Since its inception, the discipline of psychology has utilized empirical epistemology and mathematical methodologies to infer psychological functioning from direct observation. As new challenges and technological opportunities emerge, scientists are once again challenged to define measurement paradigms for psychological health and illness that solve novel problems and capitalize on new technological opportunities. In this review, we discuss the theoretical foundations of and scientific advances in remote sensor technology and machine learning models as they are applied to quantify psychological functioning, draw clinical inferences, and chart new directions in treatment.

中文翻译：

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机器学习和心理健康的数字测量

自诞生以来，心理学学科一直利用经验认识论和数学方法从直接观察中推断心理功能。随着新挑战和技术机遇的出现，科学家再次面临定义心理健康和疾病测量范式的挑战，以解决新问题并利用新技术机遇。在这篇综述中，我们讨论了遥感技术和机器学习模型的理论基础和科学进展，因为它们被应用于量化心理功能、得出临床推论并制定新的治疗方向。