Systematic review on machine-learning algorithms used in wearable-based eHealth data analysis
In this digitized world, data has become an integral part in any domain, including healthcare.
The healthcare industry produces a huge amount of digital data, by utilizing information from …
The healthcare industry produces a huge amount of digital data, by utilizing information from …
Challenges and trends in federated learning for well-being and healthcare
Abstract Currently, research in Artificial Intelligence, both in Machine Learning and Deep
Learning, paves the way for promising innovations in several areas. In healthcare …
Learning, paves the way for promising innovations in several areas. In healthcare …
Deep Learning-Based Classification and Feature Extraction for Predicting Pathogenesis of Foot Ulcers in Patients with Diabetes
V Sathya Preiya, VDA Kumar - Diagnostics, 2023 - mdpi.com
The World Health Organization (WHO) has identified that diabetes mellitus (DM) is one of
the most prevalent disease worldwide. Individuals with DM have a higher risk of mortality …
the most prevalent disease worldwide. Individuals with DM have a higher risk of mortality …
[HTML][HTML] Методы машинного обучения в дифференциальной диагностике сложно классифицируемых типов сахарного диабета
Н Русяева, ИИ Голодников, ТВ Никонова… - Сахарный …, 2023 - cyberleninka.ru
Течение сложно классифицируемых типов сахарного диабета (СД)(медленно
развивающийся иммуноопосредованный СД взрослых (LADA), моногенные формы СД …
развивающийся иммуноопосредованный СД взрослых (LADA), моногенные формы СД …
Machine-learning-based diabetes prediction using multi-sensor data
Diabetes is one such chronic disease that, if undetected, can result in several adverse
symptoms or diseases. It requires continuous and active monitoring, for example, by using …
symptoms or diseases. It requires continuous and active monitoring, for example, by using …
Machine learning methods in the differential diagnosis of difficult-to-classify types of diabetes mellitus
NV Rusyaeva, II Golodnikov, IV Kononenko… - Diabetes …, 2023 - dia-endojournals.ru
The course of difficult-to-classify types of diabetes mellitus (DM)(slowly developing immune-
mediated DM of adults (LADA), monogenic forms of DM (MODY)) has common features with …
mediated DM of adults (LADA), monogenic forms of DM (MODY)) has common features with …
Diagnosis and Classification of Diabetes Mellitus Type 1 and Type 2 Through Super Learner
A Nisha, G Kavitha - 2021 - researchsquare.com
Diabetes Mellitus (DM) plays a significant role in increasing the associated health problems
worldwide by acting as a Comorbid condition. Moreover, it is a progressive illness without …
worldwide by acting as a Comorbid condition. Moreover, it is a progressive illness without …
[引用][C] Multimedia Data Mining and Processing for News Source Attribution
O Ayodeji, A Taye, O Oyenike, I Olakunle… - 2024 - International Journal of Research …
[引用][C] Modelos de Aprendizado de Máquina na Predição de Diabetes Tipo 1 na Gestação usando Dados do Sistema Único de Saúde
JRH Moreira, HS Bernardino, HJC Barbosa… - Anais do XXI Simpósio …, 2021 - SBC
[引用][C] ГЕТЕРОГЕННОСТЬ САХАРНОГО ДИАБЕТА У МОЛОДЫХ ВЗРОСЛЫХ: ДИФФЕРЕНЦИАЛЬНАЯ ДИАГНОСТИКА ТИПОВ САХАРНОГО ДИАБЕТА С …
НВ РУСЯЕВА, ИИ ГОЛОДНИКОВ, АР ЕЛФИМОВА - elibrary.ru