Covid-19 Patient Count Prediction Using LSTM
NeuroQuantology · 2023
In Wuhan, China,the COVID-19 pandemic first emerged, in December 2019, and it has reached to over nearly 200 countries in a matter of weeks.Every country that was affected by the disease began taking the necessary precautions to avert it from spreading, give sick individuals the best medical care possible, and take preventative measures to restrict the spread.The fact that those with modest symptoms and others who don't experience any negative effects might distribute COVID-19 is the cause of its extensive distribution.Individuals' pre-existing medical conditions, like a cardiovascular problem, high blood pressure, diabetes, weakened immune system, or age-related frailty, are also linked to critical cases and fatality rates.The time series prediction approach was used by the forecasting model.A dataset repository, such as the UCI repository, serves as the input for the Pakistan Covid-19 dataset.The pre-processing procedure must then be carried out.The data separation must then be put into practise.We must divide the data into test and train groups in this phase.The feature selection approach must then be put into practise.The LSTM algorithm must then be used to forecast the covid-19 patient population in Pakistan.Last but not least, the research findings indicate that the MAPE (Mean absolute Percentage Error).