AIMC Topic: ROC Curve

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Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.

Artificial intelligence in medicine Mar 31, 2016
OBJECTIVE: Machine learning techniques can be used to extract predictive models for diseases from electronic medical records (EMRs). However, the nature of EMRs makes it difficult to apply off-the-shelf machine learning techniques while still exploit...
Humans Referral and Consultation Electronic Health Records Colorectal Neoplasms ROC Curve Natural Language Processing
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A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.

Journal of medical systems Mar 21, 2016
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of disea...
Diagnosis, Computer-Assisted ROC Curve Support Vector Machine Parkinson Disease Humans Heart Diseases Liver Diseases Algorithms Expert Systems Sensitivity and Specificity
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Genome-enabled prediction using probabilistic neural network classifiers.

BMC genomics Mar 9, 2016
BACKGROUND: Multi-layer perceptron (MLP) and radial basis function neural networks (RBFNN) have been shown to be effective in genome-enabled prediction. Here, we evaluated and compared the classification performance of an MLP classifier versus that o...
Neural Networks, Computer Models, Genetic Phenotype Area Under Curve Zea mays ROC Curve Triticum Genomics Gene-Environment Interaction Polymorphism, Single Nucleotide
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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

IEEE transactions on medical imaging Mar 7, 2016
Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence. A promising alternative is to fine-tune a CNN that ha...
Pulmonary Embolism Colonic Polyps Image Interpretation, Computer-Assisted Computed Tomography Angiography Machine Learning Colonoscopy ROC Curve Diagnostic Imaging Humans Neural Networks, Computer
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Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.

Journal of medical systems Feb 27, 2016
In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in diagnosis of heart arrhythmia. Discrete wavelet transform (DWT) is used to decompose ECG signals into different successive frequency bands. A set of ...
Humans Machine Learning Wavelet Analysis Decision Trees Databases, Factual Principal Component Analysis ROC Curve Arrhythmias, Cardiac Image Processing, Computer-Assisted Heart Rate Electrocardiography
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Symmetry Analysis of Gait between Left and Right Limb Using Cross-Fuzzy Entropy.

Computational and mathematical methods in medicine Feb 24, 2016
The purpose of this paper is the investigation of gait symmetry problem by using cross-fuzzy entropy (C-FuzzyEn), which is a recently proposed cross entropy that has many merits as compared to the frequently used cross sample entropy (C-SampleEn). Fi...
Models, Statistical Gait Extremities Adult Female Support Vector Machine Case-Control Studies Sensitivity and Specificity Humans Reproducibility of Results Fuzzy Logic ROC Curve Male Software Aged Parkinson Disease Middle Aged Algorithms Young Adult Computer Simulation
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Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Feb 13, 2016
OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical decision rules (CDRs) in the form of simple heuristics and scoring systems. In the development of CDRs, limitations in analytic methods and concerns wit...
Aged Aged, 80 and over Adult Male Retrospective Studies Electronic Health Records Female Hospitalization Decision Support Systems, Clinical Logistic Models Emergency Service, Hospital Trauma Centers Middle Aged Sepsis Hospital Mortality ROC Curve Humans Machine Learning
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Machine learning-based classification of diffuse large B-cell lymphoma patients by eight gene expression profiles.

Cancer medicine Feb 11, 2016
Gene expression profiling (GEP) had divided the diffuse large B-cell lymphoma (DLBCL) into molecular subgroups: germinal center B-cell like (GCB), activated B-cell like (ABC), and unclassified (UC) subtype. However, this classification with prognosti...
Cyclophosphamide Support Vector Machine Prednisone Databases, Genetic Doxorubicin Germinal Center Humans Genes, Neoplasm Rituximab Gene Expression Profiling Survival Analysis Prognosis ROC Curve Antibodies, Monoclonal, Murine-Derived Vincristine Female Lymphoma, Large B-Cell, Diffuse Antineoplastic Combined Chemotherapy Protocols Aged Male Treatment Outcome Sensitivity and Specificity Middle Aged
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Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.

PloS one Feb 10, 2016
OBJECTIVE: Quantitative ventricular fibrillation (VF) waveform analysis is a potentially powerful tool to optimize defibrillation. However, whether combining VF features with additional attributes that related to the previous shock could enhance the ...
Out-of-Hospital Cardiac Arrest Neural Networks, Computer Software Retrospective Studies Sensitivity and Specificity Humans Area Under Curve ROC Curve Electric Countershock Signal Processing, Computer-Assisted Electrocardiography Ventricular Fibrillation Treatment Outcome Defibrillators Predictive Value of Tests
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A Systematic Strategy for Screening and Application of Specific Biomarkers in Hepatotoxicity Using Metabolomics Combined With ROC Curves and SVMs.

Toxicological sciences : an official journal of the Society of Toxicology Jan 18, 2016
Current studies that evaluate toxicity based on metabolomics have primarily focused on the screening of biomarkers while largely neglecting further verification and biomarker applications. For this reason, we used drug-induced hepatotoxicity as an ex...
Metabolomics Liver Chromatography, High Pressure Liquid Carbon Tetrachloride Male Chemical and Drug Induced Liver Injury Biomarkers Acetaminophen ROC Curve Sensitivity and Specificity Atorvastatin Rats, Wistar Animals Support Vector Machine
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