Abstract Machine learning has profoundly transformed various industries, notably
revolutionizing the retail sector through diverse applications that significantly enhance …

Text mining presents unique challenges in extracting meaningful information from the vast
volumes of digital documents. Traditional filter feature selection methods often fall short in …

The multiple regression model is very popular among researchers in both field of social and
science because it is easy to interpret and have a well-established theoretical framework …

Background: Vaccination is key for mitigating the impact of recurring seasonal influenza
epidemics. Despite the efficacy and safety of influenza vaccines, achieving optimal …

Manageable symptoms can be a critical and important thing for people with Parkinson's
disease (PWP) in order to maintaining their quality of life. PWP early detection and …

Air pollution is one of the problems in society. Air pollutions affect human health and
environment. In Indonesia, air quality index is measured by the level of particulate matter 10 …

Abstract Background and Aims Like early diagnosis, predicting the survival of patients with
Coronavirus Disease 2019 (COVID‐19) is of great importance. Survival prediction models …

The challenge of class imbalance in multiclass medical datasets is addressed in this study,
through the proposal of modified classifiers premised on multiclass logistic regression. The …

The population of herpetofauna animals in Indonesia is decreasing due to hunting, habitat
destruction, and illegal trade. Apart from that, there is very little introduction to Herpetofauna …

Abstract The Identification of Anura (frog) based on pattern and color is a complex problem
that takes a long time and costs quite a lot. Therefore, this study uses Machine Learning …