AIMC Topic: ROC Curve

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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

BMC pregnancy and childbirth Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Time-Lapse Imaging Single Embryo Transfer Predictive Value of Tests Area Under Curve Microscopy Endpoint Determination Probability Datasets as Topic Humans Live Birth Reproducibility of Results Deep Learning ROC Curve
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Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values.

European journal of radiology Jan 15, 2022
PURPOSE: To develop a machine-learning-based radiomics signature of ADC for discriminating between benign and malignant testicular masses and compare its classification performance with that of minimum and mean ADC.
Humans Reproducibility of Results Machine Learning ROC Curve Retrospective Studies Diffusion Magnetic Resonance Imaging
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Oncocytoma-Related Gene Signature to Differentiate Chromophobe Renal Cancer and Oncocytoma Using Machine Learning.

Cells Jan 15, 2022
Publicly available gene expression datasets were analyzed to develop a chromophobe and oncocytoma related gene signature (COGS) to distinguish chRCC from RO. The datasets GSE11151, GSE19982, GSE2109, GSE8271 and GSE11024 were combined into a discover...
Gene Expression Profiling Humans ROC Curve Warburg Effect, Oncologic Gene Expression Regulation, Neoplastic Databases, Genetic Diagnosis, Differential Carcinoma, Renal Cell Carbohydrate Metabolism Genes, Neoplasm Adenoma, Oxyphilic Machine Learning Algorithms Reproducibility of Results
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StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants.

American journal of human genetics Jan 14, 2022
Whole-genome sequencing resolves many clinical cases where standard diagnostic methods have failed. However, at least half of these cases remain unresolved after whole-genome sequencing. Structural variants (SVs; genomic variants larger than 50 base ...
Genomics Whole Genome Sequencing Supervised Machine Learning Exons Genomic Structural Variation Datasets as Topic Genome, Human Software Algorithms ROC Curve Humans
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Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods.

Journal of digital imaging Jan 11, 2022
Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain, function limitation, and permanent joint damage in the hands. Plain hand radiographs are the most commonly used imaging methods for the diagnosis, differential...
Deep Learning ROC Curve Arthritis, Rheumatoid Osteoarthritis Humans Neural Networks, Computer Retrospective Studies
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A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures.

Sensors (Basel, Switzerland) Jan 10, 2022
This paper reported a study on the 3-dimensional deep-learning-based automatic diagnosis of nasal fractures. (1) Background: The nasal bone is the most protuberant feature of the face; therefore, it is highly vulnerable to facial trauma and its fract...
Humans Fractures, Bone Deep Learning ROC Curve Neural Networks, Computer Tomography, X-Ray Computed
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Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.

Computational and mathematical methods in medicine Jan 10, 2022
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increases pain. The study is aimed at establishing the prediction model of infection in patients with lung cancer during chemotherapy by an artificial neural...
Male Middle Aged ROC Curve Logistic Models Antineoplastic Combined Chemotherapy Protocols Lung Neoplasms Computational Biology Risk Factors Aged Aged, 80 and over Neural Networks, Computer Algorithms Female Humans Palliative Care Respiratory Tract Infections Cross Infection
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Artificial intelligence predicts clinically relevant atrial high-rate episodes in patients with cardiac implantable electronic devices.

Scientific reports Jan 7, 2022
To assess the utility of machine learning (ML) algorithms in predicting clinically relevant atrial high-rate episodes (AHREs), which can be recorded by a pacemaker. We aimed to develop ML-based models to predict clinically relevant AHREs based on the...
Prospective Studies Republic of Korea Female Aged Humans Artificial Intelligence Machine Learning Pacemaker, Artificial ROC Curve Clinical Decision Rules Aged, 80 and over Models, Statistical Registries Male Atrial Fibrillation Cohort Studies
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Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients.

PloS one Jan 6, 2022
Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and efficient utilization of resources. Accessibility of electronic health records (EHR) has enabled data-driven predictive modeling using machine learning....
Logistic Models Area Under Curve Length of Stay Hospital Mortality ROC Curve Humans Intensive Care Units Machine Learning Electronic Health Records Databases, Factual
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A 12-hospital prospective evaluation of a clinical decision support prognostic algorithm based on logistic regression as a form of machine learning to facilitate decision making for patients with suspected COVID-19.

PloS one Jan 5, 2022
OBJECTIVE: To prospectively evaluate a logistic regression-based machine learning (ML) prognostic algorithm implemented in real-time as a clinical decision support (CDS) system for symptomatic persons under investigation (PUI) for Coronavirus disease...
Humans Decision Support Systems, Clinical COVID-19 Triage Emergency Service, Hospital Logistic Models Severity of Illness Index ROC Curve Machine Learning
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