GIS

Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images

Accurate projections of seasonal agricultural output are essential for improving food security. However, the collection of agricultural information through seasonal agricultural surveys is often not timely enough to inform public and private …

Anesthesia Staffing Models and Geographic Prevalence Post-Medicare CRNA/Physician Exemption Policy

Three common staffing models for delivering anesthesia exist in the United States: services delivered by anesthesiologists only, services delivered by certified registered nurse anesthetists (CRNAs) only, and services delivered by anesthesiologist …

Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning

While governments, researchers, and NGOs are exploring ways to leverage big data sources for sustainable development, household surveys are still a critical source of information for dozens of the 232 indicators for the Sustainable Development Goals …

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

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in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. …

Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013

Tumor testing for mutations in the epidermal growth factor receptor (EGFR) gene is indicated for all newly diagnosed, metastatic lung cancer patients, who may be candidates for first-line treatment with an EGFR tyrosine kinase inhibitor. Few studies …