Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
Knowledge-Based Systems ; 256, 2022.
Article in English | Web of Science | ID: covidwho-2150238

ABSTRACT

The uncertain infection transmission causes challenges in accurate disease prediction. Numerous methods have been proposed to capture the temporal pictures from past observations within equal time intervals, which are called single-grained time series. However, these methods are not suitable for capturing uncertain temporal dynamics from infectious disease time series, since the infectious diseases may propagate in the incubation period. To address this issue, this paper proposes a Dual-Grained Directional Representation (DGDR) to generate predictions, via consolidating the representations of an equal-grained time series and several fine-grained time series. Firstly, the proposed DGDR learns a transformed segmentation into three kinds of representations. And then those representations from both equal-grained data and fine-grained data are temporally consolidated to connect with outputs. Extensive experiments on two real infectious disease datasets are done to validate the proposed DGDR. Compared with the other twelve methods, MAE value is decreased by 31.5%, RMSE value is decreased by 29.9%, and R-2 value is improved by 87.6%. (c) 2022 Elsevier B.V. All rights reserved.

2.
Zhonghua Jie He He Hu Xi Za Zhi ; 44(5): 492-496, 2021 May 12.
Article in Chinese | MEDLINE | ID: covidwho-1556242
3.
Journal for Immunotherapy of Cancer ; 8:A292-A293, 2020.
Article in English | Web of Science | ID: covidwho-1105516
4.
Zhonghua Jie He He Hu Xi Za Zhi ; 43(5): 401-408, 2020 May 12.
Article in Chinese | MEDLINE | ID: covidwho-6079

ABSTRACT

Novel coronavirus pneumonia was a novel coronavirus infection that has dominated pulmonary infection since December 2019. The main manifestations were fever, dry cough, shortness of breath, normal or leukopenia in peripheral blood and changes in chest CT and in severe cases, multiple organ failure might occur. The National Health Commission, PRC has revised the consensus on diagnosis and treatment seven times in a short period of time, indicating the growing understanding of the disease. Patients with novel coronavirus pneumonia usually had history of travelling or living in the epidemic area including Wuhan within 14 days before onset, or have been exposed to patients who had fever or respiratory symptoms from the epidemic area, or had clustering diseases. However, novel coronavirus pneumonia was becoming more and more blurred after vanishing epidemic. The diagnosis and differential diagnosis of novel coronavirus pneumonia were challenges not only because of large number of tourists increasing dramatically after the relieving of epidemic, but also patients with other diseases from different areas to search for medical care. In this article, the clinical and chest imaging features of the novel coronavirus pneumonia were reviewed and compared with other infections and non-infectious diffuse pulmonary diseases. We try to find the similarities and differences among them, and to identify clues to the diagnosis of novel coronavirus pneumonia, so as to ensure accurate diagnosis and treatment.


Subject(s)
Coronavirus Infections , Diagnosis, Differential , Hospitals, General , Lung Diseases , Pandemics , Pneumonia, Viral , Pneumonia , Betacoronavirus/isolation & purification , COVID-19 , Coronavirus Infections/complications , Hospitals, General/methods , Humans , Lung Diseases/diagnosis , Pneumonia/diagnosis , Pneumonia/etiology , Pneumonia, Viral/complications , SARS-CoV-2
SELECTION OF CITATIONS
SEARCH DETAIL