| Titre : | Big data analytics in ehealth |
| Auteurs : | Pr.Amine Abdelmalek, Directeur de thèse ; Salhi Belgacem, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Algèrie:unv saida-Dr Moulay Tahar, 2018 |
| Format : | 51p. / Figure et tableaux / 29 cm |
| Accompagnement : | CD |
| Note générale : | Bibliographie |
| Langues: | Français |
| Catégories : | |
| Résumé : |
In the recent history, Internet of things is considered to be one of the major things to happen with the technology, hand in hand with big data analytics, millions of objects are connected, of different domains and fields, connecting the world making it more smarter In this project, we tried and succeed to deliver a full EMG data classification in a real time streaming application, and in a second hand, making it more efficient throughout the explained steps during the different chapters Our next work will be specifically related to the IoT industry and health technology , making our model more precised and having a scalable architecture , as we know , There is a big need from clinic-centric healthcare to patient-centric healthcare. IoT is expected to be the main change in human's health life the ongoing process is extending our results to other types of movements, and to scale our model for online learning, rather than an offline supervised learning, and that can increase the possibility for more insight |
| Note de contenu : |
1-Big Data 2-Ehealth 3-Implementation |
Exemplaires (1)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| TECT05996 | T.I.MS00525 | Périodique | Ouvrages | 27 | Libre accès Disponible |
