This data package contains the New York State level information on discharge details on patient characteristics, diagn..
~$5,000/yr est.
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Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$5,000/yr est.
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Predicting Inpatient Discharge Prioritization With Electronic ...
by A Avati · 2018 · Cited by 6 — We fit models to predict 24 hour discharge across the entire inpatient population. The best performing models achieved an area under the ...
A dataset and benchmark for hospital course ...
We utilize a raw clinical data source [albers2020assimilation] called MIMIC-IV-Note [johnson2023mimic] , a compilation of 331,794 de-identified discharge ...
A Dataset and Benchmark for Hospital Course Summarization ...
The discharge summary (clinical note) is a key document clinicians refer to in important scenarios, including when a discharged patient presents to the clinic ...
Expected fields and columns in this data product
Hospital Compare Inpatient Discharges is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $5,000/yr (an estimate, not a vendor-published price).
This data package contains the New York State level information on discharge details on patient characteristics, diagn..
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...