Zobrazeno 1 - 10
of 3 511
pro vyhledávání: '"KING, CHRISTOPHER"'
Autor:
Owoyemi, Praise, Salcone, Sarah, King, Christopher, Kim, Heejung Julie, Ressler, Kerry James, Vahia, Ipsit Vihang
Publikováno v:
JMIR Mental Health, Vol 8, Iss 4, p e25050 (2021)
BackgroundThe review of collateral information is an essential component of patient care. Although this is standard practice, minimal research has been done to quantify collateral information collection and to understand how collateral information tr
Externí odkaz:
https://doaj.org/article/a68a1985a64c4125bcc69d1ec5132629
Autor:
Logan, Deirdre E, Simons, Laura E, Caruso, Thomas J, Gold, Jeffrey I, Greenleaf, Walter, Griffin, Anya, King, Christopher D, Menendez, Maria, Olbrecht, Vanessa A, Rodriguez, Samuel, Silvia, Megan, Stinson, Jennifer N, Wang, Ellen, Williams, Sara E, Wilson, Luke
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 4, p e25916 (2021)
BackgroundVirtual reality (VR) and augmented reality (AR) interventions are emerging as promising tools in the treatment of pediatric chronic pain conditions. However, in this young field, there is little consensus to guide the process of engaging in
Externí odkaz:
https://doaj.org/article/9c89f6b2e8ec463fb1cc209c0966e091
Autor:
Feng, Jiewei, King, Christopher
Blockchain and other decentralized databases, known as distributed ledgers, are designed to store information online where all trusted network members can update the data with transparency. The dynamics of ledger's development can be mathematically r
Externí odkaz:
http://arxiv.org/abs/2311.03475
Blockchain and other decentralized databases, known as distributed ledgers, are designed to store information online where all trusted network members can update the data with transparency. The dynamics of ledger's development can be mathematically r
Externí odkaz:
http://arxiv.org/abs/2309.07774
Autor:
Liu, Hao, Zhang, Muhan, Dong, Zehao, Kong, Lecheng, Chen, Yixin, Fritz, Bradley, Tao, Dacheng, King, Christopher
Rich Electronic Health Records (EHR), have created opportunities to improve clinical processes using machine learning methods. Prediction of the same patient events at different time horizons can have very different applications and interpretations;
Externí odkaz:
http://arxiv.org/abs/2303.02570
Learning to represent free text is a core task in many clinical machine learning (ML) applications, as clinical text contains observations and plans not otherwise available for inference. State-of-the-art methods use large language models developed w
Externí odkaz:
http://arxiv.org/abs/2301.11608
Although prediction models for delirium, a commonly occurring condition during general hospitalization or post-surgery, have not gained huge popularity, their algorithmic bias evaluation is crucial due to the existing association between social deter
Externí odkaz:
http://arxiv.org/abs/2211.04442
Autor:
Li, Dingwen, Xue, Bing, King, Christopher, Fritz, Bradley, Avidan, Michael, Abraham, Joanna, Lu, Chenyang
Major postoperative complications are devastating to surgical patients. Some of these complications are potentially preventable via early predictions based on intraoperative data. However, intraoperative data comprise long and fine-grained multivaria
Externí odkaz:
http://arxiv.org/abs/2210.04417
Autor:
Tripathi, Sandhya, Fritz, Bradley A., Abdelhack, Mohamed, Avidan, Michael S., Chen, Yixin, King, Christopher R.
An applied problem facing all areas of data science is harmonizing data sources. Joining data from multiple origins with unmapped and only partially overlapping features is a prerequisite to developing and testing robust, generalizable algorithms, es
Externí odkaz:
http://arxiv.org/abs/2207.03536