Fuzzy expert systems for prediction of ICU admission in patients with COVID-19
The pandemic COVID-19 disease has had a dramatic impact on almost all countries around
the world so that many hospitals have been overwhelmed with COVID-19 cases. As medical …
the world so that many hospitals have been overwhelmed with COVID-19 cases. As medical …
Interval type-2 enhanced possibilistic fuzzy c-means clustering for gene expression data analysis
S Sotudian, MHF Zarandi - arXiv preprint arXiv:2101.00304, 2021 - arxiv.org
Both FCM and PCM clustering methods have been widely applied to pattern recognition and
data clustering. Nevertheless, FCM is sensitive to noise and PCM occasionally generates …
data clustering. Nevertheless, FCM is sensitive to noise and PCM occasionally generates …
A new validity index for fuzzy-possibilistic c-means clustering
In some complicated datasets, due to the presence of noisy data points and outliers, cluster
validity indices can give conflicting results in determining the optimal number of clusters …
validity indices can give conflicting results in determining the optimal number of clusters …
Interval type II fuzzy rough set rule based expert system to diagnose chronic kidney disease
M Abdolkarimzadeh, MH Fazel Zarandi… - … : 37th Conference of the …, 2018 - Springer
Chronic kidney disease is a worldwide public health problem with an increasing incidence
and prevalence, poor outcomes, and high cost. Diagnosis of Chronic Kidney Disease has …
and prevalence, poor outcomes, and high cost. Diagnosis of Chronic Kidney Disease has …
Robust learning to rank models and their biomedical applications
S Sotudian - 2023 - search.proquest.com
There exist many real-world applications such as recommendation systems, document
retrieval, and computational biology where the correct ordering of instances is of equal or …
retrieval, and computational biology where the correct ordering of instances is of equal or …