AIMC Topic: Rural Population

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High-resolution rural poverty mapping in Pakistan with ensemble deep learning.

PloS one Apr 4, 2023
High resolution poverty mapping supports evidence-based policy and research, yet about half of all countries lack the survey data needed to generate useful poverty maps. To overcome this challenge, new non-traditional data sources and deep learning t...
Rural Population Family Characteristics Poverty Pakistan Humans Deep Learning
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Combining deep learning and crowd-sourcing images to predict housing quality in rural China.

Scientific reports Nov 15, 2022
Housing quality is essential to human well-being, security and health. Monitoring the housing quality is crucial for unveiling the socioeconomic development status and providing political proposals. However, depicting the nationwide housing quality i...
China Rural Population Housing Humans Deep Learning Housing Quality
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Economic Evaluation of Telerobotic Ultrasound Technology to Remotely Provide Ultrasound Services in Rural and Remote Communities.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 30, 2022
INTRODUCTION: Telerobotic ultrasound technology allows radiologists and sonographers to remotely provide ultrasound services in underserved areas. This study aimed to compare costs associated with using telerobotic ultrasound to provide ultrasound se...
Cost-Benefit Analysis Humans Rural Population Ultrasonography Canada Robotics
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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...
Robotics Adult Male Middle Aged Persons with Disabilities Rural Population China Ultrasonography Humans Aged Aged, 80 and over
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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...
Deep Learning China Cities Humans Neural Networks, Computer Rural Population Cellular Automata
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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 Medical Assistance Food Assistance Fuzzy Logic Bangladesh Contraception Middle Aged Adolescent Rural Population
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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...
Models, Statistical Predictive Value of Tests COVID-19 Testing West Virginia Forecasting Humans Incidence Machine Learning Rural Population COVID-19
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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...
SEER Program Poverty Areas Medically Uninsured Breast Neoplasms Middle Aged United States Neoplasm Invasiveness Female Mammography Aged Rural Population Adult Humans Residence Characteristics Machine Learning Phenotype
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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...
Rural Health Services Hospitals, Public Patient Satisfaction Adult Bangladesh Humans Male Patient Acceptance of Health Care Machine Learning Middle Aged Rural Population Surveys and Questionnaires Forecasting Models, Statistical Personal Satisfaction Latent Class Analysis Female Adolescent Telemedicine Young Adult
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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...
Machine Learning Prospective Studies Risk Factors Rural Population Hypertension China Cohort Studies Humans
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