Evaluating the use of body mass index change as a proxy for anorexia nervosa recovery: a machine learning perspective.

IF 4.5 3区 医学 Q2 NUTRITION & DIETETICS
Tianfei Yu, Haolan Zhang, Yunhan Zhang, Ming Li
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引用次数: 0

Abstract

This paper critically examines the study by Brizzi et al., which applied explainable machine learning to predict short-term treatment outcomes in patients hospitalized for anorexia nervosa (AN). While the study presents an innovative and promising methodological framework, important conceptual and practical issues warrant further scrutiny. Chief among these is the reliance on body mass index (BMI) change as the sole proxy for treatment efficacy. This unidimensional metric, though pragmatic in acute inpatient settings, fails to capture the broader psychological and behavioral dimensions integral to AN recovery. The paper also interrogates the clinical applicability of machine learning tools, emphasizing both their potential to illuminate complex predictive patterns and the challenges they pose in terms of data sufficiency, interpretability, and real-world integration. Moreover, the identification of body uneasiness, interpersonal difficulties, and personal alienation as key predictive factors aligns with established theoretical models of AN, reinforcing the need for targeted psychotherapeutic interventions. However, further research is needed to explore how such predictors interact with specific treatment modalities and influence long-term outcomes. Overall, this paper underscores the value of integrating psychological variables into predictive modeling while cautioning against reductive interpretations of recovery in complex psychiatric disorders.

评估使用身体质量指数变化作为神经性厌食症恢复的代理:机器学习的角度。
本文严格审查了Brizzi等人的研究,该研究应用可解释的机器学习来预测住院神经性厌食症(AN)患者的短期治疗结果。虽然这项研究提出了一个创新和有前途的方法框架,但重要的概念和实际问题值得进一步审查。其中最主要的是依赖身体质量指数(BMI)的变化作为治疗效果的唯一代表。这种单向度的指标,虽然在急性住院病人设置实用,未能捕捉到更广泛的心理和行为方面的整体AN恢复。本文还探讨了机器学习工具的临床适用性,强调了它们在阐明复杂预测模式方面的潜力,以及它们在数据充分性、可解释性和现实世界整合方面带来的挑战。此外,将身体不适、人际关系困难和个人疏离作为关键预测因素的识别与已建立的AN理论模型相一致,从而加强了有针对性的心理治疗干预的必要性。然而,需要进一步的研究来探索这些预测因子如何与特定的治疗方式相互作用并影响长期结果。总体而言,本文强调了将心理变量整合到预测模型中的价值,同时警告不要对复杂精神疾病的恢复进行简化解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Eating Disorders
Journal of Eating Disorders Neuroscience-Behavioral Neuroscience
CiteScore
5.30
自引率
17.10%
发文量
161
审稿时长
16 weeks
期刊介绍: Journal of Eating Disorders is the first open access, peer-reviewed journal publishing leading research in the science and clinical practice of eating disorders. It disseminates research that provides answers to the important issues and key challenges in the field of eating disorders and to facilitate translation of evidence into practice. The journal publishes research on all aspects of eating disorders namely their epidemiology, nature, determinants, neurobiology, prevention, treatment and outcomes. The scope includes, but is not limited to anorexia nervosa, bulimia nervosa, binge eating disorder and other eating disorders. Related areas such as important co-morbidities, obesity, body image, appetite, food and eating are also included. Articles about research methodology and assessment are welcomed where they advance the field of eating disorders.
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