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 …
Explainable data mining model for hyperinsulinemia diagnostics
N Rankovic, D Rankovic, M Ivanovic, I Lukic - Connection Science, 2024 - Taylor & Francis
In our research, we present a data mining model for the early diagnosis of hyperinsulinemia,
potentially reducing the risk of diabetes, heart disease, and other chronic conditions. The …
potentially reducing the risk of diabetes, heart disease, and other chronic conditions. The …
Early stage diabetes prediction using decision tree-based ensemble learning model
Diabetes is a lifelong disease that has undesirable effects on various organs, such as long-
term organ damage, functional disorder, and finally failure of the organ. Diabetes must be …
term organ damage, functional disorder, and finally failure of the organ. Diabetes must be …
Early stage diabetes prediction using decision tree-based ensemble learning model.
OS Kaya, SB Keser, K Keskin - … Advanced Researches & …, 2023 - search.ebscohost.com
Diabetes is a lifelong disease that has undesirable effects on various organs, such as long-
term organ damage, functional disorder, and finally failure of the organ. Diabetes must be …
term organ damage, functional disorder, and finally failure of the organ. Diabetes must be …
[PDF][PDF] Analysis and Prediction of Gestational Diabetes Using Machine Learning Algorithm
T Sharma, A Khaskalam - ijmemr.org
Gestational diabetes is a common health condition affecting pregnant women, characterized
by high blood sugar levels during pregnancy. Early identification and prediction of …
by high blood sugar levels during pregnancy. Early identification and prediction of …