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Showing 1 to 3 of 3 for “"Patient Health Records"”.
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Blockchain Framework for Secured On-Demand Patient Health Records Sharing
<p>As the healthcare industry continues to digitize and share patient data for a better understanding of patient health history, cybersecurity must remain a top priority. However, patient health record (PHR) data is extremely sensitive and faces significant challenges due to its distributed nature …
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Applying Language Models To Patient Health Records: Acronym Expansion, Long Document Classification and Explainable Predictions
The health industry is experiencing a digital transformation, with Electronic Health Records (EHRs) becoming central repositories for an ever-growing volume of patient data. While EHR clinical notes offer rich, detailed insights into patient conditions, treatments and outcomes, extracting …
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Robust foundation model for healthcare
Clinical data are routinely collected during patient visits, encompassing demographics, diagnoses, laboratory test results, medication prescriptions, medical images, and clinical notes. While there is growing interest in applying deep learning techniques to clinical predictive modeling, developing …