Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Daniel J. Lizotte"'
Autor:
Caroline Strickland, Muhammad Zakar, Chandrika Saha, Sareh Soltani Nejad, Noshin Tasnim, Daniel J. Lizotte, Anwar Haque
Publikováno v:
Sensors, Vol 24, Iss 9, p 2746 (2024)
Our increasingly connected world continues to face an ever-growing number of network-based attacks. An Intrusion Detection System (IDS) is an essential security technology used for detecting these attacks. Although numerous Machine Learning-based IDS
Externí odkaz:
https://doaj.org/article/bae8fec08f6c4c20b144efea4a4a9b28
Autor:
Amanda L. Terry, Jacqueline K. Kueper, Ron Beleno, Judith Belle Brown, Sonny Cejic, Janet Dang, Daniel Leger, Scott McKay, Leslie Meredith, Andrew D. Pinto, Bridget L. Ryan, Moira Stewart, Merrick Zwarenstein, Daniel J. Lizotte
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Effective deployment of AI tools in primary health care requires the engagement of practitioners in the development and testing of these tools, and a match between the resulting AI tools and clinical/system needs in primary health
Externí odkaz:
https://doaj.org/article/28b3d3ac8d2a4bb383703a0dbfeac6db
Autor:
Nithin J. Menon, Brayden D. Halvorson, Gabrielle H. Alimorad, Jefferson C. Frisbee, Daniel J. Lizotte, Aaron D. Ward, Daniel Goldman, Paul D. Chantler, Stephanie J. Frisbee
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
While a thorough understanding of microvascular function in health and how it becomes compromised with progression of disease risk is critical for developing effective therapeutic interventions, our ability to accurately assess the beneficial impact
Externí odkaz:
https://doaj.org/article/43d9f9aafd514e65aed2abfe2f9009b5
Autor:
Nithin J. Menon, Brayden D. Halvorson, Gabrielle H. Alimorad, Jefferson C. Frisbee, Daniel J. Lizotte, Aaron D. Ward, Daniel Goldman, Paul D. Chantler, Stephanie J. Frisbee
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
The study of vascular function across conditions has been an intensive area of investigation for many years. While these efforts have revealed many factors contributing to vascular health, challenges remain for integrating results across research gro
Externí odkaz:
https://doaj.org/article/c8390cbed4d5430bbe5b00939a62ccc2
Autor:
Brent Davis, Dawn Estes McKnight, Daniela Teodorescu, Anabel Quan-Haase, Rumi Chunara, Alona Fyshe, Daniel J. Lizotte
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 4 (2022)
Introduction The COVID-19 pandemic had clear impacts on mental health. Social media presents an opportunity for assessing mental health at the population level. Objectives 1) Identify and describe language used on social media that is associated wi
Externí odkaz:
https://doaj.org/article/ceea33608acd44048647385fb18dc7dd
Publikováno v:
International Journal of Population Data Science, Vol 6, Iss 1 (2021)
Introduction The ability to estimate risk of multimorbidity will provide valuable information to patients and primary care practitioners in their preventative efforts. Current methods for prognostic prediction modelling are insufficient for the estim
Externí odkaz:
https://doaj.org/article/9118e974e06940c8ab1c0509bbc84042
Autor:
Jacqueline K. Kueper, Daniel J. Lizotte, Manuel Montero-Odasso, Mark Speechley, for the Alzheimer’s Disease Neuroimaging Initiative, Antony Bayer
Publikováno v:
PLoS ONE, Vol 15, Iss 9 (2020)
Background There is a need for outcome measures with improved responsiveness to changes in pre-dementia populations. Both cognitive and motor function play important roles in neurodegeneration; motor function decline is detectable at early stages of
Externí odkaz:
https://doaj.org/article/ff31234524914430a15784e892cb6513
Publikováno v:
Data, Vol 6, Iss 8, p 85 (2021)
Multimorbidity is a growing healthcare problem, especially for aging populations. Traditional single disease-centric approaches are not suitable for multimorbidity, and a holistic framework is required for health research and for enhancing patient ca
Externí odkaz:
https://doaj.org/article/7a161eb2befd4cb1b8791f828ab40f5e
Autor:
Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Daniel J. Lizotte, Amit X. Garg, Eric McArthur
Publikováno v:
Informatics, Vol 7, Iss 2, p 18 (2020)
One of the prominent problems in clinical medicine is medication-induced acute kidney injury (AKI). Avoiding this problem can prevent patient harm and reduce healthcare expenditures. Several researches have been conducted to identify AKI-associated m
Externí odkaz:
https://doaj.org/article/6dea985cd2da45379626253802524f96
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 3, p 44 (2019)
Existing keyword-based search techniques suffer from limitations owing to unknown, mismatched, and obscure vocabulary. These challenges are particularly prevalent in social media, where slang, jargon, and memetics are abundant. We develop a new techn
Externí odkaz:
https://doaj.org/article/6efef966b39f4ef3b1a0a305025d0107