AIMC Topic: Predictive Value of Tests

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A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Computational and mathematical methods in medicine Nov 27, 2021
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symptoms such as chest pain and dyspnea, and comorbidity related to cardiovascular diseases. Usually, these variables are analyzed by logistic regression ...
Support Vector Machine Decision Trees Predictive Value of Tests Exercise Test Humans Coronary Artery Disease Bayes Theorem Machine Learning Male Myocardial Ischemia Positron Emission Tomography Computed Tomography Algorithms Middle Aged Female Myocardial Perfusion Imaging Cohort Studies Aged Computational Biology Logistic Models
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Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.

Journal of voice : official journal of the Voice Foundation Nov 26, 2021
Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effe...
Adult Male Middle Aged Case-Control Studies Predictive Value of Tests COVID-19 Female Reproducibility of Results SARS-CoV-2 Aged Phonation Cough Voice Quality COVID-19 Testing Humans Speech Acoustics Machine Learning Voice Disorders Speech Production Measurement
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Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI.

Scientific reports Nov 25, 2021
This study used explainable artificial intelligence for data-driven identification of extrastriatal brain regions that can contribute to the interpretation of dopamine transporter SPECT with I-FP-CIT in parkinsonian syndromes. A total of 1306 I-FP-CI...
Image Interpretation, Computer-Assisted Tomography, Emission-Computed, Single-Photon Tropanes Dopamine Plasma Membrane Transport Proteins Nerve Degeneration Reproducibility of Results Parkinson Disease Diagnosis, Differential Predictive Value of Tests Radiopharmaceuticals Humans Neural Networks, Computer Brain Retrospective Studies
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Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

BMC medical imaging Nov 25, 2021
BACKGROUND: Tc-pertechnetate thyroid scintigraphy is a valid complementary avenue for evaluating thyroid disease in the clinic, the image feature of thyroid scintigram is relatively simple but the interpretation still has a moderate consistency among...
Humans Neural Networks, Computer Retrospective Studies Female Adult Sensitivity and Specificity Male China Radiopharmaceuticals Thyroid Diseases Datasets as Topic Predictive Value of Tests Sodium Pertechnetate Tc 99m Thyroid Function Tests
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Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.

BMC cancer Nov 24, 2021
BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models based on magnetic resonance imaging (MRI) and machine learning to preoperatively predict...
Cholangiocarcinoma Sensitivity and Specificity Male Middle Aged ROC Curve Algorithms Humans Adenocarcinoma Retrospective Studies Machine Learning Lymphatic Metastasis Female Magnetic Resonance Imaging Aged Predictive Value of Tests Aged, 80 and over Area Under Curve Adult Neoplasm Grading Bile Duct Neoplasms
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The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

Scientific reports Nov 22, 2021
An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Netw...
Male Middle Aged Risk Assessment Postoperative Complications Cohort Studies ROC Curve Predictive Value of Tests Area Under Curve Elective Surgical Procedures Emergency Treatment Retrospective Studies Intensive Care Units Female Risk Factors Hospitalization Humans Neural Networks, Computer Machine Learning Prognosis
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Effect of data leakage in brain MRI classification using 2D convolutional neural networks.

Scientific reports Nov 19, 2021
In recent years, 2D convolutional neural networks (CNNs) have been extensively used to diagnose neurological diseases from magnetic resonance imaging (MRI) data due to their potential to discern subtle and intricate patterns. Despite the high perform...
Reproducibility of Results Aged Aged, 80 and over Cross-Sectional Studies Male Middle Aged Humans Neural Networks, Computer Brain Female Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Case-Control Studies Deep Learning Magnetic Resonance Imaging Parkinson Disease Predictive Value of Tests
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Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative.

Osteoarthritis and cartilage Nov 18, 2021
OBJECTIVE: To develop a machine learning-based prediction model for incident radiographic osteoarthritis (OA) of the knee over 8 years using MRI-based cartilage biochemical composition and knee joint structure, demographics, and clinical predictors i...
Middle Aged Time Factors Magnetic Resonance Imaging Predictive Value of Tests Knee Joint Machine Learning Retrospective Studies Female Aged Male Osteoarthritis, Knee Humans
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Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.

Cardiovascular toxicology Nov 18, 2021
Cardiotoxicity is a severe side effect for colorectal cancer (CRC) patients undergoing fluoropyrimidine-based chemotherapy. To develop and compare machine learning algorithms to predict cardiotoxicity risk among nationally representative CRC patients...
Decision Support Techniques Female Risk Factors Aged Colorectal Neoplasms Male Humans Machine Learning Fluorouracil Middle Aged SEER Program Risk Assessment Heart Diseases Time Factors Capecitabine Treatment Outcome Antimetabolites, Antineoplastic Predictive Value of Tests Cardiotoxicity
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Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain.

Scientific reports Nov 18, 2021
Automatic pattern recognition using deep learning techniques has become increasingly important. Unfortunately, due to limited system memory, general preprocessing methods for high-resolution images in the spatial domain can lose important data inform...
Probability Wavelet Analysis Machine Learning Computer Graphics Software Algorithms Computers Reproducibility of Results Colorectal Neoplasms Deep Learning User-Computer Interface Image Processing, Computer-Assisted Humans Predictive Value of Tests Neural Networks, Computer Principal Component Analysis
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