mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: a scoping review

BJ Daley, M Ni'Man, MR Neves… - Diabetic …, 2022 - Wiley Online Library
Aims Gestational diabetes (GDM) is the most common metabolic disorder of pregnancy,
requiring complex management and empowerment of those affected. Mobile health …

Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles

MD Okpor, FO Aghware, MI Akazue… - Journal of Fuzzy …, 2024 - ejournal.ptti.web.id
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …

A hybrid machine learning model based on global and local learner algorithms for diabetes mellitus prediction

DD Rufo, TG Debelee, WG Negera - Journal of Biomimetics …, 2022 - Trans Tech Publ
Health is a critical condition for living things, even before the technology exists. Nowadays
the healthcare domain provides a lot of scope for research as it has extremely evolved. The …

Rigorous assessment of data mining algorithms in gestational diabetes mellitus prediction

SS Reddy, N Sethi, R Rajender - International Journal of …, 2021 - content.iospress.com
Gestational diabetes mellitus (GDM) is the type of diabetes that affects pregnant women due
to high blood sugar levels. The women with gestational diabetes have a chance of …

Diabetes Detection Using Machine Learning Algorithms

N D'Souza, K Shah, P Singh - 2022 IEEE Bombay Section …, 2022 - ieeexplore.ieee.org
Diabetes is a serious illness. Predicting this disease in a timely manner is necessary to
avoid severe side effects. Current medical practise dictates that a patient undergoes a …

Classification Of Gestational Diabetes Using Modified Fuzzy C Means Clustering And Machine Learning Technique

VR Geetha, N Jayaveeran… - Turkish Journal of …, 2021 - search.proquest.com
In the recent past, Gestational Diabetes (GD) has become oneof the major health issues in
the domain of healthcare. GD is a slow and silent killer that slowly influences the physical …

Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature

M Marres-Salhuana, V Garcia-Rios… - Proceedings of Seventh …, 2023 - Springer
In recent years, diabetes mellitus has increased its prevalence in the global landscape, and
currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a …

Prediction of Diabetes Mellitus using Artificial Intelligence Techniques

GL SumaLata, C Joshitha, M Kollati - Scalable Computing: Practice and …, 2024 - scpe.org
Diabetes Mellitus (DM) is a global health challenge, demanding proficient predictive models
for early identification and intervention. This study adopts a comprehensive strategy for …

Investigating Detection Strategy of Gestational Diabetes Mellitus During Pregnancy Using Machine Learning

SGA Usha, VG Janani, V Anusuya… - … Artificial Intelligence and …, 2023 - igi-global.com
Artificial intelligence has been applied to numerous applications such as health, finance,
social media, and online customer support systems. Machine learning (ML) is a subdivision …

Machine Learning based Early Predication and Detection of Diabetes Mellitus

P Sarkar, S Pawar - … on Artificial Intelligence for Innovations in …, 2023 - ieeexplore.ieee.org
According to a recent survey, diabetes mellitus has become the driving reason for death
worldwide. Diabetes mellitus is critical disorders or illness that causes the imbalance of …