一岁以下婴儿神经发育异常的基于记录的预测建模:前性出生队列研究
Tianyi Zhou1,2, Yaojia Shen1,2, Jinlang Lyu1,2
1Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
Healthcare (Basel, Switzerland)
|April 13, 2024
概括
预测婴儿神经发育异常是早期干预的关键. 这项研究使用了母体数据和机器学习来识别一岁之前的风险,发现怀孕期间药物暴露是一个重要的因素.
科学领域:
- 儿科神经发育 儿童神经发育
- 医疗保健中的机器学习
- 怀孕和儿童发展
背景情况:
- 早期发现婴儿神经发育异常对于及时干预和改善结果至关重要.
- 预测模型提供了一种有希望的方法,可以在发生显著的发育延迟之前识别有风险的婴儿.
- 怀孕期间的母亲因素,包括社会人口统计,行为和药物使用,可能会影响婴儿的神经发育.
研究的目的:
- 开发和验证一个预测模型,用于识别在1岁之前患有神经发育异常的婴儿.
- 利用可解释的机器学习来了解母亲因素对婴儿神经发育的影响.
- 评估孕期母亲药物暴露对后代神经发育结果的预测价值.
主要方法:
- 使用母亲的社会人口统计,行为和药物使用数据开发人工神经网络模型.
- 应用可解释机器学习来识别关键的预测变量.
- 使用诸如曲线下的面积 (AUC),灵敏度,特异性和精度等指标评估模型性能.
主要成果:
- 预测模型在识别神经发育异常方面表现出良好的有效性,特别是在精细运动和解决问题的领域 (AUC分别高达0.670和0.643).
- 对任何神经发育异常的整体模型实现了强的性能,AUC为0.821,灵敏度为0.700,准确度为0.721.
- 在怀孕期间,母亲暴露于乙氨基,铁酸盐和米达佐拉姆等药物被确定为影响婴儿神经发育特定领域的重要因素.
结论:
- 使用母亲信息的预测模型可以有效地识别在1岁之前患有神经发育异常风险的婴儿.
- 怀孕期间母亲的药物暴露是对后代神经发育结果的关键,以前被低估的预测因素.
- 这项研究强调了机器学习在发现早期儿童神经发育关键产前风险因素方面的潜力.
更多相关视频
10:02Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
Published on: March 12, 2020
15.7K
09:24Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
Published on: May 17, 2024
1.4K
相关概念视频
Therapeutic Drug Monitoring: Affecting Factors
Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
Drug Dosing: Infants and Children
Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
Pharmacokinetics in Pediatric Patients: Drug Excretion
In pediatric medicine, understanding the renal function and drug elimination nuances is crucial for administering safe and effective treatments. Newborns, in particular, display markedly slower renal functions than adults, profoundly affecting how drugs are cleared from their bodies. This slower drug clearance requires clinicians to extend the dosing intervals for many medications to prevent drug accumulation and toxicity while ensuring therapeutic efficacy.One key area where these adjustments...
