.
Retrospective Studies Humans Intensive Care Units Machine Learning Child Potassium Boston
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Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

Clinical orthopaedics and related research Feb 1, 2020
BACKGROUND: A preoperative estimation of survival is critical for deciding on the operative management of metastatic bone disease of the extremities. Several tools have been developed for this purpose, but there is room for improvement. Machine learn...
Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Humans Risk Assessment Time Factors Treatment Outcome Bone Neoplasms Predictive Value of Tests Reproducibility of Results Risk Factors Aged Male Middle Aged Patient Selection Orthopedic Procedures Boston
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Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability.

Critical care medicine Jul 1, 2017
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU patients based on heart rate variability.
Support Vector Machine Heart Rate Anesthesia Boston Humans Algorithms Intensive Care Units Female Aged Male Middle Aged Respiration, Artificial Pilot Projects Electrocardiography
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