Challenges and opportunities beyond structured data in analysis of electronic health records
… and opportunities in the analysis of EHRs beyond structured data. We focus on studies
that use both structured and unstructured data since the combination is more challenging to …
that use both structured and unstructured data since the combination is more challenging to …
[HTML][HTML] Combining structured and unstructured data for predictive models: a deep learning approach
… The broad adoption of electronic health records (EHRs) … using derived data from the publicly
available Medical Information … by combining unstructured clinical notes with structured data, …
available Medical Information … by combining unstructured clinical notes with structured data, …
… of the first natural language processing challenge for extracting medication, indication, and adverse drug events from electronic health record notes (MADE 1.0)
… ) 1.0 corpus comprises 1089 electronic health records with detailed named entity and … and
patient safety surveillance systems are based on the analyses of the structured data such as …
patient safety surveillance systems are based on the analyses of the structured data such as …
[PDF][PDF] Development of minimum data set for electronic documentation of progress note in the general intensive care unit
E Fallahnejad, F Niknam… - Frontiers in Health …, 2020 - academia.edu
… However, the entry of structured data can support electronic … daily progress note in the
electronic health record in 12 … reporting system for electronic health records in Iran. The results of …
electronic health record in 12 … reporting system for electronic health records in Iran. The results of …
[HTML][HTML] Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
… coding, taking into consideration that most of the EHR data are based on user manual entries
and that there is a high associated chance of data entry mistakes. For the same reason, we …
and that there is a high associated chance of data entry mistakes. For the same reason, we …
[HTML][HTML] Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
… patient data from either structured codes such as ICD-9, or unstructured data like clinical
notes… After some initial embedding techniques to transform patient data into input features, deep …
notes… After some initial embedding techniques to transform patient data into input features, deep …
[HTML][HTML] Patient portals facilitating engagement with inpatient electronic medical records: a systematic review
… with patient engagement, electronic health records, and patient portals and their respective
subject headings in each database. … If health care organizations decide to enforce structured …
subject headings in each database. … If health care organizations decide to enforce structured …
[HTML][HTML] What every reader should know about studies using electronic health record data but may be afraid to ask
, … For Clinical Characterization Of COVID-19 By … - Journal of medical …, 2021 - jmir.org
… structured data without specifying the clinical forms or data models. Mention coded data …
High-throughput phenotyping with electronic medical record data using a common semi-…
High-throughput phenotyping with electronic medical record data using a common semi-…
Blockchain's coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem
… and structured management of data referring to the clinical … managing medical records and
better sharing patient health data … The first is to collect health data; each hashed data entry is …
better sharing patient health data … The first is to collect health data; each hashed data entry is …
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
TA Koleck, C Dreisbach, PE Bourne… - … the American Medical …, 2019 - academic.oup.com
… EHRs are longitudinal collections of electronic information related to the health of or … of
data, structured data (eg, billing diagnoses, medications, laboratory test results) and unstructured …
data, structured data (eg, billing diagnoses, medications, laboratory test results) and unstructured …
相关搜索
- electronic health records systematic review
- electronic health records adverse drug events
- electronic health record notes
- electronic health records deep learning
- structured electronic health records disease prediction
- learning models electronic health records data
- longitudinal electronic medical records
- effects of an electronic medical record
- electronic health records publishing data
- potential of electronic health records
- electronic health records management
- interoperable electronic health records
- analysis of electronic health records
- electronic health record automatic de-identification
- electronic health records predictive healthcare
- electronic health records disease outcomes