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Developing Countries

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Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries.

Studies in health technology and informatics
The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict p...

The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network.

International journal of environmental research and public health
Resettlement affects not only the resettlers' production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientif...

Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.

International journal of health geographics
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative s...

Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings.

The journal of trauma and acute care surgery
BACKGROUND: Mortality prediction aids clinical decision making and is necessary for quality improvement initiatives. Validated metrics rely on prespecified variables and often require advanced diagnostics, which are unfeasible in resource-constrained...

Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries.

Ultrasound in medicine & biology
Ultrasound imaging remains out of reach for most pregnant women in developing countries because it requires a trained sonographer to acquire and interpret the images. We address this problem by presenting a system that can automatically estimate the ...

Development of pedestrian crash prediction model for a developing country using artificial neural network.

International journal of injury control and safety promotion
Urban intersections in India constitute a significant share of pedestrian fatalities. However, model-based prediction of pedestrian fatalities is still in a nascent stage in India. This study proposes an artificial neural network (ANN) technique to d...

Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner for stroke survivors. To facilitate rehabilitation of the wrist and fingers joint, an electromechanical exoskeleton was developed that simultaneously m...

Assessing the field of health policy and systems research using symposium abstract submissions and machine learning techniques.

Health policy and planning
The field of health policy and systems research (HPSR) has grown rapidly in the past decade. Examining recently aggregated data from the Global Symposia on Health Systems Research, a key global fora for HPSR convened by the largest international soci...