相关实验视频

Updated: Sep 9, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

通过常规血液检测诊断精神分裂症:机器学习算法的比较分析

Yavuz Selim Ogur¹, Ayse Erdogan Kaya², Nur Banu Ogur³

¹Department of Psychiatry, Serdivan State Hospital, Sakarya, Türkiye.

Frontiers in psychiatry

|September 4, 2025

概括

机器学习模型使用常规血液检测准确地识别了精神分裂症. 像葡萄糖和铁这样的关键生物标志物显示出客观诊断的潜力,

科学领域:

生物标志物的发现
计算精神病学
临床诊断

背景情况:

精神分裂症诊断依赖于临床标准, 缺乏客观的生物标志物.
外周血液生物标志物和机器学习 (ML) 提供了改善诊断准确性的潜力.
目前的诊断方法在客观性和有效性方面面临挑战.

研究的目的:

开发和评估使用周围血液生物标志物的精神分裂症诊断ML模型.
确定最佳生物标记子集,以区分精神分裂症患者和健康对照.
评估基于ML的诊断性能和潜在的临床实用性.

主要方法:

对203名精神分裂症患者和192名健康对照者的回顾性病例对照研究.
抽取和计算常规的血液学和生物化学参数.
灰狼优化 (GWO) 的应用用于生物标志物选择和各种ML模型 (RF,XGBoost,SVM,KNN,LR) 的十倍交叉验证.

主要成果:

在GWO优化后,XGBoost获得了最高的精度 (95.90%) 和特异性 (95.54%).
随机森林显示出强的表现,准确率为94.95%,回忆率为96.25%.
主要区分生物标志物包括总蛋白质,葡萄糖,铁,肌酸酶,总 bilirubin,尿酸,和.

结论:

使用常规血液参数的ML模型显示精神分裂症的高诊断准确性.
与昂贵的方法相比,已识别的生物标志物和开发的模型提供了成本有效的方法.
建议进行进一步的外部验证,以确认其通用性和临床适用性.

关键词:

生物标志物血液参数灰色狼优化 (GWO)机器学习精神分裂症

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

相关概念视频

Biological Causes of Schizophrenia

Biological Causes of Schizophrenia

Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin...

Psychological and Sociocultural Causes of Schizophrenia

Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...