Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes …
A García-Domínguez, CE Galván-Tejada… - Journal of Diabetes …, 2023 - Wiley Online Library
The development of medical diagnostic models to support healthcare professionals has
witnessed remarkable growth in recent years. Among the prevalent health conditions …
witnessed remarkable growth in recent years. Among the prevalent health conditions …
Adaptive Noise Reduction Algorithm Based on SPP and NMF for Environmental Sound Event Recognition under Low‐SNR Conditions
LY Luo, ST Guo, M Wang, HB Qiu… - … and Mobile Computing, 2023 - Wiley Online Library
Nonnegative matrix factorization‐(NMF‐) based noise reduction methods can effectively
improve the performance of environmental sound recognition. However, when the …
improve the performance of environmental sound recognition. However, when the …
A Comparative Study on Denoising Algorithms for Footsteps Sounds as Biometric in Noisy Environments
R Caravaca-Mora, C Brenes-Jiménez, M Coto-Jiménez - Computation, 2022 - mdpi.com
Biometrics is the automated identification of a person based on distinctive characteristics,
such as fingerprints, face, voice, or the sound of footsteps. This last characteristic has …
such as fingerprints, face, voice, or the sound of footsteps. This last characteristic has …
[PDF][PDF] Research Article Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical …
A García-Domínguez, CE Galván-Tejada… - 2023 - scienceopen.com
The development of medical diagnostic models to support healthcare professionals has
witnessed remarkable growth in recent years. Among the prevalent health conditions …
witnessed remarkable growth in recent years. Among the prevalent health conditions …
Development and benchmarking a novel scatter search algorithm for learning probabilistic graphical models in healthcare
J Threlfal - 2022 - orca.cardiff.ac.uk
Healthcare data of small sizes are widespread, and the challenge of building accurate
inference models is difficult. Many machine learning algorithms exist, but many are black …
inference models is difficult. Many machine learning algorithms exist, but many are black …