AIMC Topic: ROC Curve

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Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning.

Scientific reports Jul 28, 2020
Fine-motor impairment (FMI) is progressively expressed in early Parkinson's Disease (PD) patients and is now known to be evident in the immediate prodromal stage of the condition. The clinical techniques for detecting FMI may not be robust enough and...
Humans Female Male Middle Aged Deep Learning Cohort Studies ROC Curve Smartphone Motor Activity Mass Screening Parkinson Disease Self Report Confidence Intervals
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Signal Peptides Generated by Attention-Based Neural Networks.

ACS synthetic biology Jul 27, 2020
Short (15-30 residue) chains of amino acids at the amino termini of expressed proteins known as signal peptides (SPs) specify secretion in living cells. We trained an attention-based neural network, the Transformer model, on data from all available o...
Bacillus subtilis Databases, Protein Area Under Curve Bacterial Proteins Protein Sorting Signals Machine Learning ROC Curve
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Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database.

PloS one Jul 27, 2020
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, academia, and industry to pool resources and data on subjects at various stage of symptomatic severity due to Alzheimer's disease. As expected, magnetic r...
Area Under Curve Alzheimer Disease Neuroimaging Brain Humans Apolipoprotein A-V Disease Progression Machine Learning ROC Curve Databases, Factual Magnetic Resonance Imaging Biomarkers Principal Component Analysis
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Prediction of 1-Year Mortality from Acute Myocardial Infarction Using Machine Learning.

The American journal of cardiology Jul 26, 2020
Risk stratification at hospital discharge could be instrumental in guiding postdischarge care. In this study, the risk models for 1-year mortality using machine learning (ML) were evaluated for guiding management of acute myocardial infarction (AMI) ...
Middle Aged Risk Assessment Risk Factors Predictive Value of Tests Time Factors Humans Aged ROC Curve Machine Learning Registries Aged, 80 and over Logistic Models Algorithms Myocardial Infarction Male Republic of Korea Female
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Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).

Journal of critical care Jul 24, 2020
PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mortality and associated morbidity. The objective of this study is to develop and evaluate a novel application of gradient boosted tree models trained on...
Critical Care Early Diagnosis Adolescent ROC Curve Respiratory Distress Syndrome Area Under Curve Supervised Machine Learning Young Adult Adult Male Middle Aged Retrospective Studies Intensive Care Units Female Risk Factors Aged Humans Databases, Factual
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The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

European journal of radiology Jul 23, 2020
PURPOSE: The purpose of our study is to develop deep convolutional neural network (DCNN) for detecting hip fractures using CT and MRI as a gold standard, and to evaluate the diagnostic performance of 7 readers with and without DCNN.
Hip Fractures Radiographic Image Enhancement Radiography, Abdominal Aged Humans Aged, 80 and over Neural Networks, Computer Male Tomography, X-Ray Computed Middle Aged Female Deep Learning ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Area Under Curve Pelvis
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Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

European radiology Jul 22, 2020
OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.
Male Middle Aged Diagnosis, Computer-Assisted ROC Curve Liver Neoplasms Reproducibility of Results Aged Adult Humans Sensitivity and Specificity Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Carcinoma, Hepatocellular Image Processing, Computer-Assisted Area Under Curve
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Support Vector Machine Natural Language Processing Bayes Theorem Data Mining Observer Variation Electronic Health Records Reproducibility of Results Sweden ROC Curve Tobacco Use Disorder Medical Informatics Automation Pattern Recognition, Automated Smoking False Positive Reactions Humans Machine Learning Software Algorithms Research Design
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Humans Machine Learning Female Risk Factors Ultrasonography, Interventional ROC Curve Linear Models Imaging, Three-Dimensional Coronary Vessels Biomechanical Phenomena Support Vector Machine Plaque, Atherosclerotic Male Models, Cardiovascular Area Under Curve Middle Aged Coronary Angiography Ultrasonography
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EDeepSSP: Explainable deep neural networks for exact splice sites prediction.

Journal of bioinformatics and computational biology Jul 22, 2020
Splice site prediction is crucial for understanding underlying gene regulation, gene function for better genome annotation. Many computational methods exist for recognizing the splice sites. Although most of the methods achieve a competent performanc...
Databases, Genetic Drosophila melanogaster RNA Splice Sites Arabidopsis Data Visualization Neural Networks, Computer Animals Deep Learning ROC Curve Computational Biology Humans
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