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Area Under Curve

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Electronic medical record phenotyping using the anchor and learn framework.

Journal of the American Medical Informatics Association : JAMIA Apr 23, 2016
BACKGROUND: Electronic medical records (EMRs) hold a tremendous amount of information about patients that is relevant to determining the optimal approach to patient care. As medicine becomes increasingly precise, a patient's electronic medical record...
Natural Language Processing Area Under Curve Emergency Service, Hospital Databases as Topic Decision Making, Computer-Assisted Humans Machine Learning Phenotype Electronic Health Records
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Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

International journal of neural systems Apr 4, 2016
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...
Image Interpretation, Computer-Assisted Datasets as Topic Early Diagnosis Pattern Recognition, Automated Gray Matter Humans Unsupervised Machine Learning Brain Area Under Curve Male Female Alzheimer Disease Disease Progression Aged Positron-Emission Tomography Cognitive Dysfunction ROC Curve Imaging, Three-Dimensional
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The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

Computational and mathematical methods in medicine Apr 3, 2016
Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan. However, the quality of the training set may reduce because of mixing with the wrong docking poses and it will affect the screening efficiencies. To...
Cathepsin K Binding Sites Combinatorial Chemistry Techniques Crystallization Protein Conformation Chemistry, Pharmaceutical Hydrogen Humans Proteins Software Imaging, Three-Dimensional Databases, Protein Area Under Curve Protein Binding Ligands Computational Biology Algorithms Support Vector Machine Reproducibility of Results Models, Statistical Drug Design ROC Curve
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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 Area Under Curve Zea mays Phenotype Triticum ROC Curve Gene-Environment Interaction Genomics Polymorphism, Single Nucleotide
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Texture Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived Retinal Pigmented Epithelium.

PloS one Feb 19, 2016
AIMS: A fast, non-invasive and observer-independent method to analyze the homogeneity and maturity of human pluripotent stem cell (hPSC) derived retinal pigment epithelial (RPE) cells is warranted to assess the suitability of hPSC-RPE cells for impla...
Humans Algorithms Female Reproducibility of Results Animals Male Cell Differentiation Datasets as Topic Support Vector Machine Retinal Pigment Epithelium Cell Line Area Under Curve Stem Cells
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SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment.

Molecular bioSystems Feb 11, 2016
Adjuvant chemotherapy (CTX) should be individualized to provide potential survival benefit and avoid potential harm to cancer patients. Our goal was to establish a computational approach for making personalized estimates of the survival benefit from ...
Reproducibility of Results Breast Neoplasms Male Neoplasms Antineoplastic Agents Neural Networks, Computer Machine Learning Prognosis Female Models, Statistical Area Under Curve Kaplan-Meier Estimate Chemotherapy, Adjuvant Lung Neoplasms Computational Biology Treatment Outcome Support Vector Machine Humans
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Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology.

Journal of biomedical informatics Feb 10, 2016
Biomedical ontologies contain errors. Crowdsourcing, defined as taking a job traditionally performed by a designated agent and outsourcing it to an undefined large group of people, provides scalable access to humans. Therefore, the crowd has the pote...
Area Under Curve Humans Internet Software Systematized Nomenclature of Medicine Algorithms Analysis of Variance Computational Biology Task Performance and Analysis Gene Ontology Crowdsourcing Search Engine
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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 ...
Electric Countershock Ventricular Fibrillation Defibrillators Out-of-Hospital Cardiac Arrest Software Retrospective Studies Sensitivity and Specificity Humans ROC Curve Neural Networks, Computer Electrocardiography Treatment Outcome Predictive Value of Tests Area Under Curve Signal Processing, Computer-Assisted
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Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: An Application of Machine Learning Using Electronic Health Records.

Journal of diabetes science and technology Dec 20, 2015
BACKGROUND: Application of novel machine learning approaches to electronic health record (EHR) data could provide valuable insights into disease processes. We utilized this approach to build predictive models for progression to prediabetes and type 2...
Area Under Curve Humans Medical Informatics Machine Learning Prediabetic State Male Retrospective Studies Disease Progression Electronic Health Records ROC Curve Female Diabetes Mellitus, Type 2 Risk Factors Adult
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Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.

BMC bioinformatics Dec 9, 2015
BACKGROUND: Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been develo...
Proteins Protein Structure, Tertiary ROC Curve Principal Component Analysis Protein Interaction Maps Dimerization Area Under Curve Protein Binding Hydrogen Bonding Support Vector Machine
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