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 heig...
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| Main Author: | |
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| Format: | Book Section |
| Language: | English |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/4288/1/FH05-ESERI-20-40561.pdf http://eprints.unisza.edu.my/4288/ |
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| Institution: | Universiti Sultan Zainal Abidin |
| Language: | English |
| Summary: | 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 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 R as well as the mean absolute
percentage error values of ., ., . and . as compared to MLR ., ., ., . 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 Nature Singapore Pte Ltd. |
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