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A brief unstructured literature review on the history of paraphilias
This unstructured review is based on a comprehensive literature search leading to a variety of selected studies that summarize the historical...
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Natural History of Keloids: A Sociodemographic Analysis Using Structured and Unstructured Data
IntroductionKeloids are lesions characterized by the growth of dense fibrous tissue extending beyond original wound boundaries. Research into the...
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Deep learning approach to detection of colonoscopic information from unstructured reports
BackgroundColorectal cancer is a leading cause of cancer deaths. Several screening tests, such as colonoscopy, can be used to find polyps or...
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Predictive structured–unstructured interactions in EHR models: A case study of suicide prediction
Clinical risk prediction models powered by electronic health records (EHRs) are becoming increasingly widespread in clinical practice. With...
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The prediction of hospital length of stay using unstructured data
ObjectiveThis study aimed to assess the performance improvement for machine learning-based hospital length of stay (LOS) predictions when clinical...
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Integrating structured and unstructured data for timely prediction of bloodstream infection among children
BackgroundHospitalized children with central venous lines (CVLs) are at higher risk of hospital-acquired infections. Information in electronic health...
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More than three times as many Indigenous Australian clients at risk from drinking could be supported if clinicians used AUDIT-C instead of unstructured assessments
BackgroundAboriginal and Torres Strait Islander (‘Indigenous’) Australians experience a greater burden of disease from alcohol consumption than...
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Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon
BackgroundThe new concept of difficult-to-treat rheumatoid arthritis (D2T RA) refers to RA patients who remain symptomatic after several lines of...
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A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance
BackgroundDischarge medical notes written by physicians contain important information about the health condition of patients. Many deep learning...
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Leveraging unstructured data to identify hereditary angioedema patients in electronic medical records
BackgroundThe epidemiologic impact of hereditary angioedema (HAE) is difficult to quantify, due to misclassification in retrospective studies...
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Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data
BackgroundLow back pain (LBP) is a common condition made up of a variety of anatomic and clinical subtypes. Lumbar disc herniation (LDH) and lumbar...
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A tree based approach for multi-class classification of surgical procedures using structured and unstructured data
BackgroundIn surgical department, CPT code assignment has been a complicated manual human effort, that entails significant related knowledge and...
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Combining structured and unstructured data in EMRs to create clinically-defined EMR-derived cohorts
BackgroundThere have been few studies describing how production EMR systems can be systematically queried to identify clinically-defined populations...
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Combining structured and unstructured data for predictive models: a deep learning approach
BackgroundThe broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various...
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Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records
PurposePredictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This...
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Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning
BackgroundExtracting metastatic information from previous radiologic-text reports is important, however, laborious annotations have limited the...
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Develo** an Unstructured Supplementary Service Data-based mobile phone app to provide adolescents with sexual reproductive health information: a human-centered design approach
BackgroundAdolescent pregnancies and sexually-transmitted infections continue to impact 15 – 19-year-olds across the globe. The lack of sexual...
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Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
BackgroundNext-generation sequencing provides comprehensive information about individuals’ genetic makeup and is commonplace in oncology clinical...
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A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports
The aim of this study is to develop an automated classification method for Brain Tumor Reporting and Data System (BT-RADS) categories from...
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Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples
BackgroundUnstructured data from clinical epidemiological studies can be valuable and easy to obtain. However, it requires further extraction and...
