Zobrazeno 1 - 10
of 433
pro vyhledávání: '"Donald C. Wunsch"'
Publikováno v:
IEEE Access, Vol 12, Pp 11114-11124 (2024)
Understanding the performance and validity of clustering algorithms is both challenging and crucial, particularly when clustering must be done online. Until recently, most validation methods have relied on batch calculation and have required consider
Externí odkaz:
https://doaj.org/article/b23e515d2b2a40ff84500c0069015d96
Autor:
Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, Donald C. Wunsch
Publikováno v:
Information, Vol 15, Iss 3, p 125 (2024)
Biomedical datasets distill many mechanisms of human diseases, linking diseases to genes and phenotypes (signs and symptoms of disease), genetic mutations to altered protein structures, and altered proteins to changes in molecular functions and biolo
Externí odkaz:
https://doaj.org/article/5ccd300afced4175a4f3f09fd8436ed8
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Disease phenotypes are characterized by signs (what a physician observes during the examination of a patient) and symptoms (the complaints of a patient to a physician). Large repositories of disease phenotypes are accessible through the Online Mendel
Externí odkaz:
https://doaj.org/article/453a2270e5364b1f824417e9474dfde0
Autor:
Quentin Howlett-Prieto, Chelsea Oommen, Michael D. Carrithers, Donald C. Wunsch, Daniel B. Hier
Publikováno v:
Frontiers in Digital Health, Vol 4 (2023)
We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis subjects based on their cumulative signs and symptoms. The electronic medical records of 113 subjects with relapsing-remitting multiple sclerosis were reviewed, s
Externí odkaz:
https://doaj.org/article/b7afad5a0a8e4fdb8f230ab212d714f2
Enhanced neurologic concept recognition using a named entity recognition model based on transformers
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
Although deep learning has been applied to the recognition of diseases and drugs in electronic health records and the biomedical literature, relatively little study has been devoted to the utility of deep learning for the recognition of signs and sym
Externí odkaz:
https://doaj.org/article/9b27d25f6c334a57917fb41a7a33f61c
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
The cytoskeletal protein tau is implicated in the pathogenesis of Alzheimer's disease which is characterized by intra-neuronal neurofibrillary tangles containing abnormally phosphorylated insoluble tau. Levels of soluble tau are elevated in the brain
Externí odkaz:
https://doaj.org/article/178188a12d1842128fcf139dc5604c33
Autor:
Daniel B. Hier, Tayo Obafemi-Ajayi, Matthew S. Thimgan, Gayla R. Olbricht, Sima Azizi, Blaine Allen, Bassam A. Hadi, Donald C. Wunsch
Publikováno v:
Biomarker Research, Vol 9, Iss 1, Pp 1-17 (2021)
Abstract Background The use of blood biomarkers after mild traumatic brain injury (mTBI) has been widely studied. We have identified eight unresolved issues related to the use of five commonly investigated blood biomarkers: neurofilament light chain,
Externí odkaz:
https://doaj.org/article/c5c8659cb7d449df818596860ad3dae7
Autor:
Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch, Gayla R. Olbricht, Sima Azizi, Blaine Allen
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-15 (2020)
Abstract Background Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between concepts can outperfo
Externí odkaz:
https://doaj.org/article/5f4b14967e54409992ae66e3d1dbba4b
Publikováno v:
IEEE Access, Vol 8, Pp 22025-22047 (2020)
Validation is one of the most important aspects of clustering, particularly when the user is designing a trustworthy or explainable system. However, most clustering validation approaches require batch calculation. This is an important gap because of
Externí odkaz:
https://doaj.org/article/379629c29b0240cab23de0153efdbbdf
Autor:
Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi
Publikováno v:
IEEE Access, Vol 8, Pp 180690-180705 (2020)
We present a framework for an explainable and statistically validated ensemble clustering model applied to Traumatic Brain Injury (TBI). The objective of our analysis is to identify patient injury severity subgroups and key phenotypes that delineate
Externí odkaz:
https://doaj.org/article/e273e6bb7c4f48e19cd1682748569b82