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Nevertheless, it remains fairly unknown to the user to which extent the data the applications use can be relied upon and, therefore, to which extent the output of a given application is trustworthy or not. To help developers and researchers and to provide a common ground of data validation algorithms and techniques, this paper presents a review of the most commonly used data validation algorithms, along with its usage scenarios, and proposes a classification for these algorithms. This paper also discusses the process of achieving statistical significance and trust for the desired output.<\/jats:p>","DOI":"10.1155\/2016\/2839372","type":"journal-article","created":{"date-parts":[[2016,9,25]],"date-time":"2016-09-25T17:00:51Z","timestamp":1474822851000},"page":"1-9","source":"Crossref","is-referenced-by-count":34,"title":["Validation Techniques for Sensor Data in Mobile Health Applications"],"prefix":"10.1155","volume":"2016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3394-6762","authenticated-orcid":true,"given":"Ivan Miguel","family":"Pires","sequence":"first","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Universidade of Beira Interior, Covilh\u00e3, Portugal"},{"name":"Altranportugal, Lisbon, Portugal"},{"name":"Assisted Living Computing and Telecommunications Laboratory (ALLab), Computer Science Department, Universidade of Beira Interior, Covilh\u00e3, 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