AIMC Topic: Electronic Health Records

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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Humans Machine Learning Time Factors ROC Curve Follow-Up Studies Patient Readmission Illinois Female Male Middle Aged Risk Assessment Retrospective Studies Critical Illness Intensive Care Units Electronic Health Records
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Applying Machine Learning to Pediatric Critical Care Data.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Jul 1, 2018
OBJECTIVES: To explore whether machine learning applied to pediatric critical care data could discover medically pertinent information, we analyzed clinically collected electronic medical record data, after data extraction and preparation, using k-me...
Critical Care Information Dissemination Machine Learning Electronic Health Records Intensive Care Units, Pediatric
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Algorithms Renal Replacement Therapy Acute Kidney Injury Electronic Health Records Humans Machine Learning ROC Curve Models, Statistical Area Under Curve Creatinine Female Reproducibility of Results Male Middle Aged
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Collaborative and Reproducible Research: Goals, Challenges, and Strategies.

Journal of digital imaging Jun 1, 2018
Combining imaging biomarkers with genomic and clinical phenotype data is the foundation of precision medicine research efforts. Yet, biomedical imaging research requires unique infrastructure compared with principally text-driven clinical electronic ...
Workflow Goals Cooperative Behavior Humans Machine Learning Research Electronic Health Records Image Processing, Computer-Assisted Diagnostic Imaging
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Expanding a radiology lexicon using contextual patterns in radiology reports.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2018
OBJECTIVE: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lex...
Software Algorithms Databases, Factual Electronic Health Records Humans Radiology Information Systems Vocabulary, Controlled Natural Language Processing Radiology Data Mining Semantics
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SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

Journal of the American Medical Informatics Association : JAMIA May 1, 2018
OBJECTIVE: Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical i...
State Medicine Clinical Trials as Topic Patient Selection United Kingdom Information Storage and Retrieval Semantics Humans Electronic Health Records Natural Language Processing
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Opportunities and obstacles for deep learning in biology and medicine.

Journal of the Royal Society, Interface Apr 1, 2018
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine ar...
Delivery of Health Care Electronic Health Records Biomedical Research Drug Design Disease Deep Learning Humans Decision Making Algorithms Terminology as Topic Biomedical Technology
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Use of text-mining methods to improve efficiency in the calculation of drug exposure to support pharmacoepidemiology studies.

International journal of epidemiology Apr 1, 2018
BACKGROUND: Efficient generation of structured dose instructions that enable researchers to calculate drug exposure is central to pharmacoepidemiology studies. Our aim was to design and test an algorithm to codify dose instructions, applied to the NH...
Scotland Prescriptions Data Mining National Health Programs Pharmacoepidemiology Humans Electronic Health Records Natural Language Processing
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Critical Illness Intensive Care Units Electronic Health Records Female Aged Male Middle Aged Comorbidity Humans Machine Learning Age Factors Blood Pressure Heart Rate ROC Curve Sex Factors Decision Support Systems, Clinical Severity of Illness Index Socioeconomic Factors Academic Medical Centers Sepsis Electrocardiography Time Factors Time-to-Treatment Hospital Mortality Organ Dysfunction Scores Vital Signs
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Deep learning for biology.

Nature Feb 22, 2018
Image Interpretation, Computer-Assisted Genomics Software Plants Rodentia Polymorphism, Single Nucleotide Biology Electronic Health Records Humans Robotics Microscopy Animals Diagnostic Imaging Neural Networks, Computer Quality Control Drug Discovery Machine Learning
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