[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
Classification of diabetes using feature selection and hybrid Al-Biruni earth radius and dipper throated optimization
Introduction: In public health, machine learning algorithms have been used to predict or
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …
diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached …
[HTML][HTML] A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms
With the rapid advancement and integration of Artificial Intelligence (AI) in medicine, the
need for new developments and accuracy in Machine Learning (ML) models and algorithms …
need for new developments and accuracy in Machine Learning (ML) models and algorithms …
Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches
Objective Diabetes is a chronic fatal disease that has affected millions of people all over the
globe. Type 2 Diabetes Mellitus (T2DM) accounts for 90% of the affected population among …
globe. Type 2 Diabetes Mellitus (T2DM) accounts for 90% of the affected population among …
[PDF][PDF] Modern drowsiness detection techniques: A review
SS Jasim, AKA Hassan - International Journal of Electrical and …, 2022 - academia.edu
According to recent statistics, drowsiness, rather than alcohol, is now responsible for one-
quarter of all automobile accidents. As a result, many monitoring systems have been created …
quarter of all automobile accidents. As a result, many monitoring systems have been created …
Comparative analysis of various supervised machine learning algorithms for the early prediction of type-II diabetes mellitus
Diabetes is one among the top 10 causes of death. Diabetes mellitus is a fatal disease that
poses a unique and significant threat to millions of people over the globe. Despite the …
poses a unique and significant threat to millions of people over the globe. Despite the …
Selection of the right undergraduate major by students using supervised learning techniques
University education has become an integral and basic part of most people preparing for
working life. However, placement of students into the appropriate university, college, or …
working life. However, placement of students into the appropriate university, college, or …
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 …
Machine learning methods for Diabetes prevalence classification in Saudi Arabia
ES Almutairi, MF Abbod - Modelling, 2023 - mdpi.com
Machine learning algorithms have been widely used in public health for predicting or
diagnosing epidemiological chronic diseases, such as diabetes mellitus, which is classified …
diagnosing epidemiological chronic diseases, such as diabetes mellitus, which is classified …
Machine learning techniques for diagnosis of type 2 diabetes using lifestyle data
Diabetes mellitus is a common chronic disease that has affected millions of people in the
world today. Among all types of diabetes, Type 2 diabetes mellitus (T2DM) is very common …
world today. Among all types of diabetes, Type 2 diabetes mellitus (T2DM) is very common …