BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Clinical coding underpins the integrity of healthcare records, functioning as an essential bridge between patient care, administrative processes and research analytics. Robust coding transforms ...
The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...
A data storage strategy that addresses data sovereignty builds on the classification of data in the data audit to limit what data can go where. As part of the classification process, data will be ...
The healthcare industry is no stranger to technological advancements, and artificial intelligence (AI) is quickly becoming a game-changer in multiple areas. From diagnosing medical conditions to ...
In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...
Novel Gene and Variant Discovery in Human Genetic Disorders: From Coding and Non-Coding RNA variants
Rapid advances in sequencing technologies have transformed our ability to diagnose human genetic disorders, yet many patients still lack a molecular ...
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