Accuracy of machine learning classification models for the prediction of type 2 diabetes mellitus: A systematic survey and meta-analysis approach
MO Olusanya, RE Ogunsakin, M Ghai… - International Journal of …, 2022 - mdpi.com
Highlights We reviewed soft-computing and statistical learning methods for predicting type 2
diabetes mellitus. We searched for papers published between 2010 and 2021 on three …
diabetes mellitus. We searched for papers published between 2010 and 2021 on three …
A deep learning method for early detection of diabetic foot using decision fusion and thermal images
Diabetes mellitus (DM) is one of the major diseases that cause death worldwide and lead to
complications of diabetic foot ulcers (DFU). Improper and late handling of a diabetic foot …
complications of diabetic foot ulcers (DFU). Improper and late handling of a diabetic foot …
A novel optimized recurrent network-based automatic system for speech emotion identification
Speech is a unique characteristic of humans that expresses one's emotional viewpoint to
others. Speech emotion recognition (SER) identifies the speaker's emotion from the speech …
others. Speech emotion recognition (SER) identifies the speaker's emotion from the speech …
Detection of diabetes mellitus with deep learning and data augmentation techniques on foot thermography
A Anaya-Isaza, M Zequera-Diaz - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetes mellitus (DM) is a metabolic disorder characterized by increased blood glucose.
The pathology can manifest itself with different conditions, including neuropathy, the main …
The pathology can manifest itself with different conditions, including neuropathy, the main …
A multi objective optimization modeling in WSN for enhancing the attacking efficiency of node capture attack
P Ahlawat, R Bathla - … Journal of System Assurance Engineering and …, 2023 - Springer
Node capture attacks compromise the integrity and confidentiality of networks by capturing
nodes within them and obtaining cryptographic keys through wireless sensor network links …
nodes within them and obtaining cryptographic keys through wireless sensor network links …
Community detection in network using chronological gorilla troops optimization algorithm with deep learning based weighted convexity
P Tiwari, S Raj, N Chhimwal - Wireless Networks, 2023 - Springer
Community is expressed as the subset of nodes in the graph and the interrelation amongst
the nodes within the network is deeper than the remaining of the network. Thus, the …
the nodes within the network is deeper than the remaining of the network. Thus, the …
Improvement and reduce risk of failure part-casting by multi-domain matrix-process failure modes and effects analysis based verband der automobilindustrie and …
S Ali, C Jaqin - International Journal of System Assurance Engineering …, 2024 - Springer
Nowadays, each industrial process like installation, manufacturing and service industries
process possesses the risk of process failure. The risk of process failure is collected from …
process possesses the risk of process failure. The risk of process failure is collected from …
Prediction of all-cause mortality following percutaneous coronary intervention in bifurcation lesions using machine learning algorithms
J Burrello, G Gallone, A Burrello… - Journal of Personalized …, 2022 - mdpi.com
Stratifying prognosis following coronary bifurcation percutaneous coronary intervention
(PCI) is an unmet clinical need that may be fulfilled through the adoption of machine …
(PCI) is an unmet clinical need that may be fulfilled through the adoption of machine …
Application of Artificial Intelligence in prediction type 2 diabetes mellitus: A Systematic Review.
JD Powar, R Dase, D Bhosle - Pravara Medical Review, 2023 - search.ebscohost.com
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are
programmed to think like humans and mimic their actions. The healthcare industry produces …
programmed to think like humans and mimic their actions. The healthcare industry produces …