@article{ref1,
title="An automatic approach designed for inference of the underlying cause-of-death of citizens",
journal="International journal of environmental research and public health",
year="2021",
author="Ge, Hui and Gao, Keyan and Li, Shaoqiong and Wang, Wei and Chen, Qiang and Lin, Xialv and Huan, Ziyi and Su, Xuemei and Yang, Xu",
volume="18",
number="5",
pages="-",
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.<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph18052414",
url="http://dx.doi.org/10.3390/ijerph18052414"
}