AIMC Topic: ROC Curve

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Natural language processing of head CT reports to identify intracranial mass effect: CTIME algorithm.

The American journal of emergency medicine Nov 9, 2021
BACKGROUND: The Mortality Probability Model (MPM) is used in research and quality improvement to adjust for severity of illness and can also inform triage decisions. However, a limitation for its automated use or application is that it includes the v...
Logistic Models Natural Language Processing Area Under Curve Electronic Health Records Brain Neoplasms ROC Curve Humans Machine Learning Tomography, X-Ray Computed
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Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.

Cells Nov 9, 2021
The requesting of detailed information on new drugs including drug-drug interactions or targets is often unavailable and resource-intensive in assessing adverse drug events. To shorten the common evaluation process of drug-drug interactions, we prese...
Algorithms Reproducibility of Results ROC Curve Drug Interactions Cytochrome P-450 Enzyme System Databases as Topic Histamine Antagonists Machine Learning
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Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer.

Physics in medicine and biology Nov 9, 2021
Modern radiotherapy stands to benefit from the ability to efficiently adapt plans during treatment in response to setup and geometric variations such as those caused by internal organ deformation or tumor shrinkage. A promising strategy is to develop...
Neural Networks, Computer Deep Learning ROC Curve Head and Neck Neoplasms Humans
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Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.

Computational and mathematical methods in medicine Nov 9, 2021
Early diagnosis of the harmful severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), along with clinical expertise, allows governments to break the transition chain and flatten the epidemic curve. Although reverse transcription-polymerase cha...
SARS-CoV-2 Deep Learning Humans ROC Curve COVID-19 Early Diagnosis COVID-19 Testing Neural Networks, Computer Algorithms False Positive Reactions Pandemics Databases, Factual Radiography, Thoracic Tomography, X-Ray Computed Software Design
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Diagnosis of Schizophrenia Based on Deep Learning Using fMRI.

Computational and mathematical methods in medicine Nov 9, 2021
Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification...
Brain Schizophrenia Female Adult Male Humans Neural Networks, Computer Functional Neuroimaging Algorithms Databases, Factual ROC Curve Computational Biology Middle Aged Magnetic Resonance Imaging Case-Control Studies Diagnosis, Computer-Assisted Deep Learning
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Machine learning random forest for predicting oncosomatic variant NGS analysis.

Scientific reports Nov 8, 2021
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable time, and we are still struggling with some variants that appear correct on the metrics at first, but ...
Neoplasms Deep Learning ROC Curve Polymorphism, Single Nucleotide Neural Networks, Computer Machine Learning Algorithms Biomarkers, Tumor High-Throughput Nucleotide Sequencing INDEL Mutation Oncogenes Computational Biology Databases, Genetic Models, Statistical Genetic Variation Humans
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Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study.

PloS one Nov 4, 2021
Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the likelihood of coronavirus disease (COVID-19) based on scores ranging from 0 to 1. However, Ali-M3 has not been externally validated. Our aim was to ev...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results SARS-CoV-2 Aged Adult Image Processing, Computer-Assisted Deep Learning Area Under Curve Humans Cohort Studies Sensitivity and Specificity Japan COVID-19 Reverse Transcriptase Polymerase Chain Reaction Probability Male COVID-19 Testing ROC Curve Middle Aged Diagnosis, Computer-Assisted
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A priori prediction of local failure in brain metastasis after hypo-fractionated stereotactic radiotherapy using quantitative MRI and machine learning.

Scientific reports Nov 3, 2021
This study investigated the effectiveness of pre-treatment quantitative MRI and clinical features along with machine learning techniques to predict local failure in patients with brain metastasis treated with hypo-fractionated stereotactic radiation ...
Humans Radiosurgery Radiation Dose Hypofractionation Female Neoplasms Aged Adult ROC Curve Aged, 80 and over Brain Neoplasms Machine Learning Follow-Up Studies Young Adult Male Precision Medicine Magnetic Resonance Imaging Prognosis Middle Aged Retrospective Studies
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Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images.

Nature communications Nov 2, 2021
Machine-assisted pathological recognition has been focused on supervised learning (SL) that suffers from a significant annotation bottleneck. We propose a semi-supervised learning (SSL) method based on the mean teacher architecture using 13,111 whole...
Artificial Intelligence Colorectal Neoplasms Deep Learning ROC Curve Lung Neoplasms Humans Lymphatic Metastasis Neural Networks, Computer Supervised Machine Learning
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Interpretable Diagnosis for Whole-Slide Melanoma Histology Images Using Convolutional Neural Network.

Journal of healthcare engineering Nov 1, 2021
At present, deep learning-based medical image diagnosis had achieved high performance in several diseases. However, the black-box nature of the convolutional neural network (CNN) limits their role in diagnosis. In this study, a novel interpretable di...
Melanoma ROC Curve Humans Neural Networks, Computer
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