Systems biology in cardiovascular disease: a multiomics approach
Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …
new informatics approaches alongside conventional statistical methods. Systems theories …
[HTML][HTML] Current techniques for diabetes prediction: review and case study
S Larabi-Marie-Sainte, L Aburahmah, R Almohaini… - Applied Sciences, 2019 - mdpi.com
Diabetes is one of the most common diseases worldwide. Many Machine Learning (ML)
techniques have been utilized in predicting diabetes in the last couple of years. The …
techniques have been utilized in predicting diabetes in the last couple of years. The …
A historical account of types of fuzzy sets and their relationships
A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
A highly accurate firefly based algorithm for heart disease prediction
Abstracts This paper proposes a heart disease diagnosis system using rough sets based
attribute reduction and interval type-2 fuzzy logic system (IT2FLS). The integration between …
attribute reduction and interval type-2 fuzzy logic system (IT2FLS). The integration between …
MIFH: A machine intelligence framework for heart disease diagnosis
Cardiovascular disease tops the list among all major causes of deaths worldwide. Though,
prognostication and in-time diagnosis can help in reducing the mortality rate as well as …
prognostication and in-time diagnosis can help in reducing the mortality rate as well as …
CC-integrals: Choquet-like copula-based aggregation functions and its application in fuzzy rule-based classification systems
This paper introduces the concept of Choquet-like Copula-based aggregation function (CC-
integral) and its application in fuzzy rule-based classification systems. The standard …
integral) and its application in fuzzy rule-based classification systems. The standard …
Preaggregation functions: Construction and an application
In this paper, we introduce the notion of preaggregation function. Such a function satisfies
the same boundary conditions as an aggregation function, but, instead of requiring …
the same boundary conditions as an aggregation function, but, instead of requiring …
CF-integrals: A new family of pre-aggregation functions with application to fuzzy rule-based classification systems
This paper introduces the family of C F-integrals, which are pre-aggregations functions that
generalizes the Choquet integral considering a bivariate function F that is left 0-absorbent …
generalizes the Choquet integral considering a bivariate function F that is left 0-absorbent …
HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis
NT Thong - Expert Systems with Applications, 2015 - Elsevier
The health care support system is a special type of recommender systems that play an
important role in medical sciences nowadays. This kind of systems often provides the …
important role in medical sciences nowadays. This kind of systems often provides the …
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …
applications has contributed to abundance of big data. Current solutions for efficient data …