Electronic health records-driven phenotyping: challenges, recent advances, and perspectives

J Pathak, AN Kho, JC Denny - Journal of the American Medical …, 2013 - academic.oup.com
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 …

[HTML][HTML] Extraction of temporal relations from clinical free text: A systematic review of current approaches

G Alfattni, N Peek, G Nenadic - Journal of biomedical informatics, 2020 - Elsevier
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 …

Entity recognition from clinical texts via recurrent neural network

Z Liu, M Yang, X Wang, Q Chen, B Tang… - BMC medical informatics …, 2017 - Springer
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 …

Med7: A transferable clinical natural language processing model for electronic health records

A Kormilitzin, N Vaci, Q Liu… - Artificial Intelligence in …, 2021 - Elsevier
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 …

[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 …

[HTML][HTML] Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge …

N Hong, A Wen, DJ Stone, S Tsuji, PR Kingsbury… - Journal of biomedical …, 2019 - Elsevier
Background Standards-based clinical data normalization has become a key component of
effective data integration and accurate phenotyping for secondary use of electronic …

Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention

O Trigueros, A Blanco, N Lebena, A Casillas… - International journal of …, 2022 - Elsevier
Background This work deals with Natural Language Processing applied to Electronic Health
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

N Hong, A Wen, F Shen, S Sohn, C Wang, H Liu… - JAMIA …, 2019 - academic.oup.com
Objective To design, develop, and evaluate a scalable clinical data normalization pipeline
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 …

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 …