Comprehensive Feature Selection Methods for Predicting Diabetes and Stroke Risk

K Balaji, A Iliev Iliev - Science and Information Conference, 2024 - Springer
Abstract The study titled “Comprehensive Feature Selection Methods for Predicting Diabetes
and Stroke Risk Among Married Individuals” explores the relationship between various risk …

Diabetic Condition Classification using Supervised and Unsupervised Machine Learning Techniques: A Use Case for HealthTech Industry

AM Bongale, S Biradar, P Pise, AP Suke… - 2023 Fourth …, 2023 - ieeexplore.ieee.org
Diabetes is a very underestimated and, in many cases, an ignored disease. People do not
understand the seriousness of diabetes. Many people think diabetes is just something …

The Role of Health Marketing in the Dissemination of AI and ML Application in Preventive Health

L Moura, BB Sousa, CM Veloso - AI Innovation in Services Marketing, 2024 - igi-global.com
The development of information and communication technology (ICT) has made citizens the
protagonists of so-called preventive health, whose focus and importance are in disease …

Enhancing Association Rules using Generative Adversarial Networks for Breast Cancer Classification

M Haggag, L Al Rayes… - 2024 ASU International …, 2024 - ieeexplore.ieee.org
The core algorithms of data mining (DM) enable the discovery of new information and
insights by analyzing large amounts of data. Association rules mining (ARM), one of the …

Toddler Stunting Consulting Chatbot using Rasa Framework

W Hadikurniawati, S Wijono, D Manongga… - Jurnal Rekayasa …, 2023 - jurnal.usk.ac.id
Chatbots are artificial intelligence software that can communicate with users to assist them in
certain tasks or provide information. They can reduce the need for human interaction and …

Improving Machine Learning Performance for Diabetes Prediction

J Benabderrahmane, M Kasri, I El Guabassi… - … on Advanced Intelligent …, 2023 - Springer
Diabetes is a formidable ailment characterized by elevated glucose levels in the
bloodstream. Hence, it can cause many complications if it remains untreated and …

Health Insurance Premium Pricing Using Machine Learning Methods

ANAA Ridzuan, AZ Azman, FA Marzuki… - … in Applied Sciences …, 2024 - semarakilmu.com.my
Health insurance is important alongside life insurance products. This product's subscription
is gradually rising and has become one of the public's main considerations due to their …

Futuristic Diabetes Prediction: Employing Machine Learning for Timely Diagnosis

D Kaviyaadharshani, M Nivedhidha… - … on Recent Advances …, 2024 - ieeexplore.ieee.org
Diabetes is a prevalent circumstance that is also the core cause of numerous serious health
issues, such as neurological disorders, heart attack, and stroke. So that it is placing a …

Rank based random forest model for gestational diabetes mellitus prediction

S Amarnath, M Selvamani - AIP Conference Proceedings, 2024 - pubs.aip.org
Gestational Diabetes Mellitus (GDM) is a type of diabetes that can occur during pregnancy in
women. Due to its great prevalence and potential negative effects on the health of mothers …

Komparasi Performa Model Berbasis Algoritma Random Forest dan LightGBM dalam Melakukan Klasifikasi Diabetes Melitus Gestasional

BR Prasetyo, ED Wahyuni… - Jurnal Informatika dan …, 2024 - journal.eng.unila.ac.id
Diabetes melitus gestasional (DMG) merupakan suatu kondisi yang ditandai dengan
adanya kenaikan level dalam kandungan gula darah seorang ibu pada masa kehamilan …