AIMC Topic: ROC Curve
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Knowledge base and mini-expert platform for the diagnosis of inborn errors of metabolism.
Genetics in medicine : official journal of the American College of Medical Genetics
Jul 20, 2017
PurposeRecognizing individuals with inherited diseases can be difficult because signs and symptoms often overlap those of common medical conditions. Focusing on inborn errors of metabolism (IEMs), we present a method that brings the knowledge of high...
Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning.
International journal of neural systems
Jul 16, 2017
In this study, we propose an automated framework that combines diffusion tensor imaging (DTI) metrics with machine learning algorithms to accurately classify control groups and groups with cervical spondylotic myelopathy (CSM) in the spinal cord. The...
Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma.
Scientific reports
Jul 14, 2017
Deep learning-based radiomics (DLR) was developed to extract deep information from multiple modalities of magnetic resonance (MR) images. The performance of DLR for predicting the mutation status of isocitrate dehydrogenase 1 (IDH1) was validated in ...
Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.
PloS one
Jul 14, 2017
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proacti...
Reliability of an automatic classifier for brain enlarged perivascular spaces burden and comparison with human performance.
Clinical science (London, England : 1979)
Jun 28, 2017
In the brain, enlarged perivascular spaces (PVS) relate to cerebral small vessel disease (SVD), poor cognition, inflammation and hypertension. We propose a fully automatic scheme that uses a support vector machine (SVM) to classify the burden of PVS ...
Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.
Revista de saude publica
Jun 22, 2017
OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State.
Feature fusion for lung nodule classification.
International journal of computer assisted radiology and surgery
Jun 16, 2017
PURPOSE: This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning.
Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Cancer letters
Jun 10, 2017
We aimed to identify optimal machine-learning methods for radiomics-based prediction of local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled 110 patients with advanced NPC. A total of 970 radiomic features were ex...
Predictive Value of Tests
Area Under Curve
Carcinoma
High-Throughput Screening Assays
Image Interpretation, Computer-Assisted
Linear Models
Risk Assessment
Treatment Failure
Diagnosis, Computer-Assisted
Nasopharyngeal Carcinoma
Humans
ROC Curve
Nasopharyngeal Neoplasms
Decision Support Techniques
Support Vector Machine
Reproducibility of Results
Magnetic Resonance Imaging
Risk Factors
Automated Spirometry Quality Assurance: Supervised Learning From Multiple Experts.
IEEE journal of biomedical and health informatics
Jun 8, 2017
Forced spirometry testing is gradually becoming available across different healthcare tiers including primary care. It has been demonstrated in earlier work that commercially available spirometers are not fully able to assure the quality of individua...
Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.
Alimentary pharmacology & therapeutics
Jun 6, 2017
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in developed countries and is an increasingly important cause of hepatocellular carcinoma. Electronic medical records facilitate large-scale epidemiologic...
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