本文選題：語音特征 + 語音識(shí)別領(lǐng)域��； 參考：《中國(guó)醫(yī)學(xué)計(jì)算機(jī)成像雜志》2017年02期

【摘要】：正近兩年來,深度學(xué)習(xí)在醫(yī)療領(lǐng)域都有超乎想象的突破。在語音識(shí)別領(lǐng)域,梅奧診所與以色列語音分析公司Beyond Verbal合作的研究發(fā)現(xiàn)13個(gè)語音特征和冠心病存在相關(guān)性,其中一個(gè)語音特征與冠心病存在強(qiáng)相關(guān)。在自然語言處理領(lǐng)域,IBM的沃森機(jī)器人能夠在17秒內(nèi)閱讀3469本醫(yī)學(xué)專著,248000篇論文,69種治療方案,61540次實(shí)驗(yàn)數(shù)據(jù),106000份臨床報(bào)告,并根據(jù)醫(yī)生輸入的病人指標(biāo)信息,最終提出優(yōu)選的個(gè)性化治療方案。
[Abstract]:In the past two years, deep learning in the medical field has more than imaginable breakthroughs. In the field of speech recognition, a study by Mayo Clinic and Beyond Verbal, an Israeli voice analysis company, found that 13 speech features were associated with coronary heart disease, one of which was strongly correlated with coronary heart disease. In the field of natural language processing, IBM's Watson robot is able to read 3469 medical monographs in 17 seconds, including 248,000 papers, 69 treatments, and 106, 000 clinical reports based on patient indicators entered by doctors. Finally, an excellent individualized treatment scheme is put forward.
【分類號(hào)】：R445
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本文編號(hào)：1932163