系统回顾
鉴定(生物学)
人工智能
领域(数学分析)
机器学习
计算机科学
心理学
数据科学
应用心理学
社会化媒体
梅德林
知识管理
背景(考古学)
医疗保健
支持向量机
荟萃分析
作者
L. Martín González,Gastón Márquez,Solange Parra‐Soto,M. A. Cardona,Carla Taramasco
摘要
ML holds significant potential for discerning patterns associated with the social determinants of cancer. Nevertheless, research in this domain remains fragmented and inconsistent. Future investigations should prioritize the integration of contextual factors, enhance model transparency, and bolster external validation. These measures are crucial for the development of more equitable, generalizable, and actionable ML applications in cancer care.
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