AI Medical Compendium Topic:
Area Under Curve

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Improving breast mass classification by shared data with domain transformation using a generative adversarial network.

Computers in biology and medicine Mar 10, 2020
Training of a convolutional neural network (CNN) generally requires a large dataset. However, it is not easy to collect a large medical image dataset. The purpose of this study is to investigate the utility of synthetic images in training CNNs and to...
Neural Networks, Computer Tomography, X-Ray Computed Mammography Area Under Curve Breast
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Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach.

Diabetes & metabolic syndrome Mar 10, 2020
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-first century, both in developed and developing countries including Bangladesh. The main objective of this study is to use machine learning (ML) based c...
Bangladesh Demography Factor Analysis, Statistical Area Under Curve Discriminant Analysis Automation Reproducibility of Results Adult Male Middle Aged Health Surveys Humans Diabetes Mellitus, Type 2 Machine Learning Logistic Models Female Treatment Outcome Diabetes Mellitus Support Vector Machine
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External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax Mar 5, 2020
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Databases, Factual Male Middle Aged Risk Assessment Incidence Cohort Studies Prognosis Retrospective Studies Female Aged Adult Neoplasm Invasiveness Predictive Value of Tests Area Under Curve Neoplasm Staging Cell Transformation, Neoplastic ROC Curve Lung Neoplasms Multiple Pulmonary Nodules Early Detection of Cancer
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Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

Biomedical physics & engineering express Mar 4, 2020
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring the progression of Parkinson's disease (PD). However, these measurements are often not as accurate or reliable as clinical evaluations because it is ch...
Wearable Electronic Devices Smartphone Posture Parkinson Disease Area Under Curve Male Middle Aged Disease Progression Diagnosis, Computer-Assisted Accelerometry Humans Life Style Machine Learning Motor Skills Postural Balance Female Remote Sensing Technology Crowdsourcing Reproducibility of Results Walking Tremor Aged Gait Pattern Recognition, Automated
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Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes undetected. Continuous glucose monitoring (CGM) devices have enabled prediction of impending nocturnal hypoglycemia, however, prior efforts have been li...
Hypoglycemia ROC Curve Diabetes Mellitus, Type 1 Blood Glucose Self-Monitoring Hypoglycemic Agents Monitoring, Ambulatory Humans Area Under Curve Machine Learning Models, Biological Blood Glucose Insulin
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Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The goal of this study was to investigate the application of machine learning models capable of capturing multiplica tive and temporal clinical risk factors for outcome prediction inpatients with aneurysmal subarachnoid hemorrhage (aSAH). We examined...
Subarachnoid Hemorrhage Humans ROC Curve Neural Networks, Computer Machine Learning Logistic Models Prognosis Treatment Outcome Risk Factors Area Under Curve Cohort Studies
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Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.

European journal of radiology Mar 2, 2020
PURPOSE: To evaluate the performance of machine-learning-based computed tomography (CT) radiomic analysis to differentiate high-risk thymic epithelial tumours (TETs) from low-risk TETs according to the WHO classification.
Image Interpretation, Computer-Assisted Neoplasms, Glandular and Epithelial Thymus Neoplasms Thymus Gland Tomography, X-Ray Computed Female Aged Young Adult Adult Male Middle Aged ROC Curve Area Under Curve Humans Machine Learning Retrospective Studies
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Prediction of Side Effects Using Comprehensive Similarity Measures.

BioMed research international Feb 27, 2020
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical industry. The existing side effect prediction methods mainly focus on the chemical and biological properties of drugs. This study proposes a method th...
Humans Machine Learning Polymorphism, Single Nucleotide Clonidine Drug Repositioning Area Under Curve Dasatinib Drug Interactions Drug-Related Side Effects and Adverse Reactions Sitagliptin Phosphate Vorinostat
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A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.

Tissue & cell Feb 20, 2020
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily perceived by commercially available and current research-based decision support systems when the scenario of pathologists to patient ratio is small. T...
Papanicolaou Test Image Processing, Computer-Assisted Area Under Curve Models, Biological Databases as Topic Female Uterine Cervical Neoplasms Humans Deep Learning Neural Networks, Computer ROC Curve Algorithms
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Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations.

Epilepsia Feb 20, 2020
OBJECTIVE: The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia type IIb and cortical tuber of tuberous sclerosis complex remains challenging. Both entities are distinct subtypes of human malformations of cortical de...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning ROC Curve Area Under Curve Epilepsy Internet Neuropathology Tuberous Sclerosis Neurons Cerebral Cortex Proof of Concept Study Malformations of Cortical Development, Group I
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