Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
With the completion of the Human Genome Project1 as well as recent advances in genomic
science and comparative biological studies, a new era of individualized medicine is evolving …
science and comparative biological studies, a new era of individualized medicine is evolving …
[HTML][HTML] Extraction of temporal relations from clinical free text: A systematic review of current approaches
Background Temporal relations between clinical events play an important role in clinical
assessment and decision making. Extracting such relations from free text data is a …
assessment and decision making. Extracting such relations from free text data is a …
Entity recognition from clinical texts via recurrent neural network
Background Entity recognition is one of the most primary steps for text analysis and has long
attracted considerable attention from researchers. In the clinical domain, various types of …
attracted considerable attention from researchers. In the clinical domain, various types of …
Med7: A transferable clinical natural language processing model for electronic health records
Electronic health record systems are ubiquitous and the majority of patients' data are now
being collected electronically in the form of free text. Deep learning has significantly …
being collected electronically in the form of free text. Deep learning has significantly …
[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 …
[HTML][HTML] Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge …
Background Standards-based clinical data normalization has become a key component of
effective data integration and accurate phenotyping for secondary use of electronic …
effective data integration and accurate phenotyping for secondary use of electronic …
Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention
Background This work deals with Natural Language Processing applied to Electronic Health
Records (EHRs). EHRs are coded following the International Classification of Diseases …
Records (EHRs). EHRs are coded following the International Classification of Diseases …
Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data
Objective To design, develop, and evaluate a scalable clinical data normalization pipeline
for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast …
for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast …
Overview of the 2024 shared task on chemotherapy treatment timeline extraction
J Yao, H Hochheiser, WJ Yoon… - Proceedings of the …, 2024 - aclanthology.org
Abstract The 2024 Shared Task on Chemotherapy Treatment Timeline Extraction aims to
advance the state of the art of clinical event timeline extraction from the Electronic Health …
advance the state of the art of clinical event timeline extraction from the Electronic Health …
Toward a learning health-care system–knowledge delivery at the point of care empowered by big data and NLP
VC Kaggal, RK Elayavilli, S Mehrabi… - Biomedical …, 2016 - journals.sagepub.com
The concept of optimizing health care by understanding and generating knowledge from
previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and …
previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and …