Piece-wise linear regression: A new approach to predict COVID-19 spreading

نویسندگان

چکیده

Abstract The coronavirus disease 2019 (COVID-19) pandemic is the most rapidly evolving global emergency since March 2020 and one of exercised topics in all aspects world. So far there are numerous articles that have been published related to COVID-19 various disciplines science social context. Since from very beginning, researchers trying address some fundamental questions like how long it will sustain when reach peak point spreading, what be population infections, cure, or death future. To such issues used several mathematical models beginning around goal predictions take strategic control disease. In cases, deviated real data. this paper, a model has which not explored earlier predictions. contribution work present variant linear regression piece-wise regression, performs relatively better compared other existing models. our study, data set states India used.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Gradient Boosting With Piece-Wise Linear Regression Trees

Gradient boosting using decision trees as base learners, so called Gradient Boosted Decision Trees (GBDT), is a very successful ensemble learning algorithm widely used across a variety of applications. Recently, various GDBT construction algorithms and implementation have been designed and heavily optimized in some very popular open sourced toolkits such as XGBoost and LightGBM. In this paper, ...

متن کامل

COVID-19: A New Virus as a Potential Rapidly Spreading in the Worldwide

Covid-19 is a novel virus with high affinity to spread in the community. In December 2019, it was first identified in Wuhan, China. The symptoms are non-specific, so fever, cough, dyspnea, are prominent features. Respiratory failure and mortality have also been reported. The most common lung CT scan findings are bilateral ground glass opacities.

متن کامل

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

15 صفحه اول

Antioxidant Supplements: A Promising Approach to improving COVID-19 Demonstrations

Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) that causes COVID-19 could progress to acute respiratory distress syndrome (ARDS). The immune cells' migration in response to virus lead to cell death by releasing oxidizing free radicals. These oxidizing free radicals mediate NF-κB activation and induce transcription of cytokine-producing genes that eventually a cytokine storm ensues...

متن کامل

Revalidating the Usefulness of a "Sector-Wise Regression" Approach to Predict Glaucomatous Visual Function Progression.

PURPOSE We previously developed a method to measure visual function progression using "Progression sectors," which were derived from a clustering analysis of pointwise rates of glaucomatous visual field (VF) progression; however, only short series of VFs, where pointwise linear regression (PLR) is typically not reliable, were analyzed. The purpose of the current study is to further investigate ...

متن کامل

ذخیره 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: IOP conference series

سال: 2021

ISSN: ['1757-899X', '1757-8981']

DOI: https://doi.org/10.1088/1757-899x/1020/1/012017