Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zahra Sedighi Maman"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The presence of adverse drug reactions (ADRs) is an ongoing public health concern. While traditional methods to discover ADRs are very costly and limited, it is prudent to predict ADRs through non-invasive methods such as machine learning ba
Externí odkaz:
https://doaj.org/article/4faf32ed044b463b998f4cc883bdccc1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/0ad377de58854b9daaabd220c2222490
Autor:
Zahra Sedighi-Maman, Jonathan J. Heath
Publikováno v:
Sensors, Vol 22, Iss 18, p 6783 (2022)
Although lung cancer survival status and survival length predictions have primarily been studied individually, a scheme that leverages both fields in an interpretable way for physicians remains elusive. We propose a two-phase data analytic framework
Externí odkaz:
https://doaj.org/article/d321671e9d0641c6aa4b7d7f69d29a2c
Publikováno v:
Minerva Psychiatry. 63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d82392e47d063d12787c994045eddc
https://doi.org/10.23736/s2724-6612.21.02190-4
https://doi.org/10.23736/s2724-6612.21.02190-4
Publikováno v:
Perspectives of the ASHA Special Interest Groups. 5:113-118
Purpose The purpose of this study was to identify changes in NCAA Division II female athletes' objective and subjective voice characteristics before, during, and after a regular volleyball season. Method Acoustic, aerodynamic, and Voice Handicap Inde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f7d103244f72e91a3911a84fb3903d5
https://doi.org/10.1044/2019_persp-19-00142
https://doi.org/10.1044/2019_persp-19-00142
Publikováno v:
Biomedical Signal Processing and Control. 68:102615
This paper presents a new fuzzy-based method for the segmentation of brain structures from noisy magnetic resonance (MR) images, in the presence of noise. Our algorithm is a new extension of the fuzzy C-means (FCM) algorithm. The proposed algorithm i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2cdc1667b6e9bd55c2f8ab818263d0b
https://doi.org/10.1016/j.bspc.2021.102615
https://doi.org/10.1016/j.bspc.2021.102615
Autor:
Alexa Mondello, Zahra Sedighi-Maman
Publikováno v:
International Journal of Medical Informatics. 149:104438
Background Despite the increasing number of studies in breast cancer survival prediction, there is little attention put toward deceased patients and their survival lengths. Moreover, developing a model that is both accurate and interpretable remains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f74aaf3f19b62fd1c44da272a074b43
https://doi.org/10.1016/j.ijmedinf.2021.104438
https://doi.org/10.1016/j.ijmedinf.2021.104438
Autor:
Fadel M. Megahed, Zahra Sedighi Maman, Saeed Maghsoodloo, W. Wade Murphy, Fatemah Haji Ahmadi
Publikováno v:
Quality Engineering. 28:455-466
Process capability indices such as C[subscript]p are used extensively in manufacturing industries to assess processes in order to decide about purchasing. In practice, the parameter for calculating C[subscript]p is rarely known and is frequently repl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c833d9ddad858cd87c7813bf7a3fe8
https://doi.org/10.1080/08982112.2016.1172091
https://doi.org/10.1080/08982112.2016.1172091
Autor:
Ying-Ju Chen, Fadel M. Megahed, Lora Cavuoto, Seamus Lombardo, Amir Baghdadi, Zahra Sedighi Maman
Publikováno v:
Expert Systems with Applications. 155:113405
The use of expert systems in optimizing and transforming human performance has been limited in practice due to the lack of understanding of how an individual’s performance deteriorates with fatigue accumulation, which can vary based on both the wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17bf0777d4f8ac514661ff894547f8d
https://doi.org/10.1016/j.eswa.2020.113405
https://doi.org/10.1016/j.eswa.2020.113405
