Crawling the German Health Web: Exploratory Study and Graph Analysis.

Richard Zowalla Thomas C Wetter Daniel Pfeifer

Published in: Journal of medical Internet research (2020)

The results indicate, that the presented crawler is a suitable method for acquiring a large fraction of the GHW. As desired, the computed statistical data allows for determining major information hubs and important content providers on the GHW. In the future, the acquired data may be used to assess important topics and trends but also to build health-specific search engines.

Keyphrases

public health
healthcare
health information
electronic health record
mental health
big data
health promotion
machine learning
current status
data analysis
human health
diffusion weighted imaging
convolutional neural network
social media
deep learning
climate change
neural network