Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data

MS Reza, R Amin, R Yasmin, W Kulsum, S Ruhi - Heliyon, 2024 - cell.com
Diabetes mellitus, a chronic metabolic disorder, continues to be a major public health issue
around the world. It is estimated that one in every two diabetics is undiagnosed. Early …

Early prediction of gestational diabetes with parameter-tuned K-Nearest Neighbor Classifier

TA Assegie, T Suresh, R Purushothaman… - Journal of Robotics …, 2023 - journal.umy.ac.id
Diabetes is one of the quickly spreading chronic diseases causing health complications,
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …

Dendritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World Optimization Problems

I Priyadarshini - Biomimetics, 2024 - mdpi.com
In numerous scientific disciplines and practical applications, addressing optimization
challenges is a common imperative. Nature-inspired optimization algorithms represent a …

[PDF][PDF] Integrated Ensemble Model for Diabetes Mellitus Detection.

AA Alzubaidi, SM Halawani… - International Journal of …, 2024 - saiconference.com
Diabetes Mellitus, commonly referred to as (DM), is a chronic illness that affects populations
worldwide, leading to more complications such as renal failure, visual impairment, and …

Optimized decision tree classification method for diabetes prediction

E Muningsih, FFD Imaniawan… - TELKOMNIKA …, 2024 - telkomnika.uad.ac.id
Diabetes is one of the most deadly chronic diseases because most sufferers do not realize
they have it. A more accurate prediction of diabetes disease must be made to reduce the risk …

[PDF][PDF] A genetic algorithm-based feature selection approach for diabetes prediction

K Kangra, J Singh - Int J Artif Intell, 2024 - pdfs.semanticscholar.org
Genetic algorithms have emerged as a powerful optimization technique for feature selection
due to their ability to search through a vast feature space efficiently. This study discusses the …

Early prediction of COVID-19 infection using data mining and multi machine learning algorithms

AJ Enad, M Aksu - Bulletin of Electrical Engineering and Informatics, 2024 - beei.org
The fields of artificial intelligence (AI) and machine learning (ML) have attracted significant
interest and investment from a diverse range of industries, especially during the last several …

ÇADA Algoritmasının ZDT ve DTLZ Test Problemlerinde Uygulanması.

Z HABER, H UĞUZ - Afyon Kocatepe University Journal of …, 2024 - search.ebscohost.com
Öz Dağınık arama algoritması, tek amaçlı optimizasyon problemlerinin çözümünde sıkça
kullanılan bir yöntemdir. Ancak, çok amaçlı problemlerle başa çıkmak oldukça zorlu bir …

Çok Amaçlı Dağınık Arama Algoritmasının Zdt-Dtlz Test Problemleri Üzerinde Uygulanması

Z Haber, H Uğuz - Afyon Kocatepe Üniversitesi Fen Ve Mühendislik …, 2024 - dergipark.org.tr
Dağınık arama algoritması, tek amaçlı optimizasyon problemlerinin çözümünde sıkça
kullanılan bir yöntemdir. Ancak, çok amaçlı problemlerle başa çıkmak oldukça zorlu bir …