Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method

B Mishra, N Nirala, BK Singh - Neural Computing and Applications, 2024 - Springer
Abstract Type-2 diabetes mellitus (DM-2) is a complicated endocrine and metabolism
condition recognized as the most major non-communicable disease in the world. The …

Machine learning-based diabetes detection using photoplethysmography signal features

FAC Oliveira, FM Dias, MAF Toledo… - arXiv preprint arXiv …, 2023 - arxiv.org
Diabetes is a prevalent chronic condition that compromises the health of millions of people
worldwide. Minimally invasive methods are needed to prevent and control diabetes but most …

PredictStr: A Balanced Benchmark Dataset for Improve Stroke Prediction

TF Romdhane, MI Khedher… - … Conference on Human …, 2024 - hal.science
Predicting strokes is essential for improving healthcare outcomes and saving lives. This
paper introduces a benchmarking dataset, PredictStr, specifically developed to enhance …

Non-invasive Diabetes Detection System Using Photoplethysmogram Signals Check for updates

D Sathish, SS Poojary, S Shetty… - Advances in Data …, 2024 - books.google.com
Diabetes Mellitus (DM) is a chronic condition, where the body is unable to control blood
sugar levels. In this paper, a non-invasive method to classify diabetic and non-diabetic …

Non-invasive Diabetes Detection System Using Photoplethysmogram Signals

D Sathish, SS Poojary, S Shetty, PH Acharya… - … Conference on Data & …, 2023 - Springer
Diabetes Mellitus (DM) is a chronic condition, where the body is unable to control blood
sugar levels. In this paper, a non-invasive method to classify diabetic and non-diabetic …