TY  - JOUR
T1  - Biomedical modelling through path analysis approach
AU  - Ahmad, Arshed
AU  - Sarı, Murat
AU  - Demir, İbrahim
PY  - 2024
DA  - September
Y2  - 2024
DO  - 10.31801/cfsuasmas.1328284
JF  - Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
JO  - Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat.
PB  - Ankara University
WT  - DergiPark
SN  - 1303-5991
SP  - 684
EP  - 694
VL  - 73
IS  - 3
LA  - en
AB  - Since blood disease markers are one of the most prevalent health problems in this era, the aim of this study is to forecast pathological subjects from a population through biomedical variables of individuals using the currently produced path analysis (PA) model. In terms of the dataset, 539 subjects were used to implement this study. A mathematical approach based on the PA has been used to create a reliable biomedical model in this research that investigates if there exists a relation between the various anemia types and the biomedical variables through observational variables (the blood variables, age, and sex) and anemia types. Other linear approaches were taken into consideration for comparison, in terms of $R^2$ value of the model, which has a value of 0.699. The findings reveal that the model has great predictive potential. It is believed that the developed model, which includes observational variables, will help healthcare providers predictively plan appropriate treatment programs for their patients.
KW  - Anemia
KW  - prediction
KW  - biomedical modelling
KW  - path analysis
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UR  - https://doi.org/10.31801/cfsuasmas.1328284
L1  - https://dergipark.org.tr/en/download/article-file/3267901
ER  -