A systematic review of automatic text summarization for biomedical literature and EHRs
Objective Biomedical text summarization helps biomedical information seekers avoid
information overload by reducing the length of a document while preserving the contents' …
information overload by reducing the length of a document while preserving the contents' …
Attention-based clinical note summarization
In recent years, the trend of deploying digital systems in numerous industries has hiked. The
health sector has observed an extensive adoption of digital systems and services that …
health sector has observed an extensive adoption of digital systems and services that …
sureLDA: A multidisease automated phenotyping method for the electronic health record
Objective A major bottleneck hindering utilization of electronic health record data for
translational research is the lack of precise phenotype labels. Chart review as well as rule …
translational research is the lack of precise phenotype labels. Chart review as well as rule …
Neural Summarization of Electronic Health Records
Hospital discharge documentation is among the most essential, yet time-consuming
documents written by medical practitioners. The objective of this study was to automatically …
documents written by medical practitioners. The objective of this study was to automatically …
A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record
While there exist numerous methods to identify binary phenotypes (ie COPD) using
electronic health record (EHR) data, few exist to ascertain the timings of phenotype events …
electronic health record (EHR) data, few exist to ascertain the timings of phenotype events …
Extractive summarization of ehr discharge notes
E Alsentzer, A Kim - arXiv preprint arXiv:1810.12085, 2018 - arxiv.org
Patient summarization is essential for clinicians to provide coordinated care and practice
effective communication. Automated summarization has the potential to save time …
effective communication. Automated summarization has the potential to save time …
[HTML][HTML] A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation
Objective: Computing phenotypes that provide high-fidelity, time-dependent
characterizations and yield personalized interpretations is challenging, especially given the …
characterizations and yield personalized interpretations is challenging, especially given the …
Samgep: A novel method for prediction of phenotype event times using the electronic health record
Objective While there exist numerous methods to predict binary phenotypes using electronic
health record (EHR) data, few exist for prediction of phenotype event times, or equivalently …
health record (EHR) data, few exist for prediction of phenotype event times, or equivalently …
A hybrid deep learning approach for phenotype prediction from clinical notes
Identifying patient cohorts from clinical notes in secondary use of electronic health records is
a fundamental task in clinical information management. The patient cohort identification …
a fundamental task in clinical information management. The patient cohort identification …
Machine Learning for Diabetes and Mortality Risk Prediction From Electronic Health Records
Z ALHASSAN, H NASSER - 2021 - etheses.dur.ac.uk
Data science can provide invaluable tools to better exploit healthcare data to improve
patient outcomes and increase cost-effectiveness. Today, electronic health records (EHR) …
patient outcomes and increase cost-effectiveness. Today, electronic health records (EHR) …