A multimodal framework for extraction and fusion of satellite images and public health data
In low-and middle-income countries, the substantial costs associated with traditional data
collection pose an obstacle to facilitating decision-making in the field of public health …
collection pose an obstacle to facilitating decision-making in the field of public health …
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications
Objective: Large-scale multi-modal deep learning models and datasets have revolutionized
various domains such as healthcare, underscoring the critical role of computational power …
various domains such as healthcare, underscoring the critical role of computational power …
[HTML][HTML] A multi-modal satellite imagery dataset for public health analysis in colombia
We introduce a cost-effective public health analysis solution for low-and middle-income
countries—the Multi-Modal Satellite Imagery Dataset in Colombia. By leveraging high …
countries—the Multi-Modal Satellite Imagery Dataset in Colombia. By leveraging high …
Spatio-temporal prediction of dengue outbreaks using neural networks with climatic and socioeconomic factors in colombian municipalities
J Mendoza Chirinos - 2024 - repositorio.uniandes.edu.co
Resumen en español Esta tesis se centra en el desarrollo de un modelo de red neuronal
espacio-temporal para predecir brotes de dengue en municipios colombianos. Integrando …
espacio-temporal para predecir brotes de dengue en municipios colombianos. Integrando …
[PDF][PDF] AI technology for detecting dengue: A systematic
M Barik, A Pattanayak, S Mukherjee, S Koner, S Tewari… - 2024 - researchgate.net
This systematic review explores the potential and advancements of AI technology in the
detection and diagnosis of dengue fever. Dengue, a mosquito-borne viral infection, poses …
detection and diagnosis of dengue fever. Dengue, a mosquito-borne viral infection, poses …