id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-291526-aau0hnwx	Ge, Fenfen	Predicting Psychological State Among Chinese Undergraduate Students in the COVID-19 Epidemic: A Longitudinal Study Using a Machine Learning	2020-09-17		.txt	text/plain	3445	224	47	We aimed to explore the prevalence rate of probable anxiety and probable insomnia and to find the risk factors among a longitudinal study of undergraduate students using the approach of machine learning. In summary, we aimed to investigate the prevalence rate of probable anxiety and probable insomnia and to confirm the risk factors among undergraduate students during the COVID-19 outbreak. Specifically, it includes psychotic experiences (4 items), suicidal ideation (3 items), the history of anxiety symptoms (4 items), the history of depression symptoms (5 items), paranoia (4 items), inferiority (5 items), sensitivity (4 items), social phobia (4 items), somatization (4 items), dependence (4 items), aggression (4 items), impulsive (4 items), obsession and compulsion (4 items), Internet addiction (5 items), self-injury (4 items), eating problems (4 items), sleeping problem (4 items), school adjustment difficulties (4 items), interpersonal distress (4 items), academic pressure (4 items), employment pressure (4 items) and romantic relationship problems (4 items).	./cache/cord-291526-aau0hnwx.txt	./txt/cord-291526-aau0hnwx.txt