Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Hoffman, Kentaro"'
Autor:
Salerno, Stephen, Miao, Jiacheng, Afiaz, Awan, Hoffman, Kentaro, Neufeld, Anna, Lu, Qiongshi, McCormick, Tyler H., Leek, Jeffrey T.
Summary: ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has been imputed by an artificial intelligence or machine learning (AI/ML)
Externí odkaz:
http://arxiv.org/abs/2410.09665
Large-scale prediction models (typically using tools from artificial intelligence, AI, or machine learning, ML) are increasingly ubiquitous across a variety of industries and scientific domains. Such methods are often paired with detailed data from s
Externí odkaz:
http://arxiv.org/abs/2405.13926
Autor:
Fan, Shuxian, Visokay, Adam, Hoffman, Kentaro, Salerno, Stephen, Liu, Li, Leek, Jeffrey T., McCormick, Tyler H.
In settings where most deaths occur outside the healthcare system, verbal autopsies (VAs) are a common tool to monitor trends in causes of death (COD). VAs are interviews with a surviving caregiver or relative that are used to predict the decedent's
Externí odkaz:
http://arxiv.org/abs/2404.02438
In this paper, we demonstrate that a new measure of evidence we developed called the Dempster-Shafer p-value which allow for insights and interpretations which retain most of the structure of the p-value while covering for some of the disadvantages t
Externí odkaz:
http://arxiv.org/abs/2402.17070
As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e.g. rising costs, declining survey response rates), researchers increasingly use predictions from pre-trained algorit
Externí odkaz:
http://arxiv.org/abs/2401.08702
Autor:
Parikh, Harsh, Hoffman, Kentaro, Sun, Haoqi, Ge, Wendong, Jing, Jin, Amerineni, Rajesh, Liu, Lin, Sun, Jimeng, Zafar, Sahar, Struck, Aaron, Volfovsky, Alexander, Rudin, Cynthia, Westover, M. Brandon
Epileptiform activity (EA) is associated with worse outcomes including increased risk of disability and death. However, the effect of EA on the neurologic outcome is confounded by the feedback between treatment with anti-seizure medications (ASM) and
Externí odkaz:
http://arxiv.org/abs/2203.04920
In this comment we discuss relative strengths and weaknesses of simplex and Dirichlet Dempster-Shafer inference as applied to multi-resolution tests of independence.
Externí odkaz:
http://arxiv.org/abs/2105.02952
The Ensemble Empirical Mode Decomposition (EEMD) has become a preferred technique to decompose nonlinear and non-stationary signals due to its ability to create time-varying basis functions. However, current EEMD signal cleaning techniques are unable
Externí odkaz:
http://arxiv.org/abs/2103.01352
Autor:
Parikh, Harsh *, Hoffman, Kentaro *, Sun, Haoqi *, Zafar, Sahar F *, Ge, Wendong, Jing, Jin, Liu, Lin, Sun, Jimeng, Struck, Aaron, Volfovsky, Alexander †, Rudin, Cynthia †, Westover, M Brandon †, *
Publikováno v:
In The Lancet Digital Health August 2023 5(8):e495-e502
Mammalian hippocampus plays a key role in spatial learning and memory, but the exact nature of the hippocampal representation of space is still being explored. Recently, there has been a fair amount of success in modeling hippocampal spatial maps in
Externí odkaz:
http://arxiv.org/abs/1601.04253