AIMC Topic: Female

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Effect of robot-assisted gait training on motor functions in adolescent and young adult patients with bilateral spastic cerebral palsy: A randomized controlled trial.

NeuroRehabilitation Jan 1, 2020
BACKGROUND: Robot-assisted gait training (RAGT) allows an intensive gait training in patients with cerebral palsy (CP). There are few evidences on the effectiveness of RAGT in adults with CP.
Walking Adult Gait Male Humans Adolescent Exercise Therapy Prospective Studies Robotics Cerebral Palsy Motor Skills Female Young Adult Exoskeleton Device
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Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2020
OBJECTIVE: The aim is to explore the prediction effect of 5 machine learning algorithms on peritoneal metastasis of gastric cancer.
Male Middle Aged Risk Assessment Incidence Retrospective Studies Female Aged Stomach Neoplasms Gastrectomy Peritoneal Neoplasms Stomach Humans Machine Learning ROC Curve Logistic Models Treatment Outcome Neoplasm Recurrence, Local
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Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

Technology in cancer research & treatment Jan 1, 2020
PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program for cervical cancer, including a Convolution Neural Network (CNN)-based prediction model and an automated optimization strategy.
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Neural Networks, Computer Female Uterine Cervical Neoplasms Deep Learning Humans
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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...
Algorithms Female Reproducibility of Results Animals Male Mice Mice, Inbred C57BL Video Recording Machine Learning Automation Behavior, Animal Nociception
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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.
Male Middle Aged Cognitive Dysfunction Neuropsychological Tests Models, Psychological Mental Status and Dementia Tests Machine Learning Humans Female Aged Cross-Sectional Studies
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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...
Humans Male Middle Aged Sepsis Outcome Assessment, Health Care Program Evaluation Machine Learning Female Aged Aged, 80 and over
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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...
Emotions Electroencephalography Signal Processing, Computer-Assisted Electrodes Male Humans Pattern Recognition, Automated Female Deep Learning Algorithms Wavelet Analysis Reproducibility of Results Adolescent Recognition, Psychology Young Adult Support Vector Machine Adult
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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.
Databases, Factual Retrospective Studies Electronic Health Records Female Machine Learning Data Analysis Forecasting Mental Disorders Dementia Reproducibility of Results Aged Aged, 80 and over Male Humans
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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.
Humans Female Aged Activities of Daily Living Upper Extremity Stroke Rehabilitation Occupational Therapy Biofeedback, Psychology Stroke Male Exercise Therapy Middle Aged Recovery of Function Robotics
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Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.

Current medical imaging Jan 1, 2020
BACKGROUND: Breast cancer is one of the most leading causes of cancer deaths among women. Early detection of cancer increases the survival rate of the affected women. Machine learning approaches that are used for classification of breast cancer usual...
Datasets as Topic Radiographic Image Enhancement Breast Diseases Breast Neoplasms Support Vector Machine Neural Networks, Computer Early Detection of Cancer Humans Algorithms Mammography Female Sensitivity and Specificity
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