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A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The...

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2461488497

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

About this item

Full title

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-11, Vol.15 (11), p.e0242197-e0242197

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The use of mobile communication devices in health care is spreading worldwide. A huge amount of health data collected by these devices (mobile health data) is nowadays available. Mobile health data may allow for real-time monitoring of patients and delivering ad-hoc treatment recommendations. This paper aims at showing how this may be done by explo...

Alternative Titles

Full title

A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2461488497

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2461488497

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0242197

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