Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …
above certain limits. Over the last years, machine and deep learning techniques have been …
Advancements and prospects of machine learning in medical diagnostics: unveiling the future of diagnostic precision
S Asif, Y Wenhui, S ur-Rehman, Q ul-ain… - … Methods in Engineering, 2024 - Springer
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …
651,247 people around world having lost their lives after contracting the disease. Currently …
[HTML][HTML] An ensemble machine learning approach for predicting type-II diabetes mellitus based on lifestyle indicators
Abstract Machine Learning (ML) is a branch of artificial intelligence that allows computers to
learn without being explicitly programmed. ML has been widely used in healthcare to predict …
learn without being explicitly programmed. ML has been widely used in healthcare to predict …
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
An empirical analysis of machine learning algorithms for crime prediction using stacked generalization: an ensemble approach
Ensemble learning method is a collaborative decision-making mechanism that implements
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
Machine learning tools for long-term type 2 diabetes risk prediction
A steady rise has been observed in the percentage of elderly people who want and are still
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …
Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast cancer in …
EA Algehyne, ML Jibril, NA Algehainy… - Big Data and Cognitive …, 2022 - mdpi.com
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …
also been ranked as the one most prevalent and the number two killer disease in the …
A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: Experiences from bangladesh
Diabetes is a chronic disease caused by a persistently high blood sugar level, causing other
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
chronic diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt …
Machine learning predictive models for coronary artery disease
Coronary artery disease (CAD) is the commonest type of heart disease and over 80% of the
deaths resulted from the diseases occurred in develo** countries including Nigeria, with …
deaths resulted from the diseases occurred in develo** countries including Nigeria, with …