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 …

Healthcare-associated infections (HAIs) pose significant challenges in healthcare systems,
with preventable surveillance playing a crucial role. Traditional surveillance, although …

A large clonal outbreak caused by vancomycin-resistant Enterococcus faecium (VRE)
affected the Bern University Hospital group from the end of December 2017 until July 2020 …

Allergic reactions can range from mild discomfort to life-threatening situations. To manage
the healthcare difficulty, an efficient allergens mapping is required by mapping the allergies …

In the domain of complex networks, the identification of influential nodes plays a crucial role
in ensuring network stability and facilitating efficient information dissemination. Although the …

Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face
in the future. There have been various attempts to preserve the efficacy of existing …

In literature, many studies try to analyze healthcare usage and generated decision support
systems. In this paper, the aim is to generate a decision support system for insurance …

Despite these challenges, the future of ML in IPC and ASP is promising, with
interdisciplinary collaboration identified as a key factor in overcoming existing barriers. ML's …

In this overview, we articulate research needs and opportunities in the field of infection
prevention that have been identified from insights gained during operative infection …

BackgroundHealthcare-associated infections (HAIs) pose a significant challenge to patient
safety and healthcare systems worldwide. These infections, acquired during medical care …