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Treatment Recommendations Based on Drug-to-Drug Interactions

机译:基于药物间相互作用的治疗建议

摘要

Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.
机译:提供了认知医学推荐机制。该机制吸收包括药物间相互作用信息的医疗内容集。这些机制基于对与患者相关的电子病历的分析,生成了一组药物相互作用洞察力数据结构和一组针对患者病情的候选治疗方法的初始集。该机制基于一组药物相互作用洞察数据结构在初始候选治疗组中对候选治疗进行排名,以生成最终候选治疗组,其中排名降低了在该组药物中识别出药物相互作用的候选治疗的排名互动洞察数据结构。该机制根据候选治疗的最终集合输出治疗建议。

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