Using Deep Learning to Predict Obesity and Its Effect on Human Physiology

Maryam Ali; Rahmah Shabanh; Salam Fraihat

doi:10.1109/ACIT58888.2023.10453907

Using Deep Learning to Predict Obesity and Its Effect on Human Physiology

Maryam Ali
, Rahmah Shabanh
, Salam Fraihat

College of Engineering and Information Technology

Ajman University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Obesity is a pressing global health issue with significant implications for human physiology and overall wellbeing. This research paper explores the application of deep learning techniques in predicting obesity and understanding its profound effects on human physiology. Using Deep Learning to predict obesity based on the physical condition of a human being increased the efficacy compared to other Machine Learning models.

Original language	English
Title of host publication	2023 24th International Arab Conference on Information Technology, ACIT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350384307
DOIs	https://doi.org/10.1109/ACIT58888.2023.10453907
State	Published - 2023
Event	24th International Arab Conference on Information Technology, ACIT 2023 - Ajman, United Arab Emirates Duration: 6 Dec 2023 → 8 Dec 2023

Publication series

Name	2023 24th International Arab Conference on Information Technology, ACIT 2023

Conference

Conference	24th International Arab Conference on Information Technology, ACIT 2023
Country/Territory	United Arab Emirates
City	Ajman
Period	6/12/23 → 8/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Accuracy
Deep Learning
Machine Learning
activation functions
obesity
visualization

Access to Document

10.1109/ACIT58888.2023.10453907

Cite this

Ali, M., Shabanh, R., & Fraihat, S. (2023). Using Deep Learning to Predict Obesity and Its Effect on Human Physiology. In 2023 24th International Arab Conference on Information Technology, ACIT 2023 (2023 24th International Arab Conference on Information Technology, ACIT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACIT58888.2023.10453907

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title = "Using Deep Learning to Predict Obesity and Its Effect on Human Physiology",

abstract = "Obesity is a pressing global health issue with significant implications for human physiology and overall wellbeing. This research paper explores the application of deep learning techniques in predicting obesity and understanding its profound effects on human physiology. Using Deep Learning to predict obesity based on the physical condition of a human being increased the efficacy compared to other Machine Learning models.",

keywords = "Accuracy, Deep Learning, Machine Learning, activation functions, obesity, visualization",

author = "Maryam Ali and Rahmah Shabanh and Salam Fraihat",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th International Arab Conference on Information Technology, ACIT 2023 ; Conference date: 06-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/ACIT58888.2023.10453907",

language = "English",

series = "2023 24th International Arab Conference on Information Technology, ACIT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 24th International Arab Conference on Information Technology, ACIT 2023",

address = "United States",

}

Ali, M, Shabanh, R & Fraihat, S 2023, Using Deep Learning to Predict Obesity and Its Effect on Human Physiology. in 2023 24th International Arab Conference on Information Technology, ACIT 2023. 2023 24th International Arab Conference on Information Technology, ACIT 2023, Institute of Electrical and Electronics Engineers Inc., 24th International Arab Conference on Information Technology, ACIT 2023, Ajman, United Arab Emirates, 6/12/23. https://doi.org/10.1109/ACIT58888.2023.10453907

Using Deep Learning to Predict Obesity and Its Effect on Human Physiology. / Ali, Maryam; Shabanh, Rahmah; Fraihat, Salam.
2023 24th International Arab Conference on Information Technology, ACIT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 24th International Arab Conference on Information Technology, ACIT 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using Deep Learning to Predict Obesity and Its Effect on Human Physiology

AU - Ali, Maryam

AU - Shabanh, Rahmah

AU - Fraihat, Salam

PY - 2023

Y1 - 2023

N2 - Obesity is a pressing global health issue with significant implications for human physiology and overall wellbeing. This research paper explores the application of deep learning techniques in predicting obesity and understanding its profound effects on human physiology. Using Deep Learning to predict obesity based on the physical condition of a human being increased the efficacy compared to other Machine Learning models.

AB - Obesity is a pressing global health issue with significant implications for human physiology and overall wellbeing. This research paper explores the application of deep learning techniques in predicting obesity and understanding its profound effects on human physiology. Using Deep Learning to predict obesity based on the physical condition of a human being increased the efficacy compared to other Machine Learning models.

KW - Accuracy

KW - Deep Learning

KW - Machine Learning

KW - activation functions

KW - obesity

KW - visualization

UR - https://www.scopus.com/pages/publications/85189137038

U2 - 10.1109/ACIT58888.2023.10453907

DO - 10.1109/ACIT58888.2023.10453907

M3 - Conference contribution

AN - SCOPUS:85189137038

T3 - 2023 24th International Arab Conference on Information Technology, ACIT 2023

BT - 2023 24th International Arab Conference on Information Technology, ACIT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Arab Conference on Information Technology, ACIT 2023

Y2 - 6 December 2023 through 8 December 2023

ER -

Using Deep Learning to Predict Obesity and Its Effect on Human Physiology

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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