AIMC Topic: ROC Curve

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Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.

Journal of Crohn's & colitis Jul 1, 2017
BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods u...
Humans Machine Learning Algorithms Adult Male Middle Aged Adolescent Medication Adherence Inflammatory Bowel Diseases Retrospective Studies Female Hospitalization Young Adult Remission Induction Drug Prescriptions Azathioprine Mercaptopurine ROC Curve Treatment Outcome Immunosuppressive Agents Area Under Curve
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Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.

Investigative radiology Jul 1, 2017
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mammography d...
Mammography Breast Prevalence ROC Curve Image Processing, Computer-Assisted Follow-Up Studies Machine Learning Retrospective Studies Female Reproducibility of Results Aged Humans Aged, 80 and over Adult Breast Neoplasms Middle Aged
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Automatic health record review to help prioritize gravely ill Social Security disability applicants.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited service under the Compassionate Allowance (CAL) initiative, but CAL software focuses exclusively on i...
Humans Critical Illness Electronic Health Records Disability Evaluation Information Storage and Retrieval Eligibility Determination Insurance, Disability Social Security ROC Curve Persons with Disabilities United States Decision Trees Natural Language Processing
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Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

Investigative ophthalmology & visual science Jun 1, 2017
PURPOSE: The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD.
Subretinal Fluid Choroidal Neovascularization Tomography, Optical Coherence Vascular Endothelial Growth Factor A Macular Degeneration Ranibizumab Aged Aged, 80 and over Male Middle Aged Pilot Projects ROC Curve Angiogenesis Inhibitors Visual Acuity Predictive Value of Tests Humans Machine Learning Female
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Sequence-based predictive modeling to identify cancerlectins.

Oncotarget Apr 25, 2017
Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have a wide distribution to various species. They can specially identify and exclusively bind to a certain kind of saccharide groups. Cancerlectins are a group of lecti...
Algorithms Reproducibility of Results Neoplasms ROC Curve Support Vector Machine Databases, Protein Amino Acid Sequence Lectins Humans
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Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation Apr 1, 2017
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...
Humans Donor Selection Victoria Area Under Curve Adult Liver Transplantation Female Male Patient Selection Time Factors Middle Aged Reproducibility of Results Treatment Failure ROC Curve Risk Assessment Machine Learning Risk Factors Tissue Donors Adolescent Algorithms Aged Graft Survival Decision Support Techniques Young Adult Predictive Value of Tests Databases, Factual
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Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.

Medical physics Mar 1, 2017
PURPOSE: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm that is used to determine the hemodynamic significance of a coronary artery...
Hemodynamics ROC Curve Imaging, Three-Dimensional Area Under Curve Coronary Angiography Humans Machine Learning Coronary Stenosis Software Datasets as Topic Retrospective Studies Coronary Vessels Pattern Recognition, Automated Computed Tomography Angiography Models, Cardiovascular
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Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network.

Medical physics Mar 1, 2017
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. W...
Radiographic Image Interpretation, Computer-Assisted Datasets as Topic False Positive Reactions Breast Cyst Humans ROC Curve Neural Networks, Computer Mammography Female Diagnosis, Differential Breast Neoplasms Area Under Curve
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Gene essentiality prediction based on fractal features and machine learning.

Molecular bioSystems Feb 28, 2017
Essential genes are required for the viability of an organism. Accurate and rapid identification of new essential genes is of substantial theoretical interest to synthetic biology and has practical applications in biomedicine. Fractals provide facili...
Machine Learning Humans Genes, Essential ROC Curve Nonlinear Dynamics Genomics Genes, Bacterial Bacteria Databases, Nucleic Acid Fractals
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Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries.

Studies in health technology and informatics Jan 1, 2017
The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict p...
Natural Language Processing Humans Artificial Intelligence Developing Countries Algorithms Bangladesh ROC Curve Medical Records
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