id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-033725-rlzbznav	Unnikrishnan, Vishnu	Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?	2020-09-19		.txt	text/plain	5511	265	62	title: Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations Where to Learn from? We propose an approach that learns from users who contribute long sequences of inputs to predict the subjective perception of wellbeing for users who contribute only short sequences of input data, including users that have very recently joined the platform. -RQ2: Can we predict the entire sequence of observations of a user in U short with a model trained only on data from users in U long ? (i.e, does a model learned on data from users with long sequences transfer to those with short ones?) -RQ3: How can we incorporate early recordings of users in U short incrementally into the model to improve predictive performance? However, it is still possible that a model learned on those data points from long users bring a modest predictability to the disease development of users in U short .	./cache/cord-033725-rlzbznav.txt	./txt/cord-033725-rlzbznav.txt