Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning-Reference-Cited by-同舟云学术

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning

Published:2019-06-01 Issue:6 Volume:179 Page:836
ISSN:2168-6106
Container-title:JAMA Internal Medicine
language:en
Short-container-title:JAMA Intern Med

Author:

Rajkomar Alvin¹,Kannan Anjuli¹,Chen Kai¹,Vardoulakis Laura¹,Chou Katherine¹,Cui Claire¹,Dean Jeffrey¹

Affiliation:

1. Google LLC, Mountain View, California

Publisher

American Medical Association (AMA)

Subject

Internal Medicine

Link

http:///jamainternalmedicine/article-pdf/179/6/836/17634634/jamainternal_rajkomar_2019_ld_180081.pdf

Reference5 articles.

1. What this computer needs is a physician: humanism and artificial intelligence.;Verghese;JAMA,2018

2. ChiuC-C, TripathiA, ChouK, . Speech Recognition for Medical Conversations. In: Interspeech 2018. ISCA: ISCA; 2018. https://www.isca-speech.org/archive/Interspeech_2018/abstracts/0040.html. Accessed December 8, 2018.

3. SutskeverI, VinyalsO, LeQV. Sequence to Sequence Learning with Neural Networks. In: GhahramaniZ, WellingM, CortesC, LawrenceND, WeinbergerKQ, eds. Advances in Neural Information Processing Systems. vol 27. 2014.http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf. Accessed December 8, 2018.

4. KannanA, ChenK, JaunzeikareD, RajkomarA. Semi-supervised Learning for Information Extraction from Dialogue. In: Interspeech 2018. ISCA: ISCA; 2018. https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1318.html. Accessed December 8, 2018.

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