Isabel de la Torre-Díez

TL;DR: In this paper, the authors study the existing applications for mobile devices exclusively dedicated to the eight most prevalent health conditions by the latest update (2004) of the Global Burden of Disease of the World Health Organization (WHO): iron-deficiency anemia, hearing loss, migraine, low vision, asthma, diabetes mellitus, osteoarthritis (OA), and unipolar depressive disorders.

TL;DR: There are few cost-utility and cost-effectiveness studies for e-health and m-health systems in the literature and some cost-Effectiveness studies demonstrate that telemedicine can reduce the costs, but not all.

TL;DR: A study of the existing laws regulating these aspects in the European Union and the United States, a review of the academic literature related to this topic, and a proposal of some recommendations for designers in order to create mobile health applications that satisfy the current security and privacy legislation are presented.

TL;DR: Social networks are a useful tool for supporting patients suffering from these three diseases, and Facebook shows a higher usage rate than Twitter, perhaps because Twitter is newer than Facebook, and its use is not so generalized.

TL;DR: A new methodological approach for short‐term predictions of time series of volume data at isolated cross sections using a self‐organizing fuzzy neural network for learning and recognition of patterns that characterize the evolution of its samples over a fixed prediction horizon is proposed.