Survey on clinical prediction models for diabetes prediction

N Jayanthi, BV Babu, NS Rao - Journal of Big Data, 2017 - Springer
Predictive analytics has gained a lot of reputation in the emerging technology Big data.
Predictive analytics is an advanced form of analytics. Predictive analytics goes beyond data …

Development of predictive model of diabetic using supervised machine learning classification algorithm of ensemble voting

D Datta, M Bhattacharya, SS Rajest… - International …, 2023 - inderscienceonline.com
Predicting the health status of patients suffering from diabetic is an important task in the
health sector because the medical history of diabetic evidenced that it is a slow killer. If data …

Machine learning as a support for the diagnosis of type 2 diabetes

A Agliata, D Giordano, F Bardozzo, S Bottiglieri… - International Journal of …, 2023 - mdpi.com
Diabetes is a chronic, metabolic disease characterized by high blood sugar levels. Among
the main types of diabetes, type 2 is the most common. Early diagnosis and treatment can …

Machine learning based unified framework for diabetes prediction

SMH Mahmud, MA Hossin, MR Ahmed… - Proceedings of the …, 2018 - dl.acm.org
Machine learning gained a significant position in healthcare services (HCS) due to its ability
to improve the disease prediction in HCS. Machine learning techniques and artificial …

Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data

H Seto, A Oyama, S Kitora, H Toki, R Yamamoto… - Scientific reports, 2022 - nature.com
We sought to verify the reliability of machine learning (ML) in developing diabetes prediction
models by utilizing big data. To this end, we compared the reliability of gradient boosting …

[HTML][HTML] An unsupervised cluster-based feature grouping model for early diabetes detection

MM Hassan, S Mollick, F Yasmin - Healthcare Analytics, 2022 - Elsevier
Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …

Type 2 diabetes with artificial intelligence machine learning: methods and evaluation

L Ismail, H Materwala, M Tayefi, P Ngo… - … Methods in Engineering, 2022 - Springer
Diabetes, one of the top 10 causes of death worldwide, is associated with the interaction
between lifestyle, psychosocial, medical conditions, demographic, and genetic risk factors …

A risk prediction model for type 2 diabetes based on weighted feature selection of random forest and xgboost ensemble classifier

Z Xu, Z Wang - 2019 eleventh international conference on …, 2019 - ieeexplore.ieee.org
Type 2 diabetes mellitus is a severe chronic disease threatening human health and has a
high incidence worldwide. People need to use effective prediction model to diagnose and …

Diabetes prediction using ensembling of different machine learning classifiers

MK Hasan, MA Alam, D Das, E Hossain… - IEEE Access, 2020 - ieeexplore.ieee.org
Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level
of sugar in the blood over a long period. The risk factor and severity of diabetes can be …

Artificial intelligence-based learning techniques for diabetes prediction: challenges and systematic review

S Kaul, Y Kumar - SN Computer Science, 2020 - Springer
Diabetes is one of the most deadly and chronic diseases which cause an increase in blood
sugar. If diabetes remains untreated and unidentified many difficulties may arise due to that …