AIMC Topic: ROC Curve

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Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning.

Analytical chemistry Jun 25, 2020
The brain consists of organized ensembles of cells that exhibit distinct morphologies, cellular connectivity, and dynamic biochemistries that control the executive functions of an organism. However, the relationships between chemical heterogeneity, c...
Hippocampus Principal Component Analysis Area Under Curve Cerebellum Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Machine Learning Animals ROC Curve Single-Cell Analysis Rats Mass Spectrometry
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Serum markers improve current prediction of metastasis development in early-stage melanoma patients: a machine learning-based study.

Molecular oncology Jun 24, 2020
Metastasis development represents an important threat for melanoma patients, even when diagnosed at early stages and upon removal of the primary tumor. In this scenario, determination of prognostic biomarkers would be of great interest. Serum contain...
Humans Machine Learning Cytokines Prognosis Middle Aged Peptides ROC Curve Neoplasm Staging Neoplasm Metastasis Female Melanoma Biomarkers, Tumor Male
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A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.

Journal of the American Academy of Dermatology Jun 23, 2020
Carcinoma, Basal Cell Deep Learning Pilot Projects ROC Curve Skin Feasibility Studies Image Interpretation, Computer-Assisted False Negative Reactions Proof of Concept Study Humans Frozen Sections Retrospective Studies Mohs Surgery Skin Neoplasms
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From Local to Global: A Graph Framework for Retinal Artery/Vein Classification.

IEEE transactions on nanobioscience Jun 23, 2020
Fundus photography has been widely used for inspecting eye disorders by ophthalmologists or computer algorithms. Biomarkers related to retinal vessels plays an essential role to detect early diabetes. To quantify vascular biomarkers or the correspond...
Fluorescein Angiography Retinal Vessels Humans Male Diabetic Retinopathy Middle Aged Neural Networks, Computer ROC Curve Female Image Processing, Computer-Assisted Aged
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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...
Area Under Curve Animals Telemedicine Adolescent Humans Phobic Disorders ROC Curve Machine Learning Spiders Electrocardiography Young Adult Randomized Controlled Trials as Topic Adult
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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...
Vascular Endothelial Growth Factor A Intravitreal Injections Aged Male Middle Aged ROC Curve Angiogenesis Inhibitors Machine Learning Humans Follow-Up Studies Algorithms Visual Acuity Diabetic Retinopathy Tomography, Optical Coherence Prognosis Macular Edema Retrospective 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...
MutS Homolog 2 Protein Deep Learning Cohort Studies ROC Curve Predictive Value of Tests Microsatellite Instability DNA-Binding Proteins MutL Protein Homolog 1 Neoplastic Syndromes, Hereditary Mismatch Repair Endonuclease PMS2 Adult Colorectal Neoplasms Brain Neoplasms Male Middle Aged Humans Female
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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 Humans Pneumonia, Viral Neural Networks, Computer Brazil Machine Learning ROC Curve COVID-19 Testing Pandemics Datasets as Topic Mass Screening COVID-19 Blood Cell Count Models, Statistical Prognosis Clinical Laboratory Techniques Coronavirus Infections SARS-CoV-2
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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 Treatment Outcome Neoadjuvant Therapy Contrast Media Magnetic Resonance Imaging Area Under Curve Diagnosis, Computer-Assisted Deep Learning ROC Curve Image Processing, Computer-Assisted Chemotherapy, Adjuvant
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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...
Epidemics Travel Dengue Forecasting ROC Curve Humans Europe Machine Learning Models, Statistical Algorithms Aircraft
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