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Found 6 papers, 2 papers with code
CIRO: COVID-19 infection risk ontology
This ontology expresses infection risks of COVID-19 formulated by the Japanese government, toward automated assessment of infection risks of individuals, using Resource Description Framework (RDF) and SPARQL (SPARQL Protocol and RDF Query Language) queries.
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?
During the patient's hospitalization, the physician must record daily observations of the patient and summarize them into a brief document called "discharge summary" when the patient is discharged.
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan
We first defined three types of summarization units with different granularities to compare the performance of the discharge summary generation: whole sentences, clinical segments, and clauses.
Tracing patients' PLOD with mobile phones: Mitigation of epidemic risks through patients' locational open data
In the cases when public health authorities confirm a patient with highly contagious disease, they release the summaries about patient locations and travel information.
De-identifying Free Text of Japanese Dummy Electronic Health Records
Our result shows that our LSTM-based method is better and robust, which leads to our future work that plans to apply our system to actual de-identification tasks in hospitals.
