Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study
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DOI: 10.3390/ijerph192215295
Abstract: Background: The possible benefits of using semantic language models in the early diagnosis of major ischemic stroke (MIS) based on artificial intelligence (AI) are still underestimated. The present study strives to assay the feasibility of… read more here.
Keywords: word embedding; word2vec word; diagnosis major; major ischemic ... See more keywords