AIMC Topic: Datasets as Topic

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Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Medically complex patients consume a disproportionate amount of care resources in hospitals but still often end up with sub-optimal clinical outcomes. Predicting dynamics of complexity in such patients can potentially help improve the quality of care...
Humans Neural Networks, Computer Patient Acuity Data Mining Datasets as Topic Clinical Coding Child Health Services Electronic Health Records Child ROC Curve Logistic Models Longitudinal Studies Area Under Curve
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Clinical Named Entity Recognition Using Deep Learning Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Clinical Named Entity Recognition (NER) is a critical natural language processing (NLP) task to extract important concepts (named entities) from clinical narratives. Researchers have extensively investigated machine learning models for clinical NER. ...
Datasets as Topic Neural Networks, Computer Deep Learning Medical Records Natural Language Processing
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Stage-Specific Survivability Prediction Models across Different Cancer Types.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
For all cancer types, survivability rates vary widely across different stages of cancer. But survivability prediction models built in past were trained using examples of all stages together and were also evaluated on all stages together. In this work...
Machine Learning Survival Analysis Humans Prognosis ROC Curve Datasets as Topic Neoplasms Models, Theoretical Neoplasm Staging
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Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioid-related overdose deaths increasing almost fourfold since 2000. To more effectively prevent unintentional opioid overdoses, the medical profession re...
False Positive Reactions Analgesics, Opioid Opioid-Related Disorders Datasets as Topic Humans Electronic Health Records Support Vector Machine Population Surveillance Natural Language Processing
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Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large...
Machine Learning Algorithms Psychiatry Data Anonymization Humans Electronic Health Records Outpatients Datasets as Topic Diabetes Mellitus Patient Discharge Summaries Natural Language Processing
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Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Data augmentation is an essential part of training discriminative Convolutional Neural Networks (CNNs). A variety of augmentation strategies, including horizontal flips, random crops, and principal component analysis (PCA), have been proposed and sho...
Data Visualization Datasets as Topic Image Enhancement Radiology Information Systems Humans Neural Networks, Computer Deep Learning Mammography Diagnostic Imaging
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Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide during adolescence. Yet, there is limited evidence concerning risk factors for suicidality in childhood ASD. Electronic health records (EHRs) can be use...
Humans Data Analysis Adolescent Suicidal Ideation Natural Language Processing Datasets as Topic Autism Spectrum Disorder Electronic Health Records Risk Factors Information Storage and Retrieval London
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Deep Learning Solutions for Classifying Patients on Opioid Use.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Opioid analgesics, as commonly prescribed medications used for relieving pain in patients, are especially prevalent in US these years. However, an increasing amount of opioid misuse and abuse have caused lots of consequences. Researchers and clinicia...
Practice Patterns, Physicians' Drug Prescriptions Analgesics, Opioid Opioid-Related Disorders Aged Datasets as Topic Young Adult Neural Networks, Computer Adult Electronic Health Records Deep Learning Female Male Humans Adolescent Middle Aged
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Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by clinicians during patient encounters. These reports contain rich clinical information which can be le...
Surgical Wound Infection Abdomen Natural Language Processing Datasets as Topic Humans Radiography Radiology Information Systems Reference Standards Machine Learning Vocabulary, Controlled Electronic Health Records
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Intelligent Word Embeddings of Free-Text Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Radiology reports are a rich resource for advancing deep learning applications in medicine by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to th...
Humans Datasets as Topic Semantics Intracranial Hemorrhages Radiology Information Systems Machine Learning Electronic Health Records Natural Language Processing
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