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pro vyhledávání: '"Kline, Adrienne"'
Autor:
Kline, Adrienne
DCZNMaker is a web-based application designed to streamline decision-making processes using Multi-attribute Utility Analysis (MAUA). Built with simplicity and efficiency in mind, DCZNMaker empowers users to make informed decisions among alternatives
Externí odkaz:
http://arxiv.org/abs/2407.04655
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 9, p e20268 (2020)
BackgroundSupervised machine learning (ML) is being featured in the health care literature with study results frequently reported using metrics such as accuracy, sensitivity, specificity, recall, or F1 score. Although each metric provides a different
Externí odkaz:
https://doaj.org/article/6498bff4654c485abb2ce9d355eee785
Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide. While this procedure is performed more than 2 million times annually, there remain few methods for fast and accurate au
Externí odkaz:
http://arxiv.org/abs/2310.15898
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality. The severity of CAD is quantified by the location, degree of narrowing (stenosis), and number
Externí odkaz:
http://arxiv.org/abs/2310.14961
Leveraging medical record information in the era of big data and machine learning comes with the caveat that data must be cleaned and de-identified. Facilitating data sharing and harmonization for multi-center collaborations are particularly difficul
Externí odkaz:
http://arxiv.org/abs/2304.12322
Autor:
Kline, Adrienne, Lee, Joon
Model evaluation is a critical component in supervised machine learning classification analyses. Traditional metrics do not currently incorporate case difficulty. This renders the classification results unbenchmarked for generalization. Item Response
Externí odkaz:
http://arxiv.org/abs/2302.04386
Autor:
Kline, Adrienne, Luo, Yuan
Most datasets suffer from partial or complete missing values, which has downstream limitations on the available models on which to test the data and on any statistical inferences that can be made from the data. Several imputation techniques have been
Externí odkaz:
http://arxiv.org/abs/2302.04165
Autor:
Wang, Hanyin, Hutch, Meghan R., Li, Yikuan, Kline, Adrienne S., Otero, Sebastian, Mithal, Leena B., Miller, Emily S., Naidech, Andrew, Luo, Yuan
Over 12 billion doses of COVID-19 vaccines have been administered at the time of writing. However, public perceptions of vaccines have been complex. We analyzed COVID-19 vaccine-related tweets to understand the evolving perceptions of COVID-19 vaccin
Externí odkaz:
http://arxiv.org/abs/2207.10641
Autor:
Kline, Adrienne, Wang, Hanyin, Li, Yikuan, Dennis, Saya, Hutch, Meghan, Xu, Zhenxing, Wang, Fei, Cheng, Feixiong, Luo, Yuan
As machine learning and artificial intelligence are more frequently being leveraged to tackle problems in the health sector, there has been increased interest in utilizing them in clinical decision-support. This has historically been the case in sing
Externí odkaz:
http://arxiv.org/abs/2204.04777
Autor:
Nedadur, Rashmi, Bhatt, Nitish, Liu, Tom, Chu, Michael W.A., McCarthy, Patrick M., Kline, Adrienne
Publikováno v:
In Canadian Journal of Cardiology October 2024 40(10):1865-1879