Using case-level context to classify cancer pathology reports

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

(2020) Jose Roberto Ayala Solares et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Classifying cancer pathology reports with hierarchical self-attention networks

(2019) Shang Gao et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Classifying medical relations in clinical text via convolutional neural networks

(2018) Bin He et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports

(2018) John X. Qiu et al.   IEEE Journal of Biomedical and Health Informatics

Learning from heterogeneous temporal data in electronic health records

(2017) Jing Zhao et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

(2017) Benjamin Shickel et al.   IEEE Journal of Biomedical and Health Informatics

$\mathtt {Deepr}$: A Convolutional Net for Medical Records

(2017) Phuoc Nguyen et al.   IEEE Journal of Biomedical and Health Informatics

Analysis of free text in electronic health records for identification of cancer patient trajectories

(2017) Kasper Jensen et al.   Scientific Reports

Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health

(2015) Guthrie S. Birkhead et al.   Annual Review of Public Health

Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration

(2015) Anima Singh et al.   JOURNAL OF BIOMEDICAL INFORMATICS