Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Ioannis CH. Paschalidis"'
Autor:
Konrad Herbst, Taiyao Wang, Elena J. Forchielli, Meghan Thommes, Ioannis Ch. Paschalidis, Daniel Segrè
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract The interpretation of complex biological datasets requires the identification of representative variables that describe the data without critical information loss. This is particularly important in the analysis of large phenotypic datasets (
Externí odkaz:
https://doaj.org/article/9644cdae3ae84a309489428d13016588
Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records
Autor:
Zahra Zad, Victoria S. Jiang, Amber T. Wolf, Taiyao Wang, J. Jojo Cheng, Ioannis Ch. Paschalidis, Shruthi Mahalingaiah
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionPredictive models have been used to aid early diagnosis of PCOS, though existing models are based on small sample sizes and limited to fertility clinic populations. We built a predictive model using machine learning algorithms based on an
Externí odkaz:
https://doaj.org/article/ffa4fb64bc2342699c3936c6e7be4430
Autor:
Guoyao Shen, Boran Hao, Mengyu Li, Chad W. Farris, Ioannis Ch. Paschalidis, Stephan W. Anderson, Xin Zhang
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 046116-046116-8 (2023)
The application of compressed sensing (CS)-enabled data reconstruction for accelerating magnetic resonance imaging (MRI) remains a challenging problem. This is due to the fact that the information lost in k-space from the acceleration mask makes it d
Externí odkaz:
https://doaj.org/article/55b7117172b74e4fb07d9e36b5fadc54
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a richer set of patient cha
Externí odkaz:
https://doaj.org/article/51e4cec04efa443f90d020fb353978a1
Autor:
Shahabeddin Sotudian, Aaron Afran, Christina A. LeBedis, Anna F. Rives, Ioannis Ch. Paschalidis, Michael D. C. Fishman
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Predictive models utilizing social determinants of health (SDH), demographic data, and local weather data were trained to predict missed imaging appointments (MIA) among breast imaging patients at the Boston Medical Center (BMC).
Externí odkaz:
https://doaj.org/article/8ed24c16743f469aa5d4cd4349a9332e
Autor:
Nasser Hashemi, Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sandor Vajda, Dima Kozakov
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
Major histocompatibility complex Class I (MHC-I) molecules bind to peptides derived from intracellular antigens and present them on the surface of cells, allowing the immune system (T cells) to detect them. Elucidating the process of this presentatio
Externí odkaz:
https://doaj.org/article/e4ac602f29ef4f8cb40a092b72c4058b
Autor:
Tingting Xu, Alexis de Figueiredo Veiga, Karissa C. Hammer, Ioannis Ch. Paschalidis, Shruthi Mahalingaiah
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract The aim of this study is to determine the most informative pre- and in-cycle variables for predicting success for a first autologous oocyte in-vitro fertilization (IVF) cycle. This is a retrospective study using 22,413 first autologous oocyt
Externí odkaz:
https://doaj.org/article/b89a80cee19d48a2ba38e1dbaa3e8973
Publikováno v:
PLoS ONE, Vol 18, Iss 3 (2023)
Despite their satisfactory performance, most existing listwise Learning-To-Rank (LTR) models do not consider the crucial issue of robustness. A data set can be contaminated in various ways, including human error in labeling or annotation, distributio
Externí odkaz:
https://doaj.org/article/ff685e660361462bb84cccda604a05b8
Publikováno v:
BMC Health Services Research, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background There are plenty of studies investigating the disparity of payer status in accessing to care. However, most studies are either disease-specific or cohort-specific. Quantifying the disparity from the level of facility through a lar
Externí odkaz:
https://doaj.org/article/21f709aeb6d047a2a6b9405a2bb29464
Publikováno v:
Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-15 (2021)
Abstract Background Identification of reliable, affordable, and easy-to-use strategies for detection of dementia is sorely needed. Digital technologies, such as individual voice recordings, offer an attractive modality to assess cognition but methods
Externí odkaz:
https://doaj.org/article/de1a4016f04c4351a293422434cfc4c8