Neural natural language processing for unstructured data in electronic health records: a review
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
Information extraction from electronic medical documents: state of the art and future research directions
MY Landolsi, L Hlaoua, L Ben Romdhane - Knowledge and Information …, 2023 - Springer
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …
narrative documents, and he is responsible for every decision he takes for patients …
[图书][B] Healthcare data analytics
CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …
Analytics provides an understanding of the analytical techniques currently available to solve …
Current approaches to identify sections within clinical narratives from electronic health records: a systematic review
A Pomares-Quimbaya, M Kreuzthaler… - BMC medical research …, 2019 - Springer
Background The identification of sections in narrative content of Electronic Health Records
(EHR) has demonstrated to improve the performance of clinical extraction tasks; however …
(EHR) has demonstrated to improve the performance of clinical extraction tasks; however …
Task 2: ShARe/CLEF eHealth evaluation lab 2014
This paper reports on Task 2 of the 2014 ShARe/CLEF eHealth evaluation lab which
extended Task 1 of the 2013 ShARe/CLEF eHealth evaluation lab by focusing on template …
extended Task 1 of the 2013 ShARe/CLEF eHealth evaluation lab by focusing on template …
Hybrid method to automatically extract medical document tree structure
MY Landolsi, L Hlaoua, LB Romdhane - Engineering Applications of …, 2023 - Elsevier
A huge and rapidly growing quantity of medical documents is available in an electronic
versions. These informing documents mostly have textual content in natural language …
versions. These informing documents mostly have textual content in natural language …
Automatic classification of mammography reports by BI-RADS breast tissue composition class
Because breast tissue composition partially predicts breast cancer risk, classification of
mammography reports by breast tissue composition is important from both a scientific and …
mammography reports by breast tissue composition is important from both a scientific and …
BI-RADS BERT and using section segmentation to understand radiology reports
Radiology reports are one of the main forms of communication between radiologists and
other clinicians, and contain important information for patient care. In order to use this …
other clinicians, and contain important information for patient care. In order to use this …
Leveraging medical literature for section prediction in electronic health records
Abstract Electronic Health Records (EHRs) contain both structured content and unstructured
(text) content about a patient's medical history. In the unstructured text parts, there are …
(text) content about a patient's medical history. In the unstructured text parts, there are …
[HTML][HTML] Building an automated SOAP classifier for emergency department reports
Information extraction applications that extract structured event and entity information from
unstructured text can leverage knowledge of clinical report structure to improve …
unstructured text can leverage knowledge of clinical report structure to improve …