AIMC Topic: Female

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Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the potential value of the machine learning (ML)-based MRI texture analysis for predicting 1p/19q codeletion status of lower-grade gliomas (LGG), using various state-of-the-art ML algorithms.
Humans Neural Networks, Computer Machine Learning Area Under Curve Bayes Theorem Chromosome Deletion Chromosomes, Human, Pair 1 Chromosomes, Human, Pair 19 Algorithms Male Retrospective Studies Middle Aged Female Glioma Adult Support Vector Machine Magnetic Resonance Imaging Brain Neoplasms
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Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the impact of utilizing digital breast tomosynthesis (DBT) or/and full-field digital mammography (FFDM), and different transfer learning strategies on deep convolutional neural network (DCNN)-based mass classification for breas...
Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Breast Radiographic Image Enhancement Breast Neoplasms Middle Aged Deep Learning Imaging, Three-Dimensional Mammography Aged Aged, 80 and over Young Adult Adult
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Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 5, 2019
OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson's disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning m...
Wavelet Analysis Tremor Subthalamic Nucleus Humans Machine Learning Parkinson Disease Reaction Time Deep Brain Stimulation Rest Analysis of Variance Algorithms Female Aged Male Middle Aged
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Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.

BMC medical informatics and decision making Nov 5, 2019
BACKGROUND: Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled h...
Humans Machine Learning Clinical Decision-Making Pregnancy Female Young Adult Adult Cross-Sectional Studies Middle Aged Maternal Health Services Adolescent Health Surveys Logistic Models Ethiopia Bayes Theorem Delivery, Obstetric
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Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

NeuroImage. Clinical Nov 5, 2019
Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheimer's disease. The aetiology and pathogenesis of Parkinson's disease (PD) are still unclear, but the loss of dopaminergic cells and the excessive iron ...
Female Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging Male Middle Aged Parkinson Disease Case-Control Studies Iron Substantia Nigra Humans Neural Networks, Computer Machine Learning Brain
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Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation.

NeuroImage. Clinical Nov 5, 2019
PURPOSE: Accurate lesion segmentation is important for measurements of lesion load and atrophy in subjects with multiple sclerosis (MS). International MS lesion challenges show a preference of convolutional neural networks (CNN) strategies, such as n...
Unsupervised Machine Learning Supervised Machine Learning Multiple Sclerosis, Relapsing-Remitting Male Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Brain Female Adult
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Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.

Journal of neurointerventional surgery Nov 4, 2019
BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thus are likely key components of acute ischemic stroke (AIS) emboli. We aimed to characterize platelet and vWF levels in AIS emboli and to assess associ...
Male Treatment Outcome Stroke Brain Ischemia Blood Platelets von Willebrand Factor Thromboembolism Cerebral Revascularization Humans Machine Learning Female
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A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.

Radiological physics and technology Nov 4, 2019
In digital mammography, which is used for the early detection of breast tumors, oversight may occur due to overlap between normal tissues and lesions. However, since digital breast tomosynthesis can acquire three-dimensional images, tissue overlappin...
Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Support Vector Machine Humans Machine Learning Algorithms Female Reproducibility of Results Pattern Recognition, Automated False Positive Reactions Mammography Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Breast
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Predicting individual decision-making responses based on single-trial EEG.

NeuroImage Nov 4, 2019
Decision-making plays an essential role in the interpersonal interactions and cognitive processing of individuals. There has been increasing interest in being able to predict an individual's decision-making response (i.e., acceptance or rejection). W...
Decision Making Discriminant Analysis Electroencephalography Signal Processing, Computer-Assisted Supervised Machine Learning Neural Pathways Evoked Potentials Brain Female Young Adult Adult Male Humans
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Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Arthritis & rheumatology (Hoboken, N.J.) Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Severity of Illness Index Arthritis, Rheumatoid Polymorphism, Single Nucleotide Treatment Outcome Regression Analysis Tumor Necrosis Factor-alpha Female Reproducibility of Results Male Middle Aged Outcome Assessment, Health Care Antirheumatic Agents Normal Distribution Etanercept Certolizumab Pegol Predictive Value of Tests Infliximab Genetic Markers Methotrexate Adalimumab Humans Machine Learning
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