研究指纹与血型关联性,发现二者无显著相关
Predicting Blood Type: Assessing Model Performance with ROC Analysis
- 分析200人指纹类型与血型,用卡方和皮尔逊检验
- 发现指纹类型与血型无显著关联(p>0.05)
- 适合对生物识别可靠性感兴趣的读者
个人身份识别是法医学、安全和医疗领域的关键问题。传统生物识别技术如DNA分型和虹膜扫描虽准确但耗时且成本高。本研究探讨指纹模式与ABO血型分类之间的关联性。对200名受试者进行分析,将其指纹分为环形、螺旋形和弓形三类,并记录血型。采用卡方检验和皮尔逊相关性分析评估两者关联性。结果显示,环形为最常见的指纹类型,血型O+最为普遍;统计分析表明指纹模式与血型间无显著相关性(p > 0.05),提示二者独立。尽管关联性有限,研究仍强调未来需在更大更多样化群体中开展研究,结合机器学习及多模态生物特征融合。该研究为法医科学中严谨识别流程与综合调查提供了重要启示。
原文摘要 · Abstract (English)
Introduction: Personal identification is a critical aspect of forensic sciences, security, and healthcare. While conventional biometrics systems such as DNA profiling and iris scanning offer high accuracy, they are time-consuming and costly. Objectives: This study investigates the relationship between fingerprint patterns and ABO blood group classification to explore potential correlations between these two traits. Methods: The study analyzed 200 individuals, categorizing their fingerprints into three types: loops, whorls, and arches. Blood group classification was also recorded. Statistical analysis, including chi-square and Pearson correlation tests, was used to assess associations between fingerprint patterns and blood groups. Results: Loops were the most common fingerprint pattern, while blood group O+ was the most prevalent among the participants. Statistical analysis revealed no significant correlation between fingerprint patterns and blood groups (p > 0.05), suggesting that these traits are independent. Conclusions: Although the study showed limited correlation between fingerprint patterns and ABO blood groups, it highlights the importance of future research using larger and more diverse populations, incorporating machine learning approaches, and integrating multiple biometric signals. This study contributes to forensic science by emphasizing the need for rigorous protocols and comprehensive investigations in personal identification.
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