Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

The key question of precision medicine is whether it is possible to find clinically actionable
granularity in diagnosing disease and classifying patient risk. The advent of next-generation …

Smart healthcare systems require recording, transmitting and processing large volumes of
multimodal medical data generated from different types of sensors and medical devices …

Breast cancer is the leading reason of death among women aged 35 to 54. Breast cancer
diagnosis still presents significant challenges, and preventing the disease's most severe …

The role of a healthcare practitioner is to diagnose a disease and find an optimum means for
suitable treatment. This has been the most challenging task over the years. The researchers …

Typically acute deterioration in sick people is preceded by subtle changes in the
physiological parameters such as pulse and blood pressure. The Modified Early Warning …

The fuzzy Kalman filter (FKF), introduced some years ago, is revisited. In the initial version,
trapezoidal possibility distributions functions instead of gaussian probability distributions …

SOFT COMPUTING techniques play an important role for decision-making applications with
imprecise and uncertain knowledge. The application of fuzzy SOFT COMPUTING …

This paper presents the properties, identification issues and utilisation of a new concept of
probabilistic fuzzy system for the innovative project risk assessment. This system constitutes …

In this article, we propose a novel distributed Kalman filter based on the possibilistic
framework to deal with the fuzzy noises over multiagent systems. To describe the fuzzy …