Back to search

Article

Effectiveness of Cascading Time Series Models Based on Meteorological Factors in Improving Health Risk Prediction

2021-06-01

Abstract excerpt

<title>Abstract</title> <p>Meteorological factors, which are cyclical and regular, have an essential impact on human health. Accurate health risk prediction based on meteorological factors is essential for optimal resource allocation in healthcare units. However, due to the non-stationary and nonlinear of the original hospitalization sequence, traditional methods are less robust to predict it. This study aims to...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1a8954cd-245d-5a28-82a7-f3c5d7fe8504
DOI
10.21203/rs.3.rs-544703/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Effectiveness of Cascading Time Series Models Based on Meteorological Factors in Improving Health Risk PredictionDOI 10.21203/rs.3.rs-544703/v1
Select a neighboring publication to make it the new centre.