Abstract-Machine learning is changing all aspects of life, and it is becoming increasingly common in real-world situations. The application of machine learning has contributed significantly to numerous industries,spanning education, healthcare, technology, business,entertainment, and transportation. The death of the peasantry is predicted based on last year's death rated statistics. This study examines various machine learning techniques against the presented dataset and proposes a machine learning-based solution for death rate prediction.Predicting disease rate caused by a particular disease has enormous promise for enhancing patient outcomes and guiding public health policy. We may anticipate continuing development in this area and more c...
This research analyzed different aspects of coronavirus disease (COVID-19) for patients who have cor...
Abstract Background Machine learning (ML) algorithms have been successfully employed for prediction ...
Abstract - In each year many different types of new diseases are spreading all over the world, eac...
Estimation of future mortality rates still plays a central role among life insurers in pricing their...
More than a year has passed since the report of the first case of coronavirus disease 2019 (COVID), ...
More than a year has passed since the report of the first case of coronavirus disease 2019 (COVID), ...
As global demographics change, ageing is a global phenomenon which is increasingly of interest in ou...
The role of Machine Learning (ML) in healthcare is based on the ability of a machine to analyse the ...
Abstract— The abrupt increase in the number of illnesses and high fatality rates during the covid-19...
The COVID-19 outbreak is currently one of the biggest challenges facing countries around the world. ...
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of death. Mac...
BACKGROUND: Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion ...
Abstract—The widespread application of data mining is highly noticeable fields like e-business, mark...
Death is an inevitable part of life and while it cannot be delayed indefinitely it is possible to pr...
Methods We developed a prediction model to predict patients at risk for mortality using only laborat...
This research analyzed different aspects of coronavirus disease (COVID-19) for patients who have cor...
Abstract Background Machine learning (ML) algorithms have been successfully employed for prediction ...
Abstract - In each year many different types of new diseases are spreading all over the world, eac...
Estimation of future mortality rates still plays a central role among life insurers in pricing their...
More than a year has passed since the report of the first case of coronavirus disease 2019 (COVID), ...
More than a year has passed since the report of the first case of coronavirus disease 2019 (COVID), ...
As global demographics change, ageing is a global phenomenon which is increasingly of interest in ou...
The role of Machine Learning (ML) in healthcare is based on the ability of a machine to analyse the ...
Abstract— The abrupt increase in the number of illnesses and high fatality rates during the covid-19...
The COVID-19 outbreak is currently one of the biggest challenges facing countries around the world. ...
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of death. Mac...
BACKGROUND: Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion ...
Abstract—The widespread application of data mining is highly noticeable fields like e-business, mark...
Death is an inevitable part of life and while it cannot be delayed indefinitely it is possible to pr...
Methods We developed a prediction model to predict patients at risk for mortality using only laborat...
This research analyzed different aspects of coronavirus disease (COVID-19) for patients who have cor...
Abstract Background Machine learning (ML) algorithms have been successfully employed for prediction ...
Abstract - In each year many different types of new diseases are spreading all over the world, eac...