The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …

The development and exploitation of several prominent Data mining techniques in
numerous real-world application areas (eg Industry, Healthcare and Bio science) has led to …

Abstract Machine learning (ML) methods can be leveraged to prevent the spread of deadly
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …

Background and aims: Since accurate forecasts help inform decisions for preventive health-
care intervention and epidemic control, this goal can only be achieved by making use of …

Infectious diseases present a global challenge, requiring accurate diagnosis, effective
treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising …

Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …

The complex, unpredictable nature of pathogen occurrence has required substantial efforts
to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning …

Infectious diseases are caused by microorganisms belonging to the class of bacteria,
viruses, fungi, or parasites. These pathogens are transmitted, directly or indirectly, and can …

Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …

Backgrounds SARS‐CoV‐2 is affecting different countries all over the world, with significant
variation in infection‐rate and death‐ratio. We have previously shown a presence of a …