An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: medical diagnosis applications
SM Mousavi, S Abdullah, STA Niaki… - Knowledge-Based …, 2021 - Elsevier
Uncertainty is a critical factor in medical datasets needed to be overcome for increasing
diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a …
diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a …
[HTML][HTML] Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert
variability when making difficult decisions. In contrast, the vast majority of computerized …
variability when making difficult decisions. In contrast, the vast majority of computerized …
Intelligent decision support system for breast cancer
Breast cancer is the second leading cause of cancer deaths in women worldwide and
occurs in nearly one out of eight women. Currently there are three techniques to diagnose …
occurs in nearly one out of eight women. Currently there are three techniques to diagnose …
AIRS-GA: a hybrid deterministic classifier based on artificial immune recognition system and genetic algorithm
For many engineering and decision-making problems, a deterministic model is more
suitable than a stochastic one. In fact, in domains like medicine, security, military, etc …
suitable than a stochastic one. In fact, in domains like medicine, security, military, etc …
Hybrid computing based intelligent system for breast cancer diagnosis
Breast cancer is one of the major causes of death in women which accounts one out of eight.
As primary cause is still unknown, early detection increases better treatment and improves …
As primary cause is still unknown, early detection increases better treatment and improves …
[PDF][PDF] Artificial immunity and features reduction for effective breast cancer diagnosis and prognosis
MM Al-Anezi, MJ Mohammed… - International Journal of …, 2013 - researchgate.net
The diagnosis and prognosis of breast cancer is an important, realworld medical problem.
As an intrusion detection problem is one of the applications of artificial immune system, in …
As an intrusion detection problem is one of the applications of artificial immune system, in …
[PDF][PDF] Investigation of artificially immune system with using of fuzzy logic
OI Shiryayeva, TG Denisova - Journal of Computational …, 2015 - researchgate.net
This article presents the results of the development of immune model of organism reactions
to therapeutic doses of drugs based on fuzzy logic methods. There was developed an …
to therapeutic doses of drugs based on fuzzy logic methods. There was developed an …
Breast cancer: A technological review
In this chapter authors did one technological survey for breast cancer and found very large
scale of people working on this field. So many techniques are used in that field and they …
scale of people working on this field. So many techniques are used in that field and they …
[PDF][PDF] A Novel Approach for Identifying Critical Nuggets Using PCA with ANOVA
K Devi, M Moorthi - academia.edu
Breast cancer ranks second as a reason behind cancer death in girls, following closely
behind carcinoma. Statistics counsel the chance of designation nearly two lakhs new cases …
behind carcinoma. Statistics counsel the chance of designation nearly two lakhs new cases …