Predicting mortality rate and associated risks in COVID-19 patients
نویسندگان
چکیده
The genesis of novel coronavirus (COVID-19) was from Wuhan city, China in December 2019, which later declared as a global pandemic view its exponential rise and spread around the world. Resultantly, scientific medical research communities globe geared up to curb spread. In this manuscript, authors claim competence AI-mediated methods predict mortality rate. Efficient prediction model enables healthcare professionals be well prepared handle unpredictable situation. prime focus study is investigate efficient model. order determine most effective model, perform comparative analysis numerous models. performance various models compared using error metrics viz. Root mean square error, absolute $${R}^{2}$$ . During analysis, Auto seasonal auto regressive integrated moving average proves over
منابع مشابه
Predicting the Prevalence of COVID-19 and its Mortality Rate in Iran Using Lyapunov Exponent
Background: COVID-19 was first reported in late December 2019 in Wuhan, China, and spread rapidly throughout the world including Iran. Objective The purpose of this paper is to predict the prevalence of coronavirus and the number of confirmed cases and deaths in Iran based on the theory of chaos and measuring the Lyapunov exponent. Methods: In this analytical study, the number of confirmed ca...
متن کاملsecuritization of mortality risks in life annuities
insurers have in the past few decades faced longevity risks - the risk that annuitants survive more than expected - and therefore need a new approach to manage this new risk. in this dissertation we survey methods that hedge longevity risks. these methods use securitization to manage risk, so using modern financial and insurance pricing models, especially wang transform and actuarial concepts, ...
15 صفحه اولAssociation between Laboratory Findings and Mortality of Hospitalized Patients with Covid-19 in Mashhad, Iran
Background and Objective: COVID-19 has enforced high burden on health systems universally. To better allocate limited health equipment, we aimed to investigate the prognostic impacts of laboratory parameters. Materials and Methods: All SARS-CoV-2 patients admitted to Imam-Reza University Hospital, Mashhad, Iran, during three COVID19 peak periods in Iran (March to April 2020, July to August, an...
متن کاملFacemask Risks during the COVID-19 Crisis
Introduction: With the increasing severity of the COVID-19 epidemic, wearing a mask was recommended. This recommendation seems to have created concern among the public. Wearing a mask generally reduces the risk of virus and therefore potentially saves lives. In healthy populations, wearing a mask does not appear to cause any harmful physiological changes, and the potentially life-saving benefit...
متن کاملCOVID-19 and ICU admission associated predictive factors in Iranian patients
Background: The pandemic situation created an overwhelmed needs for ICU facilities, according to this problem, the need of accurate the management of facilities represents bold. In this study, prognostic risk factors for ICU admission among COVID-19 hospitalized patients were evaluated. Methods: From 22 February to April 20, 2020. Totally,214 COVID-19 patients participated in this study. The i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Spatial Information Research
سال: 2021
ISSN: ['2366-3294', '2366-3286']
DOI: https://doi.org/10.1007/s41324-021-00379-5