Fuzzy cognitive map applications in Medicine over the last two decades: a review study
Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers
because they can capture intricate associations among variables and generate precise …
because they can capture intricate associations among variables and generate precise …
Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue
Federated learning is a distributed machine learning approach developed to guarantee the
privacy and security of data stored on local devices. In healthcare, specifically in diseases of …
privacy and security of data stored on local devices. In healthcare, specifically in diseases of …
PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling
In this paper, we present a methodology based on fuzzy cognitive maps (FCMs) and
metaheuristic algorithms to generate prescriptive models, called PRescriptiVe FCM (PRV …
metaheuristic algorithms to generate prescriptive models, called PRescriptiVe FCM (PRV …
Modelling differential diagnosis of febrile diseases with fuzzy cognitive map
The report of the World Health Organization (WHO) about the poor accessibility of people
living in low-to-middle-income countries to medical facilities and personnel has been a …
living in low-to-middle-income countries to medical facilities and personnel has been a …
Explainability analysis: An in-depth comparison between Fuzzy Cognitive Maps and LAMDA
Currently, it has become very relevant that machine learning techniques can provide an
explanation of the results they generate, which is even more relevant in certain domains …
explanation of the results they generate, which is even more relevant in certain domains …
Machine learning-based detection of dengue from blood smear images utilizing platelet and lymphocyte characteristics
Dengue fever, also known as break-bone fever, can be life-threatening. Caused by DENV,
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …
An autonomous cycle of data analysis tasks for the clinical management of dengue
Dengue is the most widespread vector-borne disease worldwide. Timely diagnosis and
treatment of dengue is the main objective of medical professionals to decrease mortality …
treatment of dengue is the main objective of medical professionals to decrease mortality …
[HTML][HTML] Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
Febrile diseases are highly prevalent in tropical regions due to elevated humidity and high
temperatures. These regions, mainly comprising low-and middle-income countries, often …
temperatures. These regions, mainly comprising low-and middle-income countries, often …
[HTML][HTML] Precision farming using autonomous data analysis cycles for integrated cotton management
Precision farming (PF) allows the efficient use of resources such as water, and fertilizers,
among others; as well, it helps to analyze the behavior of insect pests, in order to increase …
among others; as well, it helps to analyze the behavior of insect pests, in order to increase …
Using fuzzy cognitive maps to evaluate the innovation in micro, small and medium-sized enterprises
Purpose This article presents a fuzzy cognitive map for the evaluation of innovation in
organizations. Design/methodology/approach The purpose of this paper is to develop a …
organizations. Design/methodology/approach The purpose of this paper is to develop a …