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The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes

The present investigation aims at measuring as well as predicting blood pressure (BP) levels using anthropometric indexes. A standardised systolic blood pressure, (STBP) and diastolic blood pressure (DSBP) coupled with anthropometric evaluations of Body Mass Index waist to hip ratio, waist to height...

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Main Authors: Musa, Rabiu Muazu, Muhammad Zuhaili, Suhaimi, P. P. Abdul Majeed, Anwar, Mohamad Razali, Abdullah, Siti Musliha, Mat-Rasid, Mohd Hasnun Ariff, Hassan
Format: Book Chapter
Language:English
English
Published: Springer 2020
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/42606/1/The%20application%20of%20artificial%20neural%20networks%20in%20predicting.pdf
http://umpir.ump.edu.my/id/eprint/42606/2/The%20application%20of%20artificial%20neural%20networks%20in%20predicting%20blood%20pressure%20levels%20of%20youth%20archers%20by%20means%20of%20anthropometric%20indexes_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42606/
https://doi.org/10.1007/978-981-15-3270-2_37
https://doi.org/10.1007/978-981-15-3270-2_37
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spelling my.ump.umpir.426062024-12-02T01:22:59Z http://umpir.ump.edu.my/id/eprint/42606/ The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes Musa, Rabiu Muazu Muhammad Zuhaili, Suhaimi P. P. Abdul Majeed, Anwar Mohamad Razali, Abdullah Siti Musliha, Mat-Rasid Mohd Hasnun Ariff, Hassan T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures The present investigation aims at measuring as well as predicting blood pressure (BP) levels using anthropometric indexes. A standardised systolic blood pressure, (STBP) and diastolic blood pressure (DSBP) coupled with anthropometric evaluations of Body Mass Index waist to hip ratio, waist to height ratio, body fat percentage, and calf circumference was carried out on 50 youth archers. A Backward Regression Analysis (BRA) was used to determine the anthropometrics indexes that could predict both the STBP and DSBP whilst two models, namely Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) were developed based on the most correlated anthropometry. The BRA identified calf circumference (CC) as the highest correlated predictor for both STBP and DSBP. The ANN model developed demonstrated a better prediction efficacy against the MLR with an R2 as well as the mean absolute percentage error values of 0.95, 0.95, 0.050 and 0.06 as compared to MLR 0.26, 0.25, 8.46, 6.56 in the prediction of both the STBP and DSBP, respectively. It is evident from the present study that the BP levels of youth archers could be reliably measured using only their CC index. Springer 2020 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42606/1/The%20application%20of%20artificial%20neural%20networks%20in%20predicting.pdf pdf en http://umpir.ump.edu.my/id/eprint/42606/2/The%20application%20of%20artificial%20neural%20networks%20in%20predicting%20blood%20pressure%20levels%20of%20youth%20archers%20by%20means%20of%20anthropometric%20indexes_ABS.pdf Musa, Rabiu Muazu and Muhammad Zuhaili, Suhaimi and P. P. Abdul Majeed, Anwar and Mohamad Razali, Abdullah and Siti Musliha, Mat-Rasid and Mohd Hasnun Ariff, Hassan (2020) The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes. In: Lecture Notes in Bioengineering. Springer, Berlin, Germany, pp. 348-357. ISBN ISSN : 2195-271X https://doi.org/10.1007/978-981-15-3270-2_37 https://doi.org/10.1007/978-981-15-3270-2_37
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Musa, Rabiu Muazu
Muhammad Zuhaili, Suhaimi
P. P. Abdul Majeed, Anwar
Mohamad Razali, Abdullah
Siti Musliha, Mat-Rasid
Mohd Hasnun Ariff, Hassan
The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
description The present investigation aims at measuring as well as predicting blood pressure (BP) levels using anthropometric indexes. A standardised systolic blood pressure, (STBP) and diastolic blood pressure (DSBP) coupled with anthropometric evaluations of Body Mass Index waist to hip ratio, waist to height ratio, body fat percentage, and calf circumference was carried out on 50 youth archers. A Backward Regression Analysis (BRA) was used to determine the anthropometrics indexes that could predict both the STBP and DSBP whilst two models, namely Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) were developed based on the most correlated anthropometry. The BRA identified calf circumference (CC) as the highest correlated predictor for both STBP and DSBP. The ANN model developed demonstrated a better prediction efficacy against the MLR with an R2 as well as the mean absolute percentage error values of 0.95, 0.95, 0.050 and 0.06 as compared to MLR 0.26, 0.25, 8.46, 6.56 in the prediction of both the STBP and DSBP, respectively. It is evident from the present study that the BP levels of youth archers could be reliably measured using only their CC index.
format Book Chapter
author Musa, Rabiu Muazu
Muhammad Zuhaili, Suhaimi
P. P. Abdul Majeed, Anwar
Mohamad Razali, Abdullah
Siti Musliha, Mat-Rasid
Mohd Hasnun Ariff, Hassan
author_facet Musa, Rabiu Muazu
Muhammad Zuhaili, Suhaimi
P. P. Abdul Majeed, Anwar
Mohamad Razali, Abdullah
Siti Musliha, Mat-Rasid
Mohd Hasnun Ariff, Hassan
author_sort Musa, Rabiu Muazu
title The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
title_short The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
title_full The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
title_fullStr The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
title_full_unstemmed The application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
title_sort application of artificial neural networks in predicting blood pressure levels of youth archers by means of anthropometric indexes
publisher Springer
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/42606/1/The%20application%20of%20artificial%20neural%20networks%20in%20predicting.pdf
http://umpir.ump.edu.my/id/eprint/42606/2/The%20application%20of%20artificial%20neural%20networks%20in%20predicting%20blood%20pressure%20levels%20of%20youth%20archers%20by%20means%20of%20anthropometric%20indexes_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42606/
https://doi.org/10.1007/978-981-15-3270-2_37
https://doi.org/10.1007/978-981-15-3270-2_37
_version_ 1822924767367266304
score 13.2353115

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