Mining Electronic Health Records (EHRs): A Survey
A review of the methods and philosophy behind mining electronic health records, including using them for adverse event detection. See Table 2 for a list of relevant papers as of mid-2017.
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EHR DREAM Challenge synapse.org
Held along with several other more bioinformatics-focused challenges, this challenge opened in October 2019 and focuses on using electronic health record data to predict patient mortality. Uses a synthetic data set rather than real EHR contents.
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SemEHR github.com
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Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text ncbi.nlm.nih.gov
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PubMed E-utilities (esearch/efetch) nlm.nih.gov
APIs for searching and retrieving biomedical literature from PubMed.
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Clinical information extraction applications: A literature review sciencedirect.com
A review of clinical IE papers published as of September 2016. From Mayo Clinic group (see below).
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PE-Miner: Mining structural information to detect malicious executables in realtime link.springer.com
(September 2009)
Biomedical Information Extraction › Research Overviews > Pre-LLM Overviews: “A review of the methods and philosophy behind mining electronic health records, including using them for adverse event detection. See Table 2 for a list of relevant papers as of mid-2017.”