Data mining techniques such as classification, clustering, and prediction are used
extensively for medical diagnosis in epidemiological fields. A hybrid model based on Factor …

Extreme learning machine (ELM) is a new learning algorithm with single-hidden layer feed-
forward neural network (SLFN). In this study, an ensemble of ELMs is used to predict breast …

In this work, a new identification model, based on extreme learning machine (ELM), to better
identify Erythemato–Squamous skin diseases have been proposed and implemented and …

Abstract Machine learning techniques are being increasingly used for detection and
diagnosis of diseases for its accuracy and efficiency in pattern classification. In this paper …

Breast cancer is the second cause of dead among women. Early detection followed by
appropriate cancer treatment can reduce the deadly risk. Medical professionals can make …

This paper presents a novel approach to automatic detection of the erythemato-squamous
diseases based on fuzzy extreme learning machine (FELM). Enormous computational efforts …

Breast cancer deaths are increasing rapidly due to the abnormal growth of breast cells in the
women's milk duct. Manual cancer diagnosis from mammogram images is also difficult for …

In this paper, a novel hybrid method, which integrates an effective filter maximum relevance
minimum redundancy (MRMR) and a fast classifier extreme learning machine (ELM), has …

Globally, breast cancer is one of the most significant causes of death among women. Early
detection accompanied by prompt treatment can reduce the risk of death due to breast …

Breast cancer has been identified as one of the major diseases that have led to the death of
women in recent decades. Mammograms are extensively used by physicians to diagnose …