The two-step pipeline method we propose is an effective approach to identify NIHSS items, scores and their relations. With its help, clinical investigators ...
A two-step information extraction pipeline method is proposed to identify stroke scale scores from free text of EHRs.
Methods We propose a two-step pipeline method to identify NIHSS items and numerical scores and validate its feasibility using a freely accessible critical care ...
Jun 1, 2023 · The two-step pipeline method we propose is an effective approach to identify NIHSS items, scores and their relations. With its help, clinical ...
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Jan 8, 2020 · Results: Leveraging machine learning we identified the main factors in electronic health record data for assessing stroke severity, including ...
Missing: related quantified
Identifying stroke-related quantified evidence from electronic health ...
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Apr 23, 2023 · Identifying stroke-related quantified evidence from electronic health records in real-world studies · Artificial Intelligence in Medicine ( IF ...
Mar 8, 2021 · Our research objective is to develop and validate a machine learning–based phenotyping algorithm to identify incident stroke and detailed stroke ...
Missing: quantified | Show results with:quantified
Jan 8, 2020 · Applying this machine learning method to assess patient's stroke severity in real-world databases where NIHSS scores are not available enables ...
Mar 11, 2024 · Identifying stroke-related quantified evidence from electronic health records in real-world studies. Artif Intell Med. 2023. Jun;140:102552 ...
Conclusions: EHR data can be used to construct a surrogate measure of initial stroke severity. Further research is needed to better differentiate moderate and ...