Smart Pregnancy Tracker System Using Social Knowledge Networks for Women

dc.contributor.authorSantur, Yunus
dc.contributor.authorSantur, Sinem Guven
dc.contributor.authorKarakose, Mehmet
dc.date.accessioned2026-08-12T16:41:14Z
dc.date.issued2017
dc.departmentFırat Üniversitesi
dc.description2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY
dc.description.abstractToday, people use the internet extensively to meet their information needs, to socialize, to communicate, to handle formal and informal processes. The web-based information networks established for this purpose are growing day by day and reach a larger audience. Facebook, the world's largest social network, has reached 2 billion users. There are social information networks established for different purposes as well. In this study, it was aimed to construct a social information network specific to women. It is to create a social information network specific to women targeted for work. In web-based network working with membership logic, members can access informative contents such as follow-up of processes such as period, pregnancy, baby vaccination schedule, body mass index, calculators such as baby percentile, tests, articles and visual aided trainings.
dc.description.sponsorshipTUBITAK 1512 Programme (The Scientific and Technological Research Council of Turkey) [2150160]
dc.description.sponsorshipThis work was supported by the TUBITAK 1512 Programme (The Scientific and Technological Research Council of Turkey) under Grant No: 2150160.
dc.description.sponsorshipIEEE Adv Technol Human,Istanbul Teknik Univ,Gazi Univ,Atilim Univ,TBV,Akdeniz Univ,Tmmob Bilgisayar Muhendisleri Odasi
dc.identifier.endpage696
dc.identifier.isbn978-1-5386-0930-9
dc.identifier.orcid0000-0002-3276-3788
dc.identifier.scopus2-s2.0-85040539126
dc.identifier.scopusqualityN/A
dc.identifier.startpage693
dc.identifier.urihttps://hdl.handle.net/11508/45750
dc.identifier.wosWOS:000426856900129
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2017 International Conference on Computer Science and Engineering (Ubmk)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectbig data
dc.subjectelasticsearch
dc.subjectpregnancy tracker
dc.subjectperiod tracker
dc.subjectsocial network
dc.subjectweb crawlerl
dc.titleSmart Pregnancy Tracker System Using Social Knowledge Networks for Women
dc.typeConference Object

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