AIMC Topic: Male

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Machine learning-based automated phenotyping of inflammatory nocifensive behavior in mice.

Molecular pain Jan 1, 2020
The discovery and development of new and potentially nonaddictive pain therapeutics requires rapid, yet clinically relevant assays of nociception in preclinical models. A reliable and scalable automated scoring system for nocifensive behavior of mice...
Mice, Inbred C57BL Reproducibility of Results Video Recording Animals Nociception Automation Male Behavior, Animal Mice Machine Learning Algorithms Female
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Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: The widespread incidence and prevalence of Alzheimer's disease and mild cognitive impairment (MCI) has prompted an urgent call for research to validate early detection cognitive screening and assessment.
Cognitive Dysfunction Neuropsychological Tests Models, Psychological Humans Mental Status and Dementia Tests Machine Learning Aged Female Cross-Sectional Studies Male Middle Aged
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Postimplementation Evaluation of a Machine Learning-Based Deterioration Risk Alert to Enhance Sepsis Outcome Improvements.

Nursing administration quarterly Jan 1, 2020
Machine learning-based early warning systems (EWSs) can detect clinical deterioration more accurately than point-score tools. In patients with sepsis, however, the timing and scope of sepsis interventions relative to an advanced EWS alert are not wel...
Outcome Assessment, Health Care Program Evaluation Humans Machine Learning Female Aged, 80 and over Aged Male Middle Aged Sepsis
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Electroencephalogram-Based Emotion Recognition Using a Particle Swarm Optimization-Derived Support Vector Machine Classifier.

Critical reviews in biomedical engineering Jan 1, 2020
We sort human emotions using Russell's circumplex model of emotion by classifying electroencephalogram (EEG) signals from 25 subjects into four discrete states, namely, happy, sad, angry, and relaxed. After acquiring signals, we use a standard databa...
Wavelet Analysis Recognition, Psychology Electroencephalography Signal Processing, Computer-Assisted Electrodes Pattern Recognition, Automated Young Adult Adolescent Support Vector Machine Adult Emotions Male Deep Learning Humans Algorithms Female Reproducibility of Results
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Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks.

Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie Jan 1, 2020
Two deep-learning algorithms designed to classify images according to the Gleason grading system that used transfer learning from two well-known general-purpose image classification networks (AlexNet and GoogleNet) were trained on Hematoxylin-Eosin h...
Humans Algorithms Male Deep Learning Prostatic Neoplasms Neoplasm Grading
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Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated.
Female Reproducibility of Results Aged Aged, 80 and over Male Dementia Mental Disorders Humans Machine Learning Data Analysis Forecasting Databases, Factual Retrospective Studies Electronic Health Records
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Impact of smart force feedback rehabilitation robot training on upper limb motor function in the subacute stage of stroke.

NeuroRehabilitation Jan 1, 2020
OBJECTIVE: To explore the impact of rehabilitation robot training (RRT) on upper limb motor function and daily activity ability in patients with stroke.
Recovery of Function Stroke Robotics Exercise Therapy Humans Occupational Therapy Stroke Rehabilitation Activities of Daily Living Female Biofeedback, Psychology Upper Extremity Aged Male Middle Aged
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Predictors of Dementia in the Oldest Old: A Novel Machine Learning Approach.

Alzheimer disease and associated disorders Jan 1, 2020
BACKGROUND: Incidence of dementia increases exponentially with age; little is known about its risk factors in the ninth and 10th decades of life. We identified predictors of dementia with onset after age 85 years in a longitudinal population-based co...
Prospective Studies Female Risk Factors Aged Humans Machine Learning Male Longitudinal Studies Dementia Pennsylvania Incidence Diagnostic Self Evaluation Hypertension Mental Status and Dementia Tests
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Diagnosis of Osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on the bone mineral density (BMD) and T-score values measured in bone. However, development of standard algorithms for accurate segmentation and BMD mea...
Radiographic Image Interpretation, Computer-Assisted Absorptiometry, Photon Bone and Bones Female Male Deep Learning Radiography Humans Bone Density Osteoporosis
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Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.

Journal of X-ray science and technology Jan 1, 2020
OBJECTIVE: Diagnosis of tuberculosis (TB) in multi-slice spiral computed tomography (CT) images is a difficult task in many TB prevalent locations in which experienced radiologists are lacking. To address this difficulty, we develop an automated dete...
Humans Aged, 80 and over Young Adult Adult Male Algorithms Tomography, X-Ray Computed Female Aged Child, Preschool Child Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary Middle Aged Lung Deep Learning Adolescent
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