[HTML][HTML] Mayfly optimization algorithm: a review

MN Bogar, ID Shirodkar, O Kulkarni… - Journal of Mechatronics …, 2024 - extrica.com
This paper gives a review on the bio-inspired optimization methodology known as mayfly
(MA) algorithm in order to resolve issues in optimization techniques. It is a newly formed …

Comparative analysis of predictive machine learning algorithms for diabetes mellitus

K Kangra, J Singh - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Diabetes mellitus (DM) is a serious worldwide health issue, and its prevalence is rapidly
growing. It is a spectrum of metabolic illnesses defined by perpetually increased blood …

Rule extraction from biased random forest and fuzzy support vector machine for early diagnosis of diabetes

J Hao, S Luo, L Pan - Scientific Reports, 2022 - nature.com
Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which
delays treatment. Machine learning methods have been applied to increase the diagnosis …

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review

S Birdi, R Rabet, S Durant, A Patel, T Vosoughi… - BMC Public Health, 2024 - Springer
Background Machine learning (ML) is increasingly used in population and public health to
support epidemiological studies, surveillance, and evaluation. Our objective was to conduct …

[PDF][PDF] Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness' severity classification

NAM Aseri, MA Ismail, AS Fakharudin… - … Journal of Artificial …, 2022 - researchgate.net
The world health organization (WHO) proclaimed the COVID-19, commonly known as the
coronavirus disease 2019, was a pandemic in March 2020. When people are in close …

[PDF][PDF] A proposed model for diabetes mellitus classification using coyote optimization algorithm and least squares support vector machine

BS Bahnam, S Abd Dawwod - Int J Artif Intell ISSN, 2022 - academia.edu
One of the most dangerous health diseases affecting the world's population is diabetes
mellitus (DM), and its diagnosis is the key to its treatment. Several methods have been …

Comparing hyperparameter optimized support vector machine, multi-layer perceptron and bagging classifiers for diabetes mellitus prediction.

NA Yatoo, IS Ali, I Mirza - International Journal of Electrical & …, 2024 - search.ebscohost.com
Diabetes mellitus (DM) is a chronic metabolic disorder that affects the way the body
processes blood glucose levels. Within the medical field, machine learning (ML) has …

Weighted Bayesian Belief Network for diabetics: a predictive model

S Kharya, S Soni, A Pati, A Panigrahi, J Giri… - Frontiers in Artificial …, 2024 - frontiersin.org
Diabetes is an enduring metabolic condition identified by heightened blood sugar levels
stemming from insufficient production of insulin or ineffective utilization of insulin within the …

Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique

RF Pinheiro, MP Guarino, M Lages… - PeerJ Computer …, 2025 - peerj.com
Diabetes is a disease that affects millions of people in the world and its early screening
prevents serious health problems, also providing relief in the demand for healthcare …

Stability of classification performance on an adaptive neuro fuzzy inference system for disease complication prediction

S Kusumadewi, L Rosita… - … International Journal of …, 2023 - search.proquest.com
It is crucial to detect disease complications caused by metabolic syndromes early. High
cholesterol, high glucose, and high blood pressure are indicators of metabolic syndrome …