AIMC Topic: ROC Curve

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A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.

European journal of radiology May 20, 2020
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (DL) model for differentiating high- from low-grade clear cell renal cell carcinoma (ccRCC).
Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell ROC Curve Kidney Predictive Value of Tests Retrospective Studies Tomography, X-Ray Computed Female Middle Aged Deep Learning Humans Reproducibility of Results Male
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Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.

Urology May 20, 2020
OBJECTIVE: To reliably and quickly diagnose children with posterior urethral valves (PUV), we developed a multi-instance deep learning method to automate image analysis.
Male Infant Case-Control Studies ROC Curve Kidney Deep Learning Ultrasonography Vesico-Ureteral Reflux Diagnosis, Differential Humans Hydronephrosis Feasibility Studies Urethra Image Interpretation, Computer-Assisted Urogenital Abnormalities Female Infant, Newborn Reproducibility of Results
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Stability Assessment of Intracranial Aneurysms Using Machine Learning Based on Clinical and Morphological Features.

Translational stroke research May 19, 2020
Machine learning (ML) as a novel approach could help clinicians address the challenge of accurate stability assessment of unruptured intracranial aneurysms (IAs). We developed multiple ML models for IA stability assessment and compare their performan...
Intracranial Aneurysm Middle Aged ROC Curve Follow-Up Studies Humans Machine Learning Adult Retrospective Studies Female Male Aged
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Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

BioMed research international May 19, 2020
Drug discovery is a costly process which usually takes more than 10 years and billions of dollars for one successful drug to enter the market. Despite all the safety tests, drugs may still cause adverse reactions and be restricted in use or even with...
Databases, Genetic Transcriptome Databases, Pharmaceutical Humans Area Under Curve ROC Curve Machine Learning Chemical and Drug Induced Liver Injury Computational Biology Computer Simulation
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Predicting hospital admission for older emergency department patients: Insights from machine learning.

International journal of medical informatics May 16, 2020
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely positioned to influence the health care trajectories of older adults seeking medical attention. Older adults present to the ED with distinct needs and com...
Humans Emergency Service, Hospital Machine Learning Geriatric Assessment Prospective Studies Female Male Hospitalization Risk Assessment Aged Aged, 80 and over ROC Curve Canada
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Automated detection and classification of shoulder arthroplasty models using deep learning.

Skeletal radiology May 15, 2020
OBJECTIVE: To develop and evaluate the performance of deep convolutional neural networks (DCNN) to detect and identify specific total shoulder arthroplasty (TSA) models.
Deep Learning ROC Curve Radiography Arthroplasty, Replacement, Shoulder Humans Neural Networks, Computer
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Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.

Scientific reports May 15, 2020
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthrit...
Reproducibility of Results Male ROC Curve Area Under Curve Databases, Factual Biomarkers Female Early Diagnosis Symptom Assessment Radiography Temporomandibular Joint Disorders Osteoarthritis Machine Learning Data Analysis Humans
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Privileged Scaffold Analysis of Natural Products with Deep Learning-based Indication Prediction Model.

Molecular informatics May 14, 2020
Natural products play a vital role in the drug discovery and development process as an important source of reliable and novel lead structures. But the existing criteria for drug leads were usually developed for synthetic compounds and cannot be direc...
Antihypertensive Agents Area Under Curve Deep Learning Models, Molecular ROC Curve Databases as Topic Biological Products
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Artificial Intelligence in Multiphoton Tomography: Atopic Dermatitis Diagnosis.

Scientific reports May 14, 2020
The diagnostic possibilities of multiphoton tomography (MPT) in dermatology have already been demonstrated. Nevertheless, the analysis of MPT data is still time-consuming and operator dependent. We propose a fully automatic approach based on convolut...
Humans Artificial Intelligence Optical Imaging Dermatitis, Atopic Tomography Machine Learning ROC Curve Image Processing, Computer-Assisted
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Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning.

Computational intelligence and neuroscience May 14, 2020
Intelligent medical diagnosis has become common in the era of big data, although this technique has been applied to asthma only in limited contexts. Using routine blood biomarkers to identify asthma patients would make clinical diagnosis easier to im...
Asthma Machine Learning ROC Curve Humans Biomarkers Lymphocyte Count
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