Matches in SemOpenAlex for { <https://semopenalex.org/work/W3018341331> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W3018341331 abstract "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." @default.
- W3018341331 created "2020-05-01" @default.
- W3018341331 creator A5020893051 @default.
- W3018341331 creator A5021226854 @default.
- W3018341331 creator A5027063601 @default.
- W3018341331 creator A5038514283 @default.
- W3018341331 creator A5088375897 @default.
- W3018341331 creator A5088586495 @default.
- W3018341331 date "2020-01-01" @default.
- W3018341331 modified "2023-10-17" @default.
- W3018341331 title "The Application of Artificial Neural Networks in Predicting Blood Pressure Levels of Youth Archers by Means of Anthropometric Indexes" @default.
- W3018341331 cites W1509243486 @default.
- W3018341331 cites W1656898673 @default.
- W3018341331 cites W1981381572 @default.
- W3018341331 cites W2006816028 @default.
- W3018341331 cites W2018503115 @default.
- W3018341331 cites W2061634360 @default.
- W3018341331 cites W2083817839 @default.
- W3018341331 cites W2121661203 @default.
- W3018341331 cites W2146692103 @default.
- W3018341331 cites W2156343989 @default.
- W3018341331 cites W2157108391 @default.
- W3018341331 cites W2511699534 @default.
- W3018341331 cites W2537714907 @default.
- W3018341331 cites W2544751339 @default.
- W3018341331 cites W2775517272 @default.
- W3018341331 cites W2793931861 @default.
- W3018341331 cites W2796322508 @default.
- W3018341331 cites W2906913360 @default.
- W3018341331 cites W4231713079 @default.
- W3018341331 doi "https://doi.org/10.1007/978-981-15-3270-2_37" @default.
- W3018341331 hasPublicationYear "2020" @default.
- W3018341331 type Work @default.
- W3018341331 sameAs 3018341331 @default.
- W3018341331 citedByCount "0" @default.
- W3018341331 crossrefType "book-chapter" @default.
- W3018341331 hasAuthorship W3018341331A5020893051 @default.
- W3018341331 hasAuthorship W3018341331A5021226854 @default.
- W3018341331 hasAuthorship W3018341331A5027063601 @default.
- W3018341331 hasAuthorship W3018341331A5038514283 @default.
- W3018341331 hasAuthorship W3018341331A5088375897 @default.
- W3018341331 hasAuthorship W3018341331A5088586495 @default.
- W3018341331 hasConcept C105795698 @default.
- W3018341331 hasConcept C126322002 @default.
- W3018341331 hasConcept C152877465 @default.
- W3018341331 hasConcept C166504685 @default.
- W3018341331 hasConcept C2524010 @default.
- W3018341331 hasConcept C2776193436 @default.
- W3018341331 hasConcept C2780005051 @default.
- W3018341331 hasConcept C2780221984 @default.
- W3018341331 hasConcept C33923547 @default.
- W3018341331 hasConcept C48921125 @default.
- W3018341331 hasConcept C61427482 @default.
- W3018341331 hasConcept C71924100 @default.
- W3018341331 hasConcept C84393581 @default.
- W3018341331 hasConceptScore W3018341331C105795698 @default.
- W3018341331 hasConceptScore W3018341331C126322002 @default.
- W3018341331 hasConceptScore W3018341331C152877465 @default.
- W3018341331 hasConceptScore W3018341331C166504685 @default.
- W3018341331 hasConceptScore W3018341331C2524010 @default.
- W3018341331 hasConceptScore W3018341331C2776193436 @default.
- W3018341331 hasConceptScore W3018341331C2780005051 @default.
- W3018341331 hasConceptScore W3018341331C2780221984 @default.
- W3018341331 hasConceptScore W3018341331C33923547 @default.
- W3018341331 hasConceptScore W3018341331C48921125 @default.
- W3018341331 hasConceptScore W3018341331C61427482 @default.
- W3018341331 hasConceptScore W3018341331C71924100 @default.
- W3018341331 hasConceptScore W3018341331C84393581 @default.
- W3018341331 hasLocation W30183413311 @default.
- W3018341331 hasOpenAccess W3018341331 @default.
- W3018341331 hasPrimaryLocation W30183413311 @default.
- W3018341331 hasRelatedWork W11638149 @default.
- W3018341331 hasRelatedWork W13820118 @default.
- W3018341331 hasRelatedWork W14815892 @default.
- W3018341331 hasRelatedWork W15831214 @default.
- W3018341331 hasRelatedWork W21037343 @default.
- W3018341331 hasRelatedWork W5659942 @default.
- W3018341331 hasRelatedWork W6582677 @default.
- W3018341331 hasRelatedWork W7362987 @default.
- W3018341331 hasRelatedWork W7418428 @default.
- W3018341331 hasRelatedWork W8559187 @default.
- W3018341331 isParatext "false" @default.
- W3018341331 isRetracted "false" @default.
- W3018341331 magId "3018341331" @default.
- W3018341331 workType "book-chapter" @default.