在中国成年患者中使用机器学习技术预测酸度
Nannan Yao1, Qiongyue Zhao1, Ying Cao1
1Department of Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, China.
Pharmaceutical research
|January 22, 2025
概括
机器学习准确地预测了中国患者的酸 (VPA) 水平. 一个额外的树算法模型,优化了关键的患者数据,帮助临床医生在药物管理.
科学领域:
- 药物基因组学和精准医学
- 医疗保健中的人工智能
- 临床病管理管理
背景情况:
- 酸 (VPA) 是一种广泛使用的抗药物.
- 准确的VPA最低度对于治疗疗效和最小化毒性至关重要.
- 预测VPA水平可以优化个性化治疗策略.
研究的目的:
- 开发和验证一个最佳的机器学习 (ML) 模型来预测VPA低谷度.
- 确定影响中国成年患者VPA水平的关键临床变量.
- 为了加强对VPA治疗的临床决策.
主要方法:
- 一项涉及102名中国成年患者的回顾性研究.
- 使用27个变量开发和比较13个ML算法.
- 应用特征选择以优化预测模型.
- 使用MAE,RMSE,R2和精度指标验证表现最好的模型.
主要成果:
- 额外树算法表现出卓越的性能,初始MAE为13.08.
- 特性选择确定了9个关键变量 (例如,每日剂量,尿酸,白蛋白),这些变量显著提高了预测准确性.
- 优化模型的MAE为6.82,RMSE为9.62,R2为0.720,相对准确率为61.90%,绝对准确率为90.48%.
结论:
- 基于ML的VPA最低度预测模型使用额外树算法是有效的.
- 优化的模型为临床实践中的个性化VPA药物指导提供了宝贵的见解.
- 这种方法支持精准医学在治疗中.
更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.2K
09:06Manipulation of Epileptiform Electrocorticograms ECoGs and Sleep in Rats and Mice by Acupuncture
Published on: December 22, 2016
9.5K
相关概念视频
01:24Arteries of the Lower Limbs
177
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
177
01:20Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein
224
Antiepileptic drugs, such as levetiracetam (Keppra) and brivaracetam (Briviact), have emerged as crucial tools in managing epilepsy. These medications exert their therapeutic effects by targeting the synaptic vesicle protein SV2A, a transmembrane glycoprotein primarily found in the brain.
SV2A is a transmembrane glycoprotein located predominantly in the brain, modulating the release of neurotransmitters for neuronal communication. Both levetiracetam and brivaracetam exhibit a high affinity for...
SV2A is a transmembrane glycoprotein located predominantly in the brain, modulating the release of neurotransmitters for neuronal communication. Both levetiracetam and brivaracetam exhibit a high affinity for...
224