使用多种流体生物标志物的风险因子概况来预测并发症的方法
Priyanka Jadhav1, Vinothini Selvaraju1, Ramakrishnan Swaminathan1
1Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai, India.
Studies in health technology and informatics
|June 30, 2023
概括
检测糖尿病,高血压和心血管疾病等并发性疾病至关重要. 这项研究表明,液体生物标志物可以帮助识别这些复杂的疾病,以进行个性化治疗.
科学领域:
- 发现生物标志物的发现.
- 临床诊断 临床诊断 临床诊断
- 个性化医疗是个性化的医疗.
背景情况:
- 糖尿病,高血压和心血管疾病的同时发生使临床管理复杂化.
- 早期发现并发症对于个性化治疗策略至关重要.
- 液体生物标志物有可能提高诊断准确度,识别并发病症.
研究的目的:
- 用多种流体生物标志物的风险因子概况来区分非并发性和并发性疾病.
- 评估肌酸酸酶,血小板计数,血清肌素和射出分数在区分并发症中的有用性.
- 评估随机森林分类器在识别并发症条件方面的有效性.
主要方法:
- 从选择的流体生物标记物的风险因子概况计算一个"面积特征".
- 使用随机森林 (RF) 分类器来区分并发症和非并发症状态.
- 使用生物标志物,包括肌酸酶,血小板计数,血清肌氨酸和射出分数.
主要成果:
- 来自生物标志物概况的"面积"特征在区分伴随性疾病和非伴随性疾病方面具有重要意义.
- 随机森林分类器在区分两个条件时达到59.91%的最大精度.
- 雷达图片面积被证明比个人生物标志物水平更重要,用于共发病的检测.
结论:
- 多种液体生物标志物可以有效地用于准确检测并发性疾病.
- 通过液体生物标志物识别并发症,可以改善和个性化患者治疗计划.
- 这种方法支持对患有并存慢性疾病的患者进行加强的临床管理.
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