AIMC Topic:
ROC Curve

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On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals.

PloS one Jun 23, 2020
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques. The model training is based on biosignals acquired in a randomized controlled tria...
Adolescent Humans Telemedicine ROC Curve Machine Learning Phobic Disorders Young Adult Electrocardiography Spiders Adult Randomized Controlled Trials as Topic Animals Area Under Curve
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Prediction of response to anti-vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography-based machine learning method.

Acta ophthalmologica Jun 22, 2020
PURPOSE: To predict the anti-vascular endothelial growth factor (VEGF) therapeutic response of diabetic macular oedema (DME) patients from optical coherence tomography (OCT) at the initiation stage of treatment using a machine learning-based self-exp...
Visual Acuity Machine Learning Tomography, Optical Coherence Algorithms Macular Edema Aged Humans ROC Curve Prognosis Vascular Endothelial Growth Factor A Male Angiogenesis Inhibitors Diabetic Retinopathy Retrospective Studies Middle Aged Intravitreal Injections Follow-Up Studies Female
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Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.

Gastroenterology Jun 17, 2020
BACKGROUND & AIMS: Microsatellite instability (MSI) and mismatch-repair deficiency (dMMR) in colorectal tumors are used to select treatment for patients. Deep learning can detect MSI and dMMR in tumor samples on routine histology slides faster and le...
Mismatch Repair Endonuclease PMS2 MutS Homolog 2 Protein Male Middle Aged Deep Learning Cohort Studies ROC Curve Predictive Value of Tests Microsatellite Instability DNA-Binding Proteins MutL Protein Homolog 1 Neoplastic Syndromes, Hereditary Humans Female Adult Colorectal Neoplasms Brain Neoplasms
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Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population.

International immunopharmacology Jun 16, 2020
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemic COVID-19. Early symptoms overlap with other common conditions such as common cold and Influenza, making early screening and diagnosis are crucial go...
Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing Humans Datasets as Topic Pandemics Neural Networks, Computer Blood Cell Count Machine Learning SARS-CoV-2 COVID-19 Clinical Laboratory Techniques Brazil Prognosis ROC Curve Mass Screening Models, Statistical
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Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

International journal of computer assisted radiology and surgery Jun 16, 2020
PURPOSE: Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance imag...
Female Adult Breast Neoplasms Middle Aged Antineoplastic Agents Humans Neural Networks, Computer Retrospective Studies Neoadjuvant Therapy Contrast Media Magnetic Resonance Imaging Area Under Curve Chemotherapy, Adjuvant Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Treatment Outcome
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Predicting dengue importation into Europe, using machine learning and model-agnostic methods.

Scientific reports Jun 16, 2020
The geographical spread of dengue is a global public health concern. This is largely mediated by the importation of dengue from endemic to non-endemic areas via the increasing connectivity of the global air transport network. The dynamic nature and i...
Humans Models, Statistical Machine Learning Aircraft Epidemics Algorithms Travel Forecasting Dengue ROC Curve Europe
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Prostate-Specific Antigen Prostate Validation Studies as Topic Humans Image-Guided Biopsy Ultrasonography Machine Learning Unnecessary Procedures Retrospective Studies ROC Curve Reproducibility of Results Support Vector Machine Logistic Models Aged, 80 and over Aged Decision Trees Male Area Under Curve Middle Aged Multiparametric Magnetic Resonance Imaging Radiography Prostatic Neoplasms
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The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.

Journal of shoulder and elbow surgery Jun 9, 2020
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (...
Length of Stay ROC Curve Models, Statistical Patient Discharge Osteoarthritis Aged Aged, 80 and over Male Middle Aged Postoperative Complications Hospital Costs Humans Hospital Charges Neural Networks, Computer Machine Learning Arthroplasty, Replacement, Shoulder Hemiarthroplasty Forecasting Shoulder Injuries Databases, Factual Female Reproducibility of Results
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Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital.

Diagnostic microbiology and infectious disease Jun 8, 2020
Previous studies have shown promising results of machine learning (ML) models for predicting health outcomes. We develop and test ML models for predicting Clostridioides difficile infection (CDI) in hospitalized patients. This is a retrospective coho...
Humans Machine Learning Forecasting Aged Male Middle Aged Anti-Bacterial Agents Retrospective Studies Female Tertiary Care Centers Diarrhea Clostridium Infections ROC Curve Clostridioides difficile Logistic Models Area Under Curve Bayes Theorem
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An improved clear cell renal cell carcinoma stage prediction model based on gene sets.

BMC bioinformatics Jun 8, 2020
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma and accounts for cancer-related deaths. Survival rates are very low when the tumor is discovered in the late-stage. Thus, developing an efficient s...
Logistic Models Area Under Curve Neoplasm Staging RNA Kidney Neoplasms Carcinoma, Renal Cell Humans Machine Learning Female ROC Curve
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