AIMC Topic: ROC Curve

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A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer.

Computational and mathematical methods in medicine Aug 23, 2016
Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. There...
Mass Spectrometry Early Detection of Cancer Ovarian Neoplasms Principal Component Analysis Humans Female Reproducibility of Results Sensitivity and Specificity ROC Curve Image Processing, Computer-Assisted Support Vector Machine
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Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Journal of psychiatric research Aug 15, 2016
Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive disorders is unclear. Our objective was to evaluate whether problematic internet use can be predicted f...
Humans Machine Learning Aged, 80 and over Young Adult Adult Male Middle Aged Psychiatry Female Reproducibility of Results Aged Obsessive-Compulsive Disorder Behavior, Addictive Compulsive Behavior Predictive Value of Tests South Africa Internet Online Systems Surveys and Questionnaires Adolescent ROC Curve United States
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Development of Health Parameter Model for Risk Prediction of CVD Using SVM.

Computational and mathematical methods in medicine Aug 9, 2016
Current methods of cardiovascular risk assessment are performed using health factors which are often based on the Framingham study. However, these methods have significant limitations due to their poor sensitivity and specificity. We have compared th...
Humans Linear Models Machine Learning Pattern Recognition, Automated Algorithms Eye Middle Aged Aged Databases, Factual Support Vector Machine Risk Assessment Sensitivity and Specificity Female Australia Cohort Studies Male Regression Analysis ROC Curve Cardiovascular Diseases Outcome Assessment, Health Care Genetic Predisposition to Disease
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Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

Journal of the American Medical Informatics Association : JAMIA Aug 7, 2016
OBJECTIVE: Phenotyping algorithms applied to electronic health record (EHR) data enable investigators to identify large cohorts for clinical and genomic research. Algorithm development is often iterative, depends on fallible investigator intuition, a...
Machine Learning Hypertension Algorithms Blood Pressure Determination Phenotype Aged Natural Language Processing Electronic Health Records Male Humans Information Storage and Retrieval Female Middle Aged Clinical Coding ROC Curve
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Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 1, 2016
Diabetic retinopathy (DR) is a progressive disease, and its detection at an early stage is crucial for saving a patient's vision. An automated screening system for DR can help in reduce the chances of complete blindness due to DR along with lowering ...
Pattern Recognition, Automated False Positive Reactions Microaneurysm Humans Diabetic Retinopathy Machine Learning ROC Curve Area Under Curve Image Interpretation, Computer-Assisted
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Machine Learning of Protein Interactions in Fungal Secretory Pathways.

PloS one Jul 21, 2016
In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer setting, where training data is obtained from a single species and the objective is to predict prote...
Algorithms ROC Curve Protein Interaction Maps Evolution, Molecular Databases, Protein Amino Acid Sequence Fungal Proteins Saccharomyces cerevisiae Trichoderma Machine Learning Protein Interaction Mapping Genome, Fungal Secretory Pathway
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Receiver operating curves and dose-volume analysis of late toxicity with stereotactic body radiation therapy for prostate cancer.

Practical radiation oncology Jul 17, 2016
PURPOSE: The purpose of this study was to evaluate a receiver operating characteristic (ROC) curve method to determine dose thresholds with late genitourinary (GU) toxicity after stereotactic body radiation therapy for prostate cancer.
Middle Aged Radiosurgery Humans ROC Curve Urogenital System Retrospective Studies Prostatic Neoplasms Aged Radiotherapy Dosage Male
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gDNA-Prot: Predict DNA-binding proteins by employing support vector machine and a novel numerical characterization of protein sequence.

Journal of theoretical biology Jul 1, 2016
DNA-binding proteins are the functional proteins in cells, which play an important role in various essential biological activities. An effective and fast computational method gDNA-Prot is proposed to predict DNA-binding proteins in this paper, which ...
Amino Acid Sequence Genome Numerical Analysis, Computer-Assisted DNA Models, Molecular Protein Domains DNA-Binding Proteins ROC Curve Computational Biology Support Vector Machine Databases, Protein Principal Component Analysis
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A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging.

Neuroscience Jun 22, 2016
Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's disease (AD). Non-invasive diagnostic methods are desirable to identify MCI for early therapeutic interventions. In this study, we proposed a support...
Magnetic Resonance Imaging Area Under Curve Image Interpretation, Computer-Assisted Mental Status Schedule Humans Middle Aged Cognitive Dysfunction Brain ROC Curve Female Support Vector Machine Aged Male
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Seizure Forecasting and the Preictal State in Canine Epilepsy.

International journal of neural systems Jun 14, 2016
The ability to predict seizures may enable patients with epilepsy to better manage their medications and activities, potentially reducing side effects and improving quality of life. Forecasting epileptic seizures remains a challenging problem, but ma...
Area Under Curve Epilepsy Seizures Prognosis Signal Processing, Computer-Assisted Dogs Animals Machine Learning Electrocorticography Time Factors Wireless Technology ROC Curve Electrodes, Implanted Disease Models, Animal
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