AIMC Topic:
ROC Curve

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CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

International journal of computer assisted radiology and surgery Nov 13, 2019
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malig...
Aged Aged, 80 and over Adult Male Middle Aged Lung ROC Curve Lung Neoplasms Predictive Value of Tests Neoplasm Staging Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Biopsy Neoplasm Metastasis
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Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.

American journal of ophthalmology Nov 12, 2019
PURPOSE: To compare the diagnostic performance of human gradings vs predictions provided by a machine-to-machine (M2M) deep learning (DL) algorithm trained to quantify retinal nerve fiber layer (RNFL) damage on fundus photographs.
Photography Physical Examination Cross-Sectional Studies Glaucoma, Open-Angle Intraocular Pressure Humans Gonioscopy Male Nerve Fibers Middle Aged Algorithms Retinal Ganglion Cells Deep Learning ROC Curve Visual Fields Retrospective Studies Vision Disorders Visual Field Tests Female Area Under Curve Optic Nerve Diseases Aged Tomography, Optical Coherence Fundus Oculi
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Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China.

Health informatics journal Nov 11, 2019
The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD) patients is important for addressing the economic burden of COPD. The objectives of this study were to use machine learning approaches to identify an...
ROC Curve Logistic Models Humans Machine Learning Pulmonary Disease, Chronic Obstructive China
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Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 11, 2019
OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform discharges on intracranial electrode recordings.
Artifacts Datasets as Topic Reference Standards Humans Sensitivity and Specificity Epilepsy, Temporal Lobe Electrocorticography Male Electrodes, Implanted Algorithms Deep Learning Temporal Lobe Female ROC Curve Area Under Curve Adult Foramen Ovale
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Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model.

Scientific reports Nov 11, 2019
The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of first symptoms/sensations was administered...
Middle Aged ROC Curve Lung Neoplasms Models, Theoretical Sensation Humans Prognosis Machine Learning Female Symptom Assessment Reproducibility of Results Aged Male
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A machine learning method correlating pulse pressure wave data with pregnancy.

International journal for numerical methods in biomedical engineering Nov 10, 2019
Pulse feeling , representing the tactile arterial palpation of the heartbeat, has been widely used in traditional Chinese medicine (TCM) to diagnose various diseases. The quantitative relationship between the pulse wave and health conditions however ...
Logistic Models Blood Pressure Area Under Curve Pulse Computer Simulation Pregnancy Female Reproducibility of Results ROC Curve Humans Machine Learning
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Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.

The Annals of thoracic surgery Nov 7, 2019
BACKGROUND: This study evaluated the predictive utility of a machine learning algorithm in estimating operative mortality risk in cardiac surgery.
Male Risk Assessment ROC Curve Cardiac Surgical Procedures Pennsylvania Female Risk Factors Aged Survival Rate Humans Machine Learning Algorithms Prognosis Retrospective Studies
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ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BMC medical informatics and decision making Nov 7, 2019
BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Altho...
Young Adult Adult Male Middle Aged Thailand Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Anemia, Hypochromic Adolescent ROC Curve Diagnosis, Differential Cluster Analysis Decision Trees Predictive Value of Tests Internet Anemia, Iron-Deficiency beta-Thalassemia
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A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.

BMC medical informatics and decision making Nov 6, 2019
BACKGROUND: Diabetes and cardiovascular disease are two of the main causes of death in the United States. Identifying and predicting these diseases in patients is the first step towards stopping their progression. We evaluate the capabilities of mach...
Diabetes Mellitus Support Vector Machine Predictive Value of Tests Humans Machine Learning Male Electronic Health Records Cardiovascular Diseases Female ROC Curve Logistic Models Nutrition Surveys
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A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
Machine Learning Algorithms Female Reproducibility of Results Breast Neoplasms Humans Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Breast Pattern Recognition, Automated False Positive Reactions Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Support Vector Machine Mammography
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