机器学习在情绪障碍研究中的应用及展望

Application and prospect of machine learning in study on emotional disorders

近年来,情绪障碍的发病率不断攀升,但由于人们对情绪障碍了解不足以及传统的筛查、诊断方法存在局限性,使得许多患者错过了最佳干预期。作为人工智能的核心,机器学习在情绪障碍研究领域逐渐受到重视,其应用已涵盖影响因子的分析、疾病的早期预测、潜在患者的筛查、辅助诊断和辅助干预治疗等各个环节,但在算法改进、人工智能伦理及与临床诊断的结合等方面仍有待深入研究和应用探索。

In recent years,the incidence of emotional disorders has been rising.However,due to the lack of understanding of emotional disorders and the limitations of traditional screening and diagnosis methods,many patients have missed the best intervention expectations.As the core of artificial intelligence,machine learning has gradually attracted attention in the field of researches of emotional disorders.Its application has covered the analysis of influencing factors,early prediction of diseases,screening of potential patients,auxiliary diagnosis,and auxiliary intervention treatment,but it still needs in-depth research and application exploration in algorithm improvement,artificial intelligence ethics,and the combination with clinicians'diagnosis.