An Evidence-Based Study of Diabetes Prevention and Management with NLP and Deep Learning DOI
Vimal Vidyadharan, Mohammad Hamdan,

A.M.S. Zalzala

et al.

2021 IEEE Symposium Series on Computational Intelligence (SSCI), Journal Year: 2021, Volume and Issue: unknown, P. 1 - 8

Published: Dec. 5, 2021

Diabetes Mellitus - or type 2 diabetes is one of the fastest growing global health emergencies 21st century, affecting around 9.3% world's adult population and impacting economy. As there no known methodology for controlling chronic condition, early-stage detection prevention advocated. Researchers have successfully used data mining machine learning techniques to generate models early related risks in countries where public records (electronic otherwise) are easily available. Such cannot be effectively applied communities incomplete non-existing such as underserved India. This paper proposes a system built from datasets captured filed research with representative communities. approach advocates use Natural Language Processing Deep Learning qualitative conduct an evidence-based study management. The presents theoretical formulations, model experimentations, automated coding systems, algorithm testing validate results.

Language: Английский

Enhancing amazigh ASR through convolutional neural networks and MFCC DOI
Hossam Boulal, Mohamed Hamidi, Jamal Barkani

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 13, 2024

Language: Английский

Citations

0
Logistic Regression Approach to a Joint Classification and Feature Selection in Lung Cancer Screening Using CPRD Data DOI
Yuan Shen, Jaspreet Kaur, Mufti Mahmud

et al.

Lecture notes in networks and systems, Journal Year: 2023, Volume and Issue: unknown, P. 191 - 206

Published: Jan. 1, 2023

Language: Английский

Citations

0
A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process DOI
Pranta Biswas, Fahmida Islam Ireen, Fairooz Ahsan Nawar

et al.

Communications in computer and information science, Journal Year: 2022, Volume and Issue: unknown, P. 102 - 116

Published: Jan. 1, 2022

Language: Английский

Citations

0
An Evidence-Based Study of Diabetes Prevention and Management with NLP and Deep Learning DOI
Vimal Vidyadharan, Mohammad Hamdan,

A.M.S. Zalzala

et al.

2021 IEEE Symposium Series on Computational Intelligence (SSCI), Journal Year: 2021, Volume and Issue: unknown, P. 1 - 8

Published: Dec. 5, 2021

Diabetes Mellitus - or type 2 diabetes is one of the fastest growing global health emergencies 21st century, affecting around 9.3% world's adult population and impacting economy. As there no known methodology for controlling chronic condition, early-stage detection prevention advocated. Researchers have successfully used data mining machine learning techniques to generate models early related risks in countries where public records (electronic otherwise) are easily available. Such cannot be effectively applied communities incomplete non-existing such as underserved India. This paper proposes a system built from datasets captured filed research with representative communities. approach advocates use Natural Language Processing Deep Learning qualitative conduct an evidence-based study management. The presents theoretical formulations, model experimentations, automated coding systems, algorithm testing validate results.

Language: Английский

Citations

0