AIMC Topic: Electronic Health Records

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Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Radiology Jun 18, 2019
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and...
Humans Deep Learning Mammography Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Middle Aged Retrospective Studies Electronic Health Records Female
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Multitask learning and benchmarking with clinical time series data.

Scientific data Jun 17, 2019
Health care is one of the most exciting frontiers in data mining and machine learning. Successful adoption of electronic health records (EHRs) created an explosion in digital clinical data available for analysis, but progress in machine learning for ...
Data Mining Databases, Factual Electronic Health Records Benchmarking Humans Machine Learning
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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics Jun 13, 2019
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...
Humans Algorithms Electronic Health Records Knowledge Bases Probability Disease Diagnostic Techniques and Procedures ROC Curve Area Under Curve Bayes Theorem
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Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record Systems.

Ethnicity & disease Jun 13, 2019
OBJECTIVE: To create a natural language processing (NLP) algorithm to identify transgender patients in electronic health records.
Adult Male Middle Aged Adolescent Child Natural Language Processing Transgender Persons Female Aged Aged, 80 and over Young Adult Humans Algorithms Electronic Health Records
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Natural Language Processing to Quantify Microbial Keratitis Measurements.

Ophthalmology Jun 11, 2019
A natural language processing (NLP) algorithm to extract microbial keratitis morphology measurements from the electronic health record (EHR) was 75-96% sensitive and 91%-96% specific. NLP accurately extracts data from the corneal exam free-text EHR f...
Humans Natural Language Processing Eye Infections, Bacterial Corneal Ulcer Electronic Health Records Reproducibility of Results Sensitivity and Specificity
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An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Vital Signs Normal Distribution Heart Arrest Monitoring, Ambulatory APACHE Multivariate Analysis Middle Aged Severity of Illness Index Case-Control Studies Sepsis Adolescent Incidence Decision Trees Young Adult Adult Sensitivity and Specificity Male Electronic Health Records Female Reproducibility of Results Humans Machine Learning Algorithms
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Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

International journal of medical informatics Jun 8, 2019
BACKGROUND: Last-minute surgery cancellation represents a major wastage of resources and can cause significant inconvenience to patients. Our objectives in this study were: 1) To develop predictive models of last-minute surgery cancellation, utilizin...
Humans Machine Learning Electronic Health Records Data Mining General Surgery Child ROC Curve Logistic Models
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Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition.

International journal of medical informatics Jun 5, 2019
BACKGROUND: This work deals with Natural Language Processing applied to the clinical domain. Specifically, the work deals with a Medical Entity Recognition (MER) on Electronic Health Records (EHRs). Developing a MER system entailed heavy data preproc...
Electronic Health Records Natural Language Processing Semantics Subject Headings Neural Networks, Computer Algorithms
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Statistical supervised meta-ensemble algorithm for medical record linkage.

Journal of biomedical informatics May 31, 2019
Identifying unique patients across multiple care facilities or services is a major challenge in providing continuous care and undertaking health research. Identifying and linking patients without compromising privacy and security is an emerging issue...
Child Supervised Machine Learning Medical Record Linkage Electronic Health Records Female Infant, Newborn Aged Humans Algorithms Databases, Factual Middle Aged Infant Adolescent Child, Preschool Young Adult Adult Male
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Supervised methods to extract clinical events from cardiology reports in Italian.

Journal of biomedical informatics May 28, 2019
Clinical narratives are a valuable source of information for both patient care and biomedical research. Given the unstructured nature of medical reports, specific automatic techniques are required to extract relevant entities from such texts. In the ...
Italy Data Mining Heart Diseases Semantics Humans Neural Networks, Computer Electronic Health Records Natural Language Processing
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