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020 _a9783030316204
024 7 _a10.1007/978-3-030-31620-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aBF39.5
_b2019 EB
245 0 0 _aDigital Phenotyping and Mobile Sensing :
_bNew Developments in Psychoinformatics
_cedited by Harald Baumeister, Christian Montag.
250 _aFirst edition
264 1 _aCham, Switzerland
_bSpringer International Publishing
_c2019
300 _a1 recurso en línea (XX, 291 páginas)
_b56 ilustraciones, 47 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Neuroscience Psychology and Behavioral Economics
_x2196-6605
490 0 _aBiomedical and Life Sciences (Springer-11642)
505 0 _aMobile Sensing and Digital Phenotyping: Privacy and Ethics -- Mobile Sensing and Digital Phenotyping in Psycho-Social Sciences -- Mobile Sensing and Digital Phenotyping in Health Sciences.
520 3 _aThis book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications of mobile sensing (such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns) and emerging trends. Machine learning and deep learning approaches are discussed, and important considerations regarding privacy risks and ethical issues are assessed. In addition to essential background information on various technologies and theoretical methods, the book also presents relevant case studies and good scientific practices, thus addressing researchers and professionals alike. To cite Thomas R. Insel, who wrote the foreword to this book: "Patients will only use digital phenotyping if it solves a problem, perhaps a digital smoke alarm that can prevent a crisis. Providers will only use digital phenotyping if it fits seamlessly into their crowded workflow. If we can earn public trust, there is every reason to be excited about this new field. Suddenly, studying human behavior at scale, over months and years, is feasible.".
988 _aPrimersemestre_2020_BiomedLife
650 7 _aPsicología
_xProceso de datos
700 1 _aBaumeister, Harald
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMontag, Christian
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030316198
776 0 8 _iPrinted edition:
_z9783030316211
776 0 8 _iPrinted edition:
_z9783030316228
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-31620-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eh
_zSI