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 …

“Big data” and the electronic health record

MK Ross, W Wei… - Yearbook of medical …, 2014 - thieme-connect.com
Objectives: Implementation of Electronic Health Record (EHR) systems continues to expand.
The massive number of patient encounters results in high amounts of stored data …

[HTML][HTML] NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Y Peng, X Wang, L Lu, M Bagheri… - AMIA Summits on …, 2018 - ncbi.nlm.nih.gov
Negative and uncertain medical findings are frequent in radiology reports, but discriminating
them from positive findings remains challenging for information extraction. Here, we propose …

[PDF][PDF] 电子病历命名实体识别和实体关系抽取研究综述

杨锦锋, 于秋滨, 关毅, 蒋志鹏 - 自动化学报, 2014 - researchgate.net
摘要电子病历(Electronic medical records, EMR) 产生于临床治疗过程, 其中命名实体和实体
关系反映了患者健康状况, 包含了大量与患者健康状况密切相关的医疗知识 …

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

RJ Byrd, SR Steinhubl, J Sun, S Ebadollahi… - International journal of …, 2014 - Elsevier
Abstract Objective Early detection of Heart Failure (HF) could mitigate the enormous
individual and societal burden from this disease. Clinical detection is based, in part, on …

Representing scientific knowledge

C Chen, M Song - Representing Scientific Knowledge, 2017 - Springer
The 2014 Ebola outbreak in West Africa raised many urgent concerns about public health
and safety, as well as legal and administrative implications. The high mortality rate of the …

Negation's not solved: generalizability versus optimizability in clinical natural language processing

S Wu, T Miller, J Masanz, M Coarr, S Halgrim… - PloS one, 2014 - journals.plos.org
A review of published work in clinical natural language processing (NLP) may suggest that
the negation detection task has been “solved.” This work proposes that an optimizable …

Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium

J Pathak, KR Bailey, CE Beebe… - Journal of the …, 2013 - academic.oup.com
Research objective To develop scalable informatics infrastructure for normalization of both
structured and unstructured electronic health record (EHR) data into a unified, concept …

[HTML][HTML] Clinical decision support and natural language processing in medicine: Systematic literature review

H Eguia, CL Sánchez-Bocanegra, F Vinciarelli… - Journal of Medical …, 2024 - jmir.org
Background Ensuring access to accurate and verified information is essential for effective
patient treatment and diagnosis. Although health workers rely on the internet for clinical …

[HTML][HTML] A hybrid model for automatic identification of risk factors for heart disease

H Yang, JM Garibaldi - Journal of biomedical informatics, 2015 - Elsevier
Coronary artery disease (CAD) is the leading cause of death in both the UK and worldwide.
The detection of related risk factors and tracking their progress over time is of great …