Smart Pregnancy Tracker System Using Social Knowledge Networks for Women
| dc.contributor.author | Santur, Yunus | |
| dc.contributor.author | Santur, Sinem Guven | |
| dc.contributor.author | Karakose, Mehmet | |
| dc.date.accessioned | 2026-08-12T16:41:14Z | |
| dc.date.issued | 2017 | |
| dc.department | Fırat Üniversitesi | |
| dc.description | 2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY | |
| dc.description.abstract | Today, 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.sponsorship | TUBITAK 1512 Programme (The Scientific and Technological Research Council of Turkey) [2150160] | |
| dc.description.sponsorship | This work was supported by the TUBITAK 1512 Programme (The Scientific and Technological Research Council of Turkey) under Grant No: 2150160. | |
| dc.description.sponsorship | IEEE Adv Technol Human,Istanbul Teknik Univ,Gazi Univ,Atilim Univ,TBV,Akdeniz Univ,Tmmob Bilgisayar Muhendisleri Odasi | |
| dc.identifier.endpage | 696 | |
| dc.identifier.isbn | 978-1-5386-0930-9 | |
| dc.identifier.orcid | 0000-0002-3276-3788 | |
| dc.identifier.scopus | 2-s2.0-85040539126 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 693 | |
| dc.identifier.uri | https://hdl.handle.net/11508/45750 | |
| dc.identifier.wos | WOS:000426856900129 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2017 International Conference on Computer Science and Engineering (Ubmk) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | big data | |
| dc.subject | elasticsearch | |
| dc.subject | pregnancy tracker | |
| dc.subject | period tracker | |
| dc.subject | social network | |
| dc.subject | web crawlerl | |
| dc.title | Smart Pregnancy Tracker System Using Social Knowledge Networks for Women | |
| dc.type | Conference Object |







