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Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification
Feb. 20, 2024, 5:42 a.m. | Pei-Hung Chung, Shuhan He, Norawit Kijpaisalratana, Abdel-badih el Ariss, Byung-Jun Yoon
cs.LG updates on arXiv.org arxiv.org
Abstract: A Clinical Decision Support System (CDSS) is designed to enhance clinician decision-making by combining system-generated recommendations with medical expertise. Given the high costs, intensive labor, and time-sensitive nature of medical treatments, there is a pressing need for efficient decision support, especially in complex emergency scenarios. In these scenarios, where information can be limited, an advanced CDSS framework that leverages AI (artificial intelligence) models to effectively reduce diagnostic uncertainty has utility. Such an AI-enabled CDSS framework …
abstract arxiv clinical costs cs.ai cs.cl cs.lg decision decision support diagnosis expertise generated labor machine machine translation making medical nature neural machine translation quantification recommendations support translation type uncertainty
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