Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
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 …
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …
Predicting diabetes in adults: identifying important features in unbalanced data over a 5-year cohort study using machine learning algorithm
Background Imbalanced datasets pose significant challenges in predictive modeling,
leading to biased outcomes and reduced model reliability. This study addresses data …
leading to biased outcomes and reduced model reliability. This study addresses data …
Leveraging AI-Generated content for synthetic electronic health record generation with deep learning-based diagnosis Model
S Abdel-Khalek, AD Algarni, G Amoudi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Consumer electronics have transformed the way we interact with technology, improving
convenience and connectivity in day-to-day lives. In the healthcare sector, recent …
convenience and connectivity in day-to-day lives. In the healthcare sector, recent …
Explainable AI in Healthcare Application
Given the inherent risks in medical decision-making, medical professionals carefully
evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely …
evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely …
Statistical performance review on diagnosis of leukemia, glaucoma and diabetes mellitus using AI
R Perumalraja, B Felcia Logan's Deshna… - Statistics in …, 2024 - Wiley Online Library
The growth of artificial intelligence (AI) in the healthcare industry tremendously increases the
patient outcomes by reshaping the way we diagnose, treat and monitor patients. AI‐based …
patient outcomes by reshaping the way we diagnose, treat and monitor patients. AI‐based …
[图书][B] Advances in explainable AI applications for smart cities
As smart cities become more prevalent, the need for explainable AI (XAI) applications has
become increasingly important. Advances in Explainable AI Applications for Smart Cities is a …
become increasingly important. Advances in Explainable AI Applications for Smart Cities is a …
Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement
Diabetes prediction is an important topic in the field of medical health. Accurate prediction
can help early intervention and reduce patients' health risks and medical costs. This paper …
can help early intervention and reduce patients' health risks and medical costs. This paper …
Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis
M García-Jaramillo, C Luque… - Journal of Diabetes …, 2024 - journals.sagepub.com
Background: The use of machine learning and deep learning techniques in the research on
diabetes has garnered attention in recent times. Nonetheless, few studies offer a thorough …
diabetes has garnered attention in recent times. Nonetheless, few studies offer a thorough …
Machine learning-based assessment of diabetes risk
Q Sun, X Cheng, K Han, Y Sun, H Ren, P Li - Applied Intelligence, 2025 - Springer
Currently, diabetes is one of the most dangerous diseases in modern society. Prevention is
an extremely important aspect in the field of medicine, and the field of artificial intelligence …
an extremely important aspect in the field of medicine, and the field of artificial intelligence …