Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Nipon Charoenkitkarn"'
Publikováno v:
IEEE Access, Vol 11, Pp 94545-94562 (2023)
Recently there has been a tremendous growth in the popularity of artificial intelligence (AI) based conversational agents (CA). Their support for anthropomorphism and human-likeness makes them popular. However, being anthropomorphic raises a question
Externí odkaz:
https://doaj.org/article/0d64cecf0f6544d98a7ae1fdc50def50
Publikováno v:
IEEE Access, Vol 7, Pp 43394-43405 (2019)
Clustering prior to regression analysis improves the accuracy of prediction in clinical decision making. However, most previously described methods focused on numerical data only. This paper investigated how well textual features can improve the accu
Externí odkaz:
https://doaj.org/article/7b7bde3dda92479c9d0a5008a1734640
Publikováno v:
IEEE Access, Vol 6, Pp 10483-10496 (2018)
Although an Internet-of-Things-based smart home solution can provide an improved and better approach to healthcare management, yet its end user adoption is very low. With elderly people as the main target, these conservative users pose a serious chal
Externí odkaz:
https://doaj.org/article/83912dff5bb44dffab402ce1058a8427
Publikováno v:
IEEE Access, Vol 7, Pp 43394-43405 (2019)
Clustering prior to regression analysis improves the accuracy of prediction in clinical decision making. However, most previously described methods focused on numerical data only. This paper investigated how well textual features can improve the accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9980e85e8eae780f530754c74775669b
https://ieeexplore.ieee.org/document/8675933/
https://ieeexplore.ieee.org/document/8675933/
Autor:
Hassaan Inayatali, Jonathan H. Chan, Nipon Charoenkitkarn, Amy Chen, Jonathan Jaegerman, Dunja Matic
Publikováno v:
CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics.
Covid-19 is a novel epidemic that has hugely impacted countries worldwide [13]; and for which there is a need for quick and accurate screening methods. Current testing methods include the reverse transcription-polymerase chain reaction test and medic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3187b4a0a1c41f4c962720da98d4c47d
https://doi.org/10.1145/3429210.3429213
https://doi.org/10.1145/3429210.3429213
Publikováno v:
BIBE
Accurately predicting the time to an event of interest is an important problem in a wide range of real-world applications. However, prediction is often difficult because many medical datasets have a large number of unlabeled (“censored”) instance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4974b4ca227fef5136801d0c1f5ab8
https://doi.org/10.1109/bibe50027.2020.00049
https://doi.org/10.1109/bibe50027.2020.00049
Publikováno v:
IEEE Access, Vol 6, Pp 10483-10496 (2018)
Although an Internet-of-Things-based smart home solution can provide an improved and better approach to healthcare management, yet its end user adoption is very low. With elderly people as the main target, these conservative users pose a serious chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e4833066b8b28eedaec26db2200ed4b
https://ieeexplore.ieee.org/document/8300511/
https://ieeexplore.ieee.org/document/8300511/
Autor:
Mark Chignell, Prachaya Charoenkitkarn, Nipon Charoenkitkarn, Rocco Tak For Cheuk, Andrea Wilkinson, Jenna Blumenthal
Publikováno v:
Procedia Computer Science. 111:87-94
Walking and cognitive function are interrelated, and thus normal control of gait is perturbed by cognitive impairment. Changes in gait, as measured by quantitative analysis, can be a useful mechanism for detecting early indicators of cognitive declin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b8284e7073dd62d1220da4a5facb283
https://doi.org/10.1016/j.procs.2017.06.014
https://doi.org/10.1016/j.procs.2017.06.014
Publikováno v:
BIBM
There has been considerable research on developing symptom clusters for cancer patients but finding a consistent and replicable typology of patients in terms of the kinds of symptoms they experience remains elusive (e.g., [1]). One reason for lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0e7d36cd3fd50c3216ace6248ab9d62
https://doi.org/10.1109/bibm47256.2019.8982936
https://doi.org/10.1109/bibm47256.2019.8982936
Publikováno v:
BIBM
Purpose. This study evaluates the predictive ability of patient types (clusters of similar patients) in identifying cancer patients at high risk for emergency department (ED) visits within one year (365 days) following their index date. A descriptive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be77e61f68bde8c774bef2191a939c4
https://doi.org/10.1109/bibm47256.2019.8983087
https://doi.org/10.1109/bibm47256.2019.8983087