青少年时关节疾病的预测模型:决策树
Jorge Pontual Waked1, Camilla Siqueira de Aguiar2, João Marcílio Coelho Neto Lins Aroucha3
1Academic Unit of Biological Sciences, Center for Rural Health and Technology, Federal University of Campina Grande, Patos, Brazil.
International journal of paediatric dentistry
|November 28, 2023
概括
患有自我报告的口腔面部疼痛或检查时疼痛的青少年,特别是与抑郁症相结合时,患上关节疾病 (TMD) 的风险很高. 这项研究开发了一种预测模型,以识别这些处于危险的年轻人.
科学领域:
- 口腔健康研究 口腔健康研究
- 青少年健康 青少年健康
- 医学中的预测建模.
背景情况:
- 部疾病 (TMD) 影响青少年,可能会影响他们的发展.
- 了解青少年的TMD风险因素对于早期干预至关重要.
研究的目的:
- 为青少年的TMD开发一个预测决策树 (DT) 模型.
- 为了确定高风险和低风险群体在巴西雷西菲的TMD发展.
主要方法:
- 在里西菲的1342名学童 (年龄在10-17岁) 的横截面研究.
- 使用Pearson的千平方测试,费舍尔的精确测试和CHAID算法进行DT构造的分析.
- 使用SPSS统计软件进行数据分析.
主要成果:
- 在研究人群中,TMD的患病率为33.2%.
- 发现TMD与性,抑郁,自我报告的面部疼痛和临床检查的面部疼痛之间存在显著的关联.
- 该DT模型,包括自我报告的口腔面部疼痛,临床口腔面部疼痛和抑郁症,实现了73.0%的预测能力.
结论:
- 决策树模型证明了青少年TMD的强大预测能力.
- 该模型有效地识别了患有TMD高风险的青少年,特别是那些经历抑郁症并患有口腔面部疼痛 (自我报告或临床) 的青少年.
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