AIMC Topic: Rural Population

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Successful Use of a 5G-Based Robot-Assisted Remote Ultrasound System in a Care Center for Disabled Patients in Rural China.

Frontiers in public health Jul 18, 2022
BACKGROUND: Disability has become a global population health challenge. Due to difficulties in self-care or independent living, patients with disability mainly live in community-based care centers or institutions for long-term care. Nonetheless, thes...
Humans Persons with Disabilities Rural Population Robotics Aged Male Aged, 80 and over Middle Aged Adult China Ultrasonography
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Deep Learning-Based Artificial Neural Network-Cellular Automata Model in Constructing Landscape Gene in Shaanxi Ancient Towns under Rural Revitalization.

Computational intelligence and neuroscience Jul 16, 2022
With the development of modern industrialization, the rational planning of land resources, especially rural settlements (RSs), has become an important part of rural revitalization. Optimizing the RS spatial layout and enhancing its evolution simulati...
Rural Population Cellular Automata Humans Neural Networks, Computer Deep Learning China Cities
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The impact of unconditional cash and food assistance on contraceptive expenditure of rural households in Coastal Bangladesh: Evidence from fuzzy RDD.

PloS one Jan 21, 2022
This study investigates the impact of unconditional cash and food (UCF) assistance on the monthly contraceptive expenditure of rural households in coastal Bangladesh using a fuzzy regression discontinuity design (RDD). Eligibility for UCF assistance ...
Female Young Adult Adult Male Humans Bangladesh Middle Aged Contraception Adolescent Medical Assistance Rural Population Food Assistance Fuzzy Logic
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Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach.

PloS one Nov 3, 2021
During the COVID-19 pandemic, West Virginia developed an aggressive SARS-CoV-2 testing strategy which included utilizing pop-up mobile testing in locations anticipated to have near-term increases in SARS-CoV-2 infections. This study describes and com...
Humans Predictive Value of Tests Machine Learning COVID-19 Testing Forecasting COVID-19 West Virginia Incidence Rural Population Models, Statistical
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Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Oct 25, 2021
BACKGROUND: Disparities in the stage at diagnosis for breast cancer have been independently associated with various contextual characteristics. Understanding which combinations of these characteristics indicate highest risk, and where they are locate...
Adult Breast Neoplasms Middle Aged United States Phenotype Female Aged SEER Program Poverty Areas Medically Uninsured Rural Population Residence Characteristics Neoplasm Invasiveness Mammography Humans Machine Learning
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Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.

PloS one Sep 24, 2021
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...
Hospitals, Public Patient Satisfaction Bangladesh Patient Acceptance of Health Care Humans Rural Health Services Machine Learning Models, Statistical Forecasting Personal Satisfaction Female Telemedicine Surveys and Questionnaires Latent Class Analysis Young Adult Adolescent Adult Rural Population Male Middle Aged
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Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.

Hypertension research : official journal of the Japanese Society of Hypertension Sep 3, 2021
Current studies have shown the controversial effect of genetic risk scores (GRSs) in hypertension prediction. Machine learning methods are used extensively in the medical field but rarely in the mining of genetic information. This study aims to deter...
Prospective Studies Risk Factors China Cohort Studies Rural Population Hypertension Humans Machine Learning
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Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso.

Parasites & vectors Jun 29, 2021
BACKGROUND: Improving the knowledge and understanding of the environmental determinants of malaria vector abundance at fine spatiotemporal scales is essential to design locally tailored vector control intervention. This work is aimed at exploring the...
Environment Insect Bites and Stings Seasons Mosquito Control Mosquito Vectors Humans Machine Learning Animals Rural Population Malaria Burkina Faso
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Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan.

PloS one Feb 8, 2021
Universal primary education is critical for individual academic growth and overall adult productivity of nations. Estimates indicate that 25% of 59 million primary age out of school children drop out and early grade failure is one of the factors. An ...
Humans Artificial Intelligence Machine Learning Algorithms Language Female Educational Status Mathematics Education Sensitivity and Specificity Male Child Educational Measurement Rural Population Electroencephalography Pakistan
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Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network.

Sensors (Basel, Switzerland) Oct 25, 2020
New ongoing rural construction has resulted in an extensive mixture of new settlements with old ones in the rural areas of China. Understanding the spatial characteristic of these rural settlements is of crucial importance as it provides essential in...
Rural Population Humans Environment Design Neural Networks, Computer Decision Making China Housing
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