COMPARATIVE ANALYSIS OF HEMATOLOGICAL PARAMETERS BASED ON DEVELOPMENT TYPE USING COMPLETE BLOOD COUNT BIOMARKERS
Abstract
The parameters of complete blood count (CBC) give valuable data on the leukocytes, erythrocytes, and platelets and are commonly used to assess physiological status. Nevertheless, there is limited literature on in-depth analyses of variation between various CBC biomarkers using the same dataset. This study analyzed variations in hematological biomarkers based on development type using complete blood count measurements and explored gender-related differences and correlations among hematological parameters. A cross-sectional analysis was conducted using a publicly available hematological dataset containing 300 observations. After preprocessing and data cleaning, 24 hematological parameters
were analyzed. Descriptive statistics were summarized using median and interquartile range (IQR) due to skewed distributions. Independent sample t-tests were used to compare hematological parameters between development type groups and between gender groups, and Pearson correlation analysis examined relationships among biomarkers. Significant differences between development groups were identified in basophil percentage, hematocrit, platelet count, platelet distribution width, and platelet large cell ratio. Platelet-related parameters were higher in Development Type 2, while hematocrit was higher in Development Type 1. Gender-based analysis showed higher lymphocyte percentage in
males and higher neutrophil percentage in females. Correlation analysis demonstrated a strong inverse relationship between lymphocyte and neutrophil percentages and additional associations among erythrocyte and platelet indices. These findings indicate that hematological variation between development groups is most evident in platelet-related biomarkers.
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