AIMC Topic: Middle Aged

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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...
Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Breast Radiographic Image Enhancement Adult Breast Neoplasms Middle Aged Deep Learning Imaging, Three-Dimensional Mammography Retrospective Studies Female Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer Machine Learning
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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...
Parkinson Disease Reaction Time Machine Learning Deep Brain Stimulation Rest Wavelet Analysis Humans Tremor Subthalamic Nucleus 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...
Logistic Models Ethiopia Bayes Theorem Delivery, Obstetric Cross-Sectional Studies Middle Aged Maternal Health Services Adolescent Health Surveys Humans Machine Learning Clinical Decision-Making Pregnancy Female Young Adult Adult
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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 ...
Iron Substantia Nigra Male Middle Aged Case-Control Studies Image Processing, Computer-Assisted Magnetic Resonance Imaging Parkinson Disease Neural Networks, Computer Machine Learning Brain Female Aged Humans
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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...
Humans Neural Networks, Computer Brain Female Adult Male Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Supervised Machine Learning Multiple Sclerosis, Relapsing-Remitting
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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...
Male Middle Aged Severity of Illness Index Arthritis, Rheumatoid Polymorphism, Single Nucleotide Treatment Outcome Adalimumab Humans Outcome Assessment, Health Care Machine Learning Antirheumatic Agents Regression Analysis Tumor Necrosis Factor-alpha Normal Distribution Female Predictive Value of Tests Etanercept Reproducibility of Results Certolizumab Pegol Infliximab Genetic Markers Methotrexate
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Big Data Challenges Targeting Proteins in GPCR Signaling Pathways; Combining PTML-ChEMBL Models and [S]GTPγS Binding Assays.

ACS chemical neuroscience Nov 4, 2019
G-protein-coupled receptors (GPCRs), also known as 7-transmembrane receptors, are the single largest class of drug targets. Consequently, a large amount of preclinical assays having GPCRs as molecular targets has been released to public sources like ...
Male Middle Aged Big Data Protein Binding Receptors, G-Protein-Coupled Signal Transduction Databases, Chemical Humans Cerebral Cortex Guanosine 5'-O-(3-Thiotriphosphate) Machine Learning Serotonin Agents Female Sulfur Radioisotopes Aged Adult
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Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

Echocardiography (Mount Kisco, N.Y.) Nov 4, 2019
A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurysm (AAA) is presented. Self-reported height, weight, age, gender, ethnicity, and parameters "Heart Problems," "Hypertension," "High Cholesterol," "Diab...
Humans Machine Learning Male Middle Aged Prevalence Incidence Ultrasonography United States Retrospective Studies Female Risk Factors Aged Aged, 80 and over Sex Distribution Mass Screening Follow-Up Studies Predictive Value of Tests Aortic Aneurysm, Abdominal Age Distribution
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Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.

Computational and mathematical methods in medicine Nov 4, 2019
In recent years, functional brain network topological features have been widely used as classification features. Previous studies have found that network node scale differences caused by different network parcellation definitions significantly affect...
Female Reproducibility of Results Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Algorithms Brain Cluster Analysis Brain Mapping Depressive Disorder, Major Medical Informatics Diagnosis, Computer-Assisted Pattern Recognition, Automated Adolescent Nerve Net Support Vector Machine Magnetic Resonance Imaging
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Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Middle Aged Support Vector Machine Humans Female Case-Control Studies Area Under Curve Machine Learning Aged Diagnosis, Computer-Assisted Models, Biological Software Aged, 80 and over Sepsis Early Diagnosis Algorithms Young Adult Adolescent Analysis of Variance Intensive Care Units Adult Vital Signs Male
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