AIMC Topic: ROC Curve

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Deep Learning Modeling of Androgen Receptor Responses to Prostate Cancer Therapies.

International journal of molecular sciences Aug 14, 2020
Gain-of-function mutations in human androgen receptor (AR) are among the major causes of drug resistance in prostate cancer (PCa). Identifying mutations that cause resistant phenotype is of critical importance for guiding treatment protocols, as well...
Mutation Deep Learning Receptors, Androgen Cell Line, Tumor Humans ROC Curve Transcription, Genetic Neural Networks, Computer Prostatic Neoplasms Androgen Receptor Antagonists Male
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Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage.

PloS one Aug 13, 2020
BACKGROUND: Cancer is the second leading cause of death in the United States. Cancer screenings can detect precancerous cells and allow for earlier diagnosis and treatment. Our purpose was to better understand risk factors for cancer screenings and a...
Deep Learning Colonic Neoplasms Humans Breast Neoplasms Guidelines as Topic ROC Curve Female Uterine Cervical Neoplasms Early Detection of Cancer Risk Factors Cardiovascular Diseases Area Under Curve Adult Middle Aged
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Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source.

Stroke Aug 12, 2020
BACKGROUND AND PURPOSE: One-fifth of ischemic strokes are embolic strokes of undetermined source (ESUS). Their theoretical causes can be classified as cardioembolic versus noncardioembolic. This distinction has important implications, but the categor...
Atrial Fibrillation Intracranial Embolism Male Middle Aged ROC Curve Image Processing, Computer-Assisted Electrocardiography Algorithms Decision Trees Humans Female Predictive Value of Tests Machine Learning Reproducibility of Results Registries Aged Stroke Aged, 80 and over
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A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data.

Genes Aug 12, 2020
DNA methylation change has been useful for cancer biomarker discovery, classification, and potential treatment development. So far, existing methods use either differentially methylated CpG sites or combined CpG sites, namely differentially methylate...
Gene Ontology Databases, Genetic DNA Methylation Genetic Variation Linear Models Deep Learning ROC Curve Computational Biology Epigenesis, Genetic Humans Algorithms Gene Expression Regulation, Neoplastic Biomarkers, Tumor Neoplasms Gene Expression Profiling
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Comparing different deep learning architectures for classification of chest radiographs.

Scientific reports Aug 12, 2020
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks,...
COVID-19 SARS-CoV-2 Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning ROC Curve Coronavirus Infections Radiography, Thoracic Thorax Humans Betacoronavirus Neural Networks, Computer Pneumonia, Viral Pandemics
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Development of a Deep Learning-Based Model for Diagnosing Breast Nodules With Ultrasound.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Aug 8, 2020
OBJECTIVES: Artificial intelligence (AI) has been an important addition to medicine. We aimed to explore the use of deep learning (DL) to distinguish benign from malignant lesions with breast ultrasound (BUS).
ROC Curve Female Humans Sensitivity and Specificity Artificial Intelligence Deep Learning Ultrasonography
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cnnAlpha: Protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networks.

Proteins Aug 7, 2020
Intrinsically disordered regions (IDR) play an important role in key biological processes and are closely related to human diseases. IDRs have great potential to serve as targets for drug discovery, most notably in disordered binding regions. Accurat...
Humans Neural Networks, Computer Machine Learning ROC Curve Data Mining Computational Biology Datasets as Topic Area Under Curve Intrinsically Disordered Proteins Benchmarking Sequence Analysis, Protein Amino Acid Sequence Multifactor Dimensionality Reduction
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Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

Nature communications Aug 7, 2020
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accurac...
Electrocardiography Acute Coronary Syndrome Databases as Topic Reference Standards Humans Machine Learning Algorithms Female Male Middle Aged Hospitals ROC Curve
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Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Machine Learning Reproducibility of Results Animals ROC Curve Rats Signal Processing, Computer-Assisted Linear Models Epilepsies, Partial Electrocorticography Kainic Acid Disease Models, Animal Area Under Curve Electroencephalography Seizures Excitatory Amino Acid Agonists
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Development and validation of prognosis model of mortality risk in patients with COVID-19.

Epidemiology and infection Aug 4, 2020
This study aimed to identify clinical features for prognosing mortality risk using machine-learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective study of the inpatients with COVID-19 admitted from 15 January to 15 Mar...
Pneumonia, Viral Adolescent ROC Curve Logistic Models Coronavirus Infections Reproducibility of Results COVID-19 Hospitalization Humans Adult Prognosis Aged Machine Learning Male Retrospective Studies Young Adult Pandemics Middle Aged Female Risk Assessment China
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