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pro vyhledávání: '"Haq, Hasham Ul"'
Recent research advances achieve human-level accuracy for de-identifying free-text clinical notes on research datasets, but gaps remain in reproducing this in large real-world settings. This paper summarizes lessons learned from building a system use
Externí odkaz:
http://arxiv.org/abs/2312.08495
Being a global pandemic, the COVID-19 outbreak received global media attention. In this study, we analyze news publications from CNN and The Guardian - two of the world's most influential media organizations. The dataset includes more than 36,000 art
Externí odkaz:
http://arxiv.org/abs/2203.10338
Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs. Detecting ADR's as early as possible and sharing them with regulators, pharma companies, and healthcare providers can prevent morbidity and save ma
Externí odkaz:
http://arxiv.org/abs/2201.01405
The surging amount of biomedical literature & digital clinical records presents a growing need for text mining techniques that can not only identify but also semantically relate entities in unstructured data. In this paper we propose a text mining fr
Externí odkaz:
http://arxiv.org/abs/2112.13259
In order to submit a claim to insurance companies, a doctor needs to code a patient encounter with both the diagnosis (ICDs) and procedures performed (CPTs) in an Electronic Health Record (EHR). Identifying and applying relevant procedures code is a
Externí odkaz:
http://arxiv.org/abs/1712.00481
Publikováno v:
In Software Impacts May 2022 12