Zobrazeno 1 - 10
of 1 231
pro vyhledávání: '"COIERA, ENRICO"'
Autor:
Quiroz, Juan Carlos, Feng, You-Zhen, Cheng, Zhong-Yuan, Rezazadegan, Dana, Chen, Ping-Kang, Lin, Qi-Ting, Qian, Long, Liu, Xiao-Fang, Berkovsky, Shlomo, Coiera, Enrico, Song, Lei, Qiu, Xiaoming, Liu, Sidong, Cai, Xiang-Ran
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 2, p e24572 (2021)
BackgroundCOVID-19 has overwhelmed health systems worldwide. It is important to identify severe cases as early as possible, such that resources can be mobilized and treatment can be escalated. ObjectiveThis study aims to develop a machine learning a
Externí odkaz:
https://doaj.org/article/b9ad18b99f2e4b62baec69ffcaabc594
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e19991 (2020)
BackgroundSmartphone apps, fitness trackers, and online social networks have shown promise in weight management and physical activity interventions. However, there are knowledge gaps in identifying the most effective and engaging interventions and in
Externí odkaz:
https://doaj.org/article/2ae1ccd874a747498020498708a6b74f
Autor:
Yin, Kathleen, Jung, Joshua, Coiera, Enrico, Laranjo, Liliana, Blandford, Ann, Khoja, Adeel, Tai, Wan-Tien, Phillips, Daniel Psillakis, Lau, Annie Y S
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 6, p e16656 (2020)
BackgroundHaving patients self-manage their health conditions is a widely promoted concept, but many patients struggle to practice it effectively. Moreover, few studies have analyzed the nature of work required from patients and how such work fits in
Externí odkaz:
https://doaj.org/article/0cd80c68f5434304a76b7dfe9377bdf5
Autor:
Kocaballi, Ahmet Baki, Quiroz, Juan C, Rezazadegan, Dana, Berkovsky, Shlomo, Magrabi, Farah, Coiera, Enrico, Laranjo, Liliana
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 2, p e15823 (2020)
BackgroundConversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated systems such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. The
Externí odkaz:
https://doaj.org/article/611e6ff0666c49b284314b516580c179
Autor:
Coiera, Enrico
Publikováno v:
Journal of Medical Internet Research, Vol 21, Iss 11, p e16323 (2019)
Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this “last mile” of
Externí odkaz:
https://doaj.org/article/05456ce79b264648a1da170c7e6876d7
Autor:
Kocaballi, Ahmet Baki, Berkovsky, Shlomo, Quiroz, Juan C, Laranjo, Liliana, Tong, Huong Ly, Rezazadegan, Dana, Briatore, Agustina, Coiera, Enrico
Publikováno v:
Journal of Medical Internet Research, Vol 21, Iss 11, p e15360 (2019)
BackgroundThe personalization of conversational agents with natural language user interfaces is seeing increasing use in health care applications, shaping the content, structure, or purpose of the dialogue between humans and conversational agents. O
Externí odkaz:
https://doaj.org/article/8fd1c67efb3b43988dfd3bfddaf62a66
Autor:
Tong, Huong Ly, Coiera, Enrico, Tong, William, Wang, Ying, Quiroz, Juan C, Martin, Paige, Laranjo, Liliana
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 3, p e12181 (2019)
BackgroundTechnological interventions such as mobile apps, Web-based social networks, and wearable trackers have the potential to influence physical activity; yet, only a few studies have examined the efficacy of an intervention bundle combining thes
Externí odkaz:
https://doaj.org/article/da58eb28498a441fa811be0a27c4cd7f
Autor:
Coiera, Enrico
Objective: This paper proposes a framework to support the scientific research of standards so that they can be better measured, evaluated, and designed. Methods: Beginning with the notion of common models, the framework describes the general standard
Externí odkaz:
http://arxiv.org/abs/2304.09114
Machine Learning (ML) has emerged as a powerful form of data modelling with widespread applicability beyond its roots in the design of autonomous agents. However, relatively little attention has been paid to the interaction between people and ML syst
Externí odkaz:
http://arxiv.org/abs/2301.01819