Citation

Ge H, Gao K, Li S, Wang W, Chen Q, Lin X, Huan Z, Su X, Yang X. Int. J. Environ. Res. Public Health 2021; 18(5).

Copyright

(Copyright © 2021, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph18052414

PMID

unavailable

Abstract

It is very important to have a comprehensive understanding of the health status of a country's population, which helps to develop corresponding public health policies. Correct inference of the underlying cause-of-death for citizens is essential to achieve a comprehensive understanding of the health status of a country's population. Traditionally, this relies mainly on manual methods based on medical staff's experiences, which require a lot of resources and is not very efficient. In this work, we present our efforts to construct an automatic method to perform inferences of the underlying causes-of-death for citizens. A sink algorithm is introduced, which could perform automatic inference of the underlying cause-of-death for citizens. The results show that our sink algorithm could generate a reasonable output and outperforms other stat-of-the-art algorithms. We believe it would be very useful to greatly enhance the efficiency of correct inferences of the underlying causes-of-death for citizens.

Language: en

Keywords

medical service; automatical; cause-of-death inference; public heath