AIMC Topic: ROC Curve

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Artificial neural network based prediction of postthrombolysis intracerebral hemorrhage and death.

Scientific reports Nov 25, 2020
Despite the salient benefits of the intravenous tissue plasminogen activator (tPA), symptomatic intracerebral hemorrhage (sICH) remains a frequent complication and constitutes a major concern when treating acute ischemic stroke (AIS). This study expl...
Humans Ischemic Stroke Thrombolytic Therapy Male Tissue Plasminogen Activator Cohort Studies ROC Curve Treatment Outcome Cerebral Hemorrhage Neural Networks, Computer Phenotype Female Aged
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Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates.

Computer methods and programs in biomedicine Nov 23, 2020
BACKGROUND AND OBJECTIVE: Physiological time series are common data sources in many health applications. Mining data from physiological time series is crucial for promoting healthy living and reducing governmental medical expenditure. Recently, resea...
Neural Networks, Computer Deep Learning ROC Curve Heart Rate
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Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.

Scientific reports Nov 23, 2020
Differentiating pseudoprogression from true tumor progression has become a significant challenge in follow-up of diffuse infiltrating gliomas, particularly high grade, which leads to a potential treatment delay for patients with early glioma recurren...
Astrocytoma Oligodendroglioma Multiparametric Magnetic Resonance Imaging Disease Progression Deep Learning ROC Curve Follow-Up Studies Area Under Curve Biopsy Feasibility Studies Neoplasm Recurrence, Local Data Accuracy Aged Humans Adult Retrospective Studies Brain Neoplasms Female Male Middle Aged
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Deep learning-based classification of primary bone tumors on radiographs: A preliminary study.

EBioMedicine Nov 22, 2020
BACKGROUND: To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists.
Male Middle Aged Deep Learning Adolescent Child ROC Curve Image Processing, Computer-Assisted Bone Neoplasms Radiography Female Neoplasm Grading Reproducibility of Results Humans Young Adult Adult
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Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis.

Scientific reports Nov 20, 2020
We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in patients with ankylosing spondylitis. The baseline demographic and laboratory data of patients who visited Samsung Medical Center rheumatology clinic ...
Tumor Necrosis Factor Inhibitors Spondylitis, Ankylosing Young Adult Adult Male Middle Aged Deep Learning Time Factors ROC Curve Treatment Outcome Feasibility Studies Forecasting Retrospective Studies Republic of Korea Female Humans
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Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 18, 2020
PURPOSE: Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep learning on histology specimens with clinical data to predict ICI respon...
Aged Adult Male Middle Aged Risk Assessment Prognosis Female Melanoma Skin Neoplasms Follow-Up Studies Neoplasm Staging Skin Progression-Free Survival Drug Resistance, Neoplasm Disease Progression ROC Curve Immune Checkpoint Inhibitors Image Processing, Computer-Assisted Humans Machine Learning Prospective Studies
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Machine learning to predict mortality after rehabilitation among patients with severe stroke.

Scientific reports Nov 18, 2020
Stroke is among the leading causes of death and disability worldwide. Approximately 20-25% of stroke survivors present severe disability, which is associated with increased mortality risk. Prognostication is inherent in the process of clinical decisi...
Algorithms Clinical Decision-Making Female Aged Male Humans Machine Learning Stroke Medicare Mortality Stroke Rehabilitation Middle Aged ROC Curve Logistic Models United States
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Artificial intelligence for the detection of vertebral fractures on plain spinal radiography.

Scientific reports Nov 18, 2020
Vertebral fractures (VFs) cause serious problems, such as substantial functional loss and a high mortality rate, and a delayed diagnosis may further worsen the prognosis. Plain thoracolumbar radiography (PTLR) is an essential method for the evaluatio...
Humans ROC Curve Follow-Up Studies Female Radiography Aged Absorptiometry, Photon Male Neural Networks, Computer Spinal Fractures Quality of Life Artificial Intelligence Osteoporotic Fractures Case-Control Studies Prognosis Retrospective Studies
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Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission.

PloS one Nov 17, 2020
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma patients. The National Trauma Data Bank (NTDB) provided 799233 complete patient records (778303 survivors and 20930 deaths) each containing 32 featur...
Probability Sex Factors Reproducibility of Results False Positive Reactions Risk Humans Hospitalization Injury Severity Score Wounds and Injuries Machine Learning ROC Curve Glasgow Coma Scale Algorithms Heart Rate Databases, Factual
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Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip.

The Journal of arthroplasty Nov 16, 2020
BACKGROUND: The surgical management of complications surrounding patients who have undergone hip arthroplasty necessitates accurate identification of the femoral implant manufacturer and model. Failure to do so risks delays in care, increased morbidi...
Retrospective Studies ROC Curve Radiography Arthroplasty, Replacement, Hip Humans Artificial Intelligence
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