Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets

S Liu, W Li, P Gao, Y Sun - Reliability Engineering & System Safety, 2022 - Elsevier
Efficient emergency disposal on site after gas leakage is crucial to avoid accident escalatio
and expansion. However, current performance analysis studies of emerency disposal …

Cascading failures and resilience optimization of hospital infrastructure systems against the COVID-19

H Dui, K Liu, S Wu - Computers & Industrial Engineering, 2023 - Elsevier
The outbreak of the Coronavirus Disease 2019 (COVID-19) has put the resilience of a
country's healthcare infrastructure to the most severe test. The challenge of taking …

Scenario derivation and consequence evaluation of dust explosion accident based on dynamic Bayesian network

L Pang, M Zhang, K Yang, S Sun - Journal of Loss Prevention in the …, 2023 - Elsevier
In order to clarify the correlation between the evolution path of dust explosion accidents and
emergency decision-making, and to accurately predict the disaster damage levels of various …

Can infectious modeling be applicable globally: Lessons from COVID-19

DN Magana-Arachchi, RP Wanigatunge… - Current Opinion in …, 2022 - Elsevier
Contagious diseases are needed to be monitored to prevent spreading within communities.
Timely advice and predictions are necessary to overcome the consequences of those …

[HTML][HTML] Analysis of learning curves in predictive modeling using exponential curve fitting with an asymptotic approach

LS Vianna, AL Gonçalves, JA Souza - Plos one, 2024 - journals.plos.org
The existence of large volumes of data has considerably alleviated concerns regarding the
availability of sufficient data instances for machine learning experiments. Nevertheless, in …

[HTML][HTML] Predicting emergency health care demands due to respiratory diseases

JC Arias, MI Ramos, JJ Cubillas - International Journal of Medical …, 2023 - Elsevier
Background Timely care in the health sector is essential for the recovery of patients, and
even more so in the case of a health emergency. In these cases, appropriate management …

Application of machine learning in clinical predictive models for infectious diseases: a review

Z Ruiying, LIU Genyan - Chinese Journal of Schistosomiasis Control, 2023 - zgxfzz.com
Infectious diseases are one of the major threats to global public health. Inconvenience of
diagnosis and treatment frequently causes misdiagnosis, missing diagnosis or …

机器学习在感染性疾病临床预测模型中的应用进展

郑睿颖, 刘根焰 - 中国血吸虫病防治杂志, 2023 - zgxfzz.com
感染性疾病是全球公共卫生重大威胁之一. 由于其诊治的不便捷性, 常常造成误诊,
漏诊或过度治疗等, 引起严重临床后果. 作为人工智能的一个重要分支, 机器学习已被广泛应用于 …

[HTML][HTML] Transportation and Reserve of Emergency Medical Supplies during Public Health Events

J An, B Zhuo - Applied Sciences, 2023 - mdpi.com
When a public health event occurs, it is very difficult to guarantee a stable supply of
emergency medical supplies; this has a great impact on the efficiency of emergency rescue …

Prediction of Emergency Room Arrivals of Patients with Preeclampsia Disease Using Artificial Neural Network Model

F Parrales–Bravo, R Caicedo–Quiroz… - 2024 IEEE 4th …, 2024 - ieeexplore.ieee.org
The administration of a country's public health is an essential issue. Conversely,
preeclampsia ranks among the most frequent causes of maternal fatalities during …