AIMC Topic: Humans

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Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The identification of drug-drug interactions (DDIs) is important for patient safety; yet, compared to other pharmacovigilance work, a limited amount of research has been conducted in this space. Recent work has successfully applied a method of derivi...
Semantics Polypharmacy Data Visualization Neural Networks, Computer Algorithms Computational Biology Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Models, Biological Drug Interactions Humans
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Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment outcomes and quality of life. Early detection of cancer patients at risk for cardiotoxicity before cardiotoxic treatments and providing preventive mea...
Antineoplastic Agents Aged Neoplasms Heart Failure Aged, 80 and over Humans Male Quality of Life Machine Learning Electronic Health Records Adult Middle Aged Algorithms Female Risk Factors
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Achievability to Extract Specific Date Information for Cancer Research.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Accurate identification of temporal information such as date is crucial for advancing cancer research which often requires precise date information associated with related cancer events. However, there is a gap for existing natural language processin...
Humans Electronic Health Records Biomedical Research Neoplasms Medical Oncology Multiple Myeloma Information Storage and Retrieval Time Lung Neoplasms Natural Language Processing Data Collection
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Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes undetected. Continuous glucose monitoring (CGM) devices have enabled prediction of impending nocturnal hypoglycemia, however, prior efforts have been li...
Monitoring, Ambulatory Machine Learning Blood Glucose Insulin Area Under Curve Humans ROC Curve Hypoglycemia Models, Biological Diabetes Mellitus, Type 1 Blood Glucose Self-Monitoring Hypoglycemic Agents
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Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The goal of this study was to investigate the application of machine learning models capable of capturing multiplica tive and temporal clinical risk factors for outcome prediction inpatients with aneurysmal subarachnoid hemorrhage (aSAH). We examined...
Cohort Studies ROC Curve Logistic Models Subarachnoid Hemorrhage Machine Learning Treatment Outcome Humans Prognosis Area Under Curve Neural Networks, Computer Risk Factors
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Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap) smear data. It is an effective technique for collecting a majority of the cervical cells and aiding cytopathologists in locating abnormal cells. Mos...
Uterine Cervical Neoplasms Papanicolaou Test Deep Learning Humans Vaginal Smears ROC Curve Datasets as Topic Cervix Uteri Neural Networks, Computer Female
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Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allo...
Humans Natural Language Processing Sensitivity and Specificity Surgical Wound Infection Logistic Models Machine Learning Information Storage and Retrieval Support Vector Machine Algorithms Decision Trees Electronic Health Records
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FHIR OWL: Transforming OWL ontologies into FHIR terminology resources.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The FHIR specification provides a mechanism to access clinical terminologies using a standard API, and many existing terminologies, such as SNOMED CT, are well supported. However, in areas such as genomics, terminologies from other domains are starti...
Health Information Interoperability Terminology as Topic Vocabulary, Controlled Genomics Biological Ontologies Humans
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Interpretation of machine learning predictions for patient outcomes in electronic health records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we report an empirical study of predictive modeling of seven patient outcom...
Models, Statistical Patient Outcome Assessment Male Electronic Health Records Logistic Models Female Humans Models, Theoretical Machine Learning
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HarborBot: A Chatbot for Social Needs Screening.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Accessing patients' social needs is a critical challenge at emergency departments (EDs). However, most EDs do not have extra staff to administer screeners, and without personnel administration, response rates are low especially for low health literac...
Humans Artificial Intelligence Software Surveys and Questionnaires Social Determinants of Health Comprehension Health Literacy Attitude to Computers Mass Screening Emergency Service, Hospital Patient Satisfaction
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