Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jeremy Costello"'
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e45268 (2023)
BackgroundPatients and families need to be provided with trusted information more than ever with the abundance of online information. Several organizations aim to build databases that can be searched based on the needs of target groups. One such grou
Externí odkaz:
https://doaj.org/article/7ed99641602540b39d82c85eca8719c7
Autor:
Manpreet Kaur, Jeremy Costello, Elyse Willis, Karen Kelm, Marek Z Reformat, Francois V Bolduc
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 8, p e39888 (2022)
BackgroundUnderstanding how individuals think about a topic, known as the mental model, can significantly improve communication, especially in the medical domain where emotions and implications are high. Neurodevelopmental disorders (NDDs) represent
Externí odkaz:
https://doaj.org/article/42847b57eb06472a820c3be935ae9c0e
BACKGROUND Patients and families need to be provided with trusted information more than ever with the abundance of online information. Several organizations aim to build databases that can be searched based on the needs of target groups. One such gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f9193fa269972594d692bd2d2b1bcae
https://doi.org/10.2196/preprints.45268
https://doi.org/10.2196/preprints.45268
Publikováno v:
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
BACKGROUND Understanding how individuals think about a topic can help to significantly improve communication. This is especially true when it comes to the medical domain where emotion and implications are high. Neurodevelopmental disorders (NDD) repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd0da23fc49eef87fe28dfe9d9e7581
https://doi.org/10.2196/preprints.39888
https://doi.org/10.2196/preprints.39888