Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and remission. Designing personalized treatment strategies for AD is challenging, given the apparent unpredictability and large variation in AD symptoms and treatment responses within and across individuals. Better prediction of AD severity over time for individual patients could help to select optimum timing and type of treatment for improving disease control.

中文翻译：

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使用机械机器学习模型个性化预测每日湿疹严重程度评分

特应性皮炎 (AD) 是一种慢性炎症性皮肤病，有发作和缓解期。鉴于个体内部和个体之间 AD 症状和治疗反应的明显不可预测性和巨大差异，为 AD 设计个性化治疗策略具有挑战性。随着时间的推移，更好地预测个别患者的 AD 严重程度可能有助于选择最佳时机和治疗类型，以改善疾病控制。