AIMC Journal:
International journal of environmental research and public health

Showing 401 to 410 of 494 articles

Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning.

International journal of environmental research and public health Feb 9, 2020
: The primary care service in Catalonia has operated an asynchronous teleconsulting service between GPs and patients since 2015 (eConsulta), which has generated some 500,000 messages. New developments in big data analysis tools, particularly those in...
Health Personnel Primary Health Care Humans Supervised Machine Learning Artificial Intelligence Remote Consultation Algorithms Spain
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Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living.

International journal of environmental research and public health Feb 8, 2020
Physical activity is essential for physical and mental health, and its absence is highly associated with severe health conditions and disorders. Therefore, tracking activities of daily living can help promote quality of life. Wearable sensors in this...
Humans Algorithms Female Quality of Life Supervised Machine Learning Reproducibility of Results Exercise Adult Activities of Daily Living Smartphone Actigraphy Male Middle Aged
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Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality.

International journal of environmental research and public health Jan 31, 2020
(1) Medical research has shown an increasing interest in machine learning, permitting massive multivariate data analysis. Thus, we developed drug intoxication mortality prediction models, and compared machine learning models and traditional logistic ...
Area Under Curve Mortality Republic of Korea Neural Networks, Computer Alcoholic Intoxication Risk Assessment Machine Learning Logistic Models
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Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond.

International journal of environmental research and public health Jan 28, 2020
There have been prior attempts to utilize machine learning to address issues in the medical field, particularly in diagnoses using medical images and developing therapeutic regimens. However, few cases have demonstrated the usefulness of machine lear...
Tokyo Humans Early Detection of Cancer Machine Learning Physical Examination Colorectal Neoplasms Social Change
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Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation.

International journal of environmental research and public health Jan 24, 2020
Numerous societal trends are compelling a transition from inpatient to outpatient venues of care for medical rehabilitation. While there are advantages to outpatient rehabilitation (e.g., lower cost, more relevant to home and community function), the...
Outpatients Rehabilitation Humans Artificial Intelligence Big Data Reproducibility of Results Data Science Aged Bayes Theorem Exercise
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Predicting the Associations between Meridians and Chinese Traditional Medicine Using a Cost-Sensitive Graph Convolutional Neural Network.

International journal of environmental research and public health Jan 23, 2020
Natural products are the most important and commonly used in Traditional Chinese Medicine (TCM) for healthcare and disease prevention in East-Asia. Although the Meridian system of TCM was established several thousand years ago, the rationale of Merid...
Medicine, Chinese Traditional Biological Products Meridians Neural Networks, Computer Algorithms Deep Learning
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Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model.

International journal of environmental research and public health Jan 23, 2020
Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate. The most popular tool for diagno...
Decision Trees Coronary Artery Disease Humans Female Middle Aged Aged Aged, 80 and over Diagnosis, Computer-Assisted Adult Support Vector Machine Male
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Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation.

International journal of environmental research and public health Jan 21, 2020
Motor imagery has been suggested as an efficient alternative to improve the rehabilitation process of affected limbs. In this study, a low-cost robotic guide is implemented so that linear position can be controlled via the user's motor imagination of...
Imagination Rehabilitation Humans Robotics Arm Brain-Computer Interfaces
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Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation.

International journal of environmental research and public health Jan 19, 2020
A few decades ago, robotics started to be implemented in the medical field, especially in the rehabilitation of patients with different neurological diseases that have led to neuromuscular disorders. The main concern regarding medical robots is their...
Arthritis, Gouty Elbow Wrist Stroke Rehabilitation Male Middle Aged Risk Assessment Fuzzy Logic Parkinson Disease Robotics Humans Female Aged
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Prediction of Myopia in Adolescents through Machine Learning Methods.

International journal of environmental research and public health Jan 10, 2020
According to literature, myopia has become the second most common eye disease in China, and the incidence of myopia is increasing year by year, and showing a trend of younger age. Previous researches have shown that the occurrence of myopia is mainly...
Humans Machine Learning Myopia China Adolescent Female Reproducibility of Results Male Models, Statistical Data Collection
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