Informatik
Refine
Year of publication
Document Type
- Conference proceeding (569)
- Journal article (199)
- Book chapter (62)
- Doctoral Thesis (18)
- Book (10)
- Anthology (10)
- Patent / Standard / Guidelines (2)
- Report (2)
- Working Paper (2)
Is part of the Bibliography
- yes (874)
Institute
- Informatik (874)
- Technik (2)
- ESB Business School (1)
Publisher
- Springer (174)
- Hochschule Reutlingen (104)
- IEEE (89)
- Gesellschaft für Informatik (60)
- Elsevier (46)
- ACM (33)
- IARIA (26)
- Springer Gabler (15)
- Association for Information Systems (AIS) (12)
- De Gruyter (12)
- RWTH Aachen (11)
- Università Politecnica delle Marche (11)
- MDPI (10)
- Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. (9)
- SCITEPRESS (8)
- Haufe (7)
- IOS Press (7)
- Emerald (6)
- University of Hawai'i at Manoa (6)
- Association for Computing Machinery (5)
- SPIE (5)
- Fac. of Organization & Informatics, Univ. of Zagreb (4)
- IGI Global (4)
- RWTH (4)
- Springer International Publishing (4)
- University of Hawaii at Manoa (4)
- Universität Tübingen (4)
- American Marketing Association (3)
- Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e. V. (3)
- International Academy of Business Disciplines (3)
- Open Proceedings.org, Univ. of Konstanz (3)
- Riga Technical University Press (3)
- Sage (3)
- Science and Technology Publications (3)
- Springer Science + Business Media B.V (3)
- Springer Science + Business Media B.V. (3)
- University of Konstanz, University Library (3)
- Wiley-Blackwell (3)
- Academic Conferences International (2)
- American Marketing Assoc. (2)
- BioMed Central (2)
- CSW-Verlag (2)
- Curran Associates (2)
- Curran Associates Inc. (2)
- Deutsche Aktuarvereinigung (DAV) e.V. (2)
- EuroMed Press (2)
- GMDS e.V. (2)
- Gabler (2)
- Gesellschaft für Informatik e.V (2)
- HTWG Konstanz (2)
- IADIS (2)
- IADIS Press (2)
- IBM Research Division (2)
- International Association for Development of the Information Society (2)
- International Society for Photogrammetry and Remote Sensing (2)
- PeerJ Ltd. (2)
- Smart Home & Living Baden-Württemberg e.V. (2)
- Springer Vieweg (2)
- Taylor & Francis (2)
- The Association for Computing Machinery, Inc. (2)
- Thieme (2)
- University of Hawaii (2)
- University of the West of Scotland (2)
- Universität Stuttgart (2)
- 3m5.Media GmbH (1)
- AIP Publishing (1)
- ARVO (1)
- Academic Conferences International Limited (1)
- Association for Computing Machinery ACM (1)
- Association of Computing Machinery (1)
- CIDR (1)
- CMP-WEKA-Verlag (1)
- Cambridge University Press (1)
- Circle International (1)
- Copenhagen Business School (1)
- Cornell Universiy (1)
- Cuvillier Verlag (1)
- DIMECC Oy (1)
- DUZ Medienhaus (1)
- Deutsche Gesellschaft für Medizinische Physik (1)
- Deutsche Gesellschaft für die Computer- und Roboterassistierte Chirurgie e.V. (1)
- EDP Sciences (1)
- EMAC (1)
- Ed2.0Work (1)
- Elektronikpraxis, Vogel Business Media GmbH & Co. KG (1)
- EuroMedPress (1)
- Eurographics Association (1)
- Fachausschuß Management der Anwendungsentwicklung und -wartung (1)
- Faculty of Economics (1)
- Faculty of Organization and Informatics, University of Zagreb (1)
- Frontiers Media (1)
- Frontiers Research Foundation (1)
- GBI-Genios (1)
- GITO-Verl. (1)
- German Medical Science Publishing House (1)
- Haufe Group (1)
- Hochschule Heilbronn (1)
- Hochschule der Medien (1)
- IGI Publ. (1)
- IGI Publishing (1)
- IMC Information multimedia communication AG (1)
- Inderscience Publ. (1)
- Inst. of Electrical and Electronics Engineers (1)
- JMIR Publications (1)
- Johannes Kepler University Linz (1)
- Karlsruher Institut für Technologie (1)
- Lund University (1)
- MCB University Press (1)
- MFG Stiftung Baden-Württemberg (1)
- MHP. a Porsche Company (1)
- Morressier (1)
- NextMed (1)
- OpenProceedings (1)
- PLOS (1)
- Pabst Science Publishers (1)
- Pallas Press (1)
- PeerJ (1)
- Riga Technical University (1)
- Routledge, Taylor & Francis Group (1)
- SISSA (1)
- SSRN (1)
- SciKA (1)
- Science and Technology Publications, Lda (1)
- Shaker Verlag (1)
- Society for Science and Education (1)
- Springer Nature (1)
- Springer Science + Business Media (1)
- Technical University (1)
- Technische Universität Darmstadt (1)
- The Association for Computing Machinery (1)
- UVW, Universitätsverlag Verlag Webler (1)
- Univ. de Jaén (1)
- Universidad Carlos III de Madrid (1)
- University of Minho (1)
- University of Portsmouth (1)
- University of Zagreb Faculty of Organization and Informatics (1)
- Universität Leipzig (1)
- Universität Trier (1)
- Universität des Saarlandes (1)
- Univerzita Tomáe Bati (1)
- Wiley (1)
- World Scientific (1)
- World Scientific Publishing (1)
- de Gruyter (1)
- dpunkt-Verlag (1)
- libreriauniversitaria.it.edizioni (1)
- vwh (1)
Menopause is the permanent cessation of menstruation occurring naturally in women's aging. The most frequent symptoms associated with menopausal phases are mucosal dryness, increased weight and body fat, and changes in sleep patterns. Oral symptoms in menopause derived from saliva flow reduction can lead to dry mouth, ulcers, and alterations of taste and swallowing patterns. However, the oral health phenotype of postmenopausal women has not been characterized. The aim of the study was to determine postmenopausal women's oral phenotype, including medical history, lifestyle, and oral assessment through artificial intelligence algorithms. We enrolled 100 postmenopausal women attending the Dental School of the University of Seville were included in the study. We collected an extensive questionnaire, including lifestyle, medication, and medical history. We used an unsupervised k-means algorithm to cluster the data following standard features for data analysis. Our results showed the main oral symptoms in our postmenopausal cohort were reduced salivary flow and periodontal disease. Relying on the classical assessment of the collected data, we might have a biased evaluation of postmenopausal women. Then, we used artificial intelligence analysis to evaluate our data obtaining the main features and providing a reduced feature defining the oral health phenotype. We found 6 clusters with similar features, including medication affecting salivation or smoking as essential features to obtain different phenotypes. Thus, we could obtain main features considering differential oral health phenotypes of postmenopausal women with an integrative approach providing new tools to assess the women in the dental clinic.