id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-344307-541hu7so	Marsch, Lisa A.	Digital health data-driven approaches to understand human behavior	2020-07-12		.txt	text/plain	5824	255	30	It provides a synthesis of the scientific literature evaluating how digitally derived empirical data can inform our understanding of health behavior, with a particular focus on understanding the assessment, diagnosis and clinical trajectories of psychiatric disorders. Finally, it concludes with a discussion of future directions and timely opportunities in this line of research and its clinical application, including the development of personalized digital interventions (e.g., behavior change interventions) informed by digital health assessment. Overview of the scientific literature on the application of digitally derived empirical data to understand health behavior and psychopathology A robust and rapidly growing scientific literature is increasingly demonstrating the potential utility of digital assessment in revealing new insights into human behavior, including psychological and psychiatric disorders. And, the real-world precision assessment that digital health methods enable are providing unprecedented insights into human behavior and psychiatric disorders and can inform interventions that are personalizable and adaptive to individuals' changing needs and preferences over time.	./cache/cord-344307-541hu7so.txt	./txt/cord-344307-541hu7so.txt