AIMC Topic: ROC Curve

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Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.

Ophthalmology Aug 2, 2021
PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.
Sensitivity and Specificity Deep Learning ROC Curve Wound Healing Humans Algorithms Retrospective Studies Eye Infections, Bacterial Photography Slit Lamp Microscopy Corneal Ulcer Eye Infections, Fungal Predictive Value of Tests Area Under Curve Cicatrix False Positive Reactions
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A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.

JAMA network open Aug 2, 2021
IMPORTANCE: Breast cancer screening is among the most common radiological tasks, with more than 39 million examinations performed each year. While it has been among the most studied medical imaging applications of artificial intelligence, the develop...
False Positive Reactions Aged Humans Breast Neoplasms Female Middle Aged Reproducibility of Results Deep Learning Mammography ROC Curve Breast Early Detection of Cancer Datasets as Topic
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Machine learning prediction of dropping out of outpatients with alcohol use disorders.

PloS one Aug 2, 2021
BACKGROUND: Alcohol use disorder (AUD) is a chronic disease with a higher recurrence rate than that of other mental illnesses. Moreover, it requires continuous outpatient treatment for the patient to maintain abstinence. However, with a low probabili...
Adult Retrospective Studies ROC Curve Republic of Korea Male Humans Alcoholism Female Middle Aged Neural Networks, Computer Outpatients Young Adult Risk Assessment Machine Learning Algorithms
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Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach.

PloS one Aug 2, 2021
BACKGROUND: Conventional risk score for predicting short and long-term mortality following an ST-segment elevation myocardial infarction (STEMI) is often not population specific.
Male Humans Middle Aged Machine Learning Asian People Time Factors Hospital Mortality Female ROC Curve Area Under Curve Reproducibility of Results ST Elevation Myocardial Infarction Risk Factors Thrombosis
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Using the Super Learner algorithm to predict risk of 30-day readmission after bariatric surgery in the United States.

Surgery Jul 31, 2021
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonly deployed in bariatric surgery. The objective was to validate a machine learning (Super Learner) prediction model of 30-day readmission after bariatr...
Algorithms Retrospective Studies Female Risk Factors Adult Male Middle Aged Postoperative Complications Humans Machine Learning Obesity, Morbid Patient Readmission ROC Curve Logistic Models Predictive Value of Tests Bariatric Surgery
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Ophthalmology Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Optic Nerve Diseases Glaucoma, Open-Angle Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Algorithms Vision Disorders Female Multimodal Imaging Aged Male Area Under Curve Humans Adult Middle Aged Tomography, Optical Coherence Machine Learning ROC Curve Cross-Sectional Studies Intraocular Pressure
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Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features.

BMC bioinformatics Jul 30, 2021
BACKGROUND: Antimicrobial peptides (AMPs) are oligopeptides that act as crucial components of innate immunity, naturally occur in all multicellular organisms, and are involved in the first line of defense function. Recent studies showed that AMPs per...
Machine Learning Algorithms Computer Simulation ROC Curve Pore Forming Cytotoxic Proteins
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Detecting suicidal risk using MMPI-2 based on machine learning algorithm.

Scientific reports Jul 28, 2021
Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of adaptation for a large group in clinical settings, schools, and corporations. This study aims t...
Male Risk Assessment Suicide, Attempted Adolescent Machine Learning Female Risk Factors Young Adult Area Under Curve False Positive Reactions MMPI Suicide Prevention Suicidal Ideation Suicide ROC Curve Humans
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Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response.

PloS one Jul 28, 2021
Providing treatment sensitivity stratification at the time of cancer diagnosis allows better allocation of patients to alternative treatment options. Despite many clinical and biological risk markers having been associated with variable survival in c...
In Situ Hybridization, Fluorescence Multiple Myeloma ROC Curve Gene Expression Regulation, Neoplastic Treatment Outcome Area Under Curve Humans Machine Learning Survival Rate Antineoplastic Agents
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A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.

Diabetes care Jul 27, 2021
OBJECTIVE: Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep learning (DL) system for classifying DME using images from three common commercially...
Humans Diabetic Retinopathy Deep Learning Macular Edema ROC Curve Diabetes Mellitus Tomography, Optical Coherence
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