AIMC Topic: ROC Curve

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Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.

European radiology Feb 14, 2020
OBJECTIVES: To investigate whether a deep learning model can predict the bone mineral density (BMD) of lumbar vertebrae from unenhanced abdominal computed tomography (CT) images.
Absorptiometry, Photon Humans ROC Curve Bone Density Abdomen Retrospective Studies Area Under Curve Lumbar Vertebrae Aged Osteoporosis Adult Tomography, X-Ray Computed Male Female Middle Aged Reproducibility of Results Deep Learning
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CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate the deep learning models for differentiating invasive pulmonary adenocarcinomas (IACs) among subsolid nodules (SSNs) considered for resection in a retrospective diagnostic cohort in comparison with a size-based logistic model ...
Aged Male Middle Aged Deep Learning ROC Curve Lung Neoplasms Logistic Models Radiologists Radiography, Thoracic Humans Retrospective Studies Tomography, X-Ray Computed Adenocarcinoma of Lung Female
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Assessment of liver fibrosis severity using computed tomography-based liver and spleen volumetric indices in patients with chronic liver disease.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate whether the liver and spleen volumetric indices, measured on portal venous phase CT images, could be used to assess liver fibrosis severity in chronic liver disease.
Case-Control Studies Deep Learning Female ROC Curve Chronic Disease Humans Adult Liver Cirrhosis Organ Size Male Retrospective Studies Liver Liver Diseases Middle Aged Tomography, X-Ray Computed Spleen Severity of Illness Index
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Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.

Breast cancer (Tokyo, Japan) Feb 12, 2020
BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women.
Adult Breast Neoplasms Middle Aged ROC Curve Decision Support Systems, Clinical Female Aged Aged, 80 and over Young Adult Breast Japan Reference Standards Early Detection of Cancer Mammography Radiologists Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Retrospective Studies
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Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.

Physical and engineering sciences in medicine Feb 11, 2020
Given the patient to doctor ratio of 50,000:1 in low income and middle-income countries, there is a need for automated heart sound classification system that can screen the Phonocardiogram (PCG) records in real-time. This paper proposes deep neural n...
Heart Sounds Phonocardiography Neural Networks, Computer ROC Curve Models, Theoretical Area Under Curve Humans
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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.

Critical care (London, England) Feb 6, 2020
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing co...
Continuous Renal Replacement Therapy Acute Kidney Injury Republic of Korea Female Risk Factors Humans Machine Learning Aged ROC Curve Algorithms Aged, 80 and over Area Under Curve Male APACHE Middle Aged Organ Dysfunction Scores Severity of Illness Index Mortality
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Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

BMC medical informatics and decision making Feb 6, 2020
BACKGROUND: A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects relevant to the organization...
Male Middle Aged ROC Curve Logistic Models Germany Humans Electronic Health Records Hospitals, Psychiatric Female Machine Learning Hospitalization Decision Support Techniques Aged Databases, Factual Adult Prognosis
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DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening.

Genomics, proteomics & bioinformatics Feb 6, 2020
Accurate identification of compound-protein interactions (CPIs) in silico may deepen our understanding of the underlying mechanisms of drug action and thus remarkably facilitate drug discovery and development. Conventional similarity- or docking-base...
Area Under Curve Deep Learning User-Computer Interface ROC Curve Proteins Pharmaceutical Preparations Databases, Chemical
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Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.

JAMA network open Feb 5, 2020
IMPORTANCE: The ability to accurately predict in-hospital mortality for patients at the time of admission could improve clinical and operational decision-making and outcomes. Few of the machine learning models that have been developed to predict in-h...
Humans Machine Learning Hospitals, Teaching Adult Electronic Health Records Forecasting Male Hospitals Female Middle Aged Prospective Studies Hospitalization Hospital Mortality Risk Assessment Prognosis ROC Curve Aged Retrospective Studies Area Under Curve Aged, 80 and over Models, Biological
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Machine learning for syndromic surveillance using veterinary necropsy reports.

PloS one Feb 5, 2020
The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine lea...
Deep Learning Machine Learning Lung Diseases ROC Curve Animals Supervised Machine Learning Logistic Models Gastrointestinal Diseases Area Under Curve Urologic Diseases
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