ICU readmission is usually associated with an increased number of hospital death.
Predicting readmission helps to reduce such risks by avoiding early discharge, providing …

Background Short-term unplanned readmission is always neglected, especially for elderly
patients with coronary heart disease (CHD). However, tools to predict unplanned …

Estimating the conditional average treatment effect (CATE) from observational data is
relevant for many applications such as personalized medicine. Here, we focus on the …

Background Heart failure (HF) continues to be a significant public health issue, posing a
heightened risk of morbidity and mortality for both genders. Despite the widespread use of …

The growth of technology and the internet has brought significant negative impacts,
especially in terms of vulnerability to cybercrime, such as malware, in the Internet of Things …

This dissertation introduces methodologies that combine machine learning models with time-
series analysis to tackle data analysis challenges in varied fields. The first study enhances …

Diabetes is a long-term illness that poses a significant challenge to global healthcare. It is
associated with various complications that impact different organs and systems in the body …

Diabetes is a long-term illness that poses a significant challenge to global healthcare. It is
associated with various complications that impact different organs and systems in the body …