计算机科学
深度学习
医学知识
多媒体
医学教育
人工智能
医学
作者
Liu Xiao,Bin Zhang,Anjana Susarla,Rema Padman
出处
期刊:Cornell University - arXiv
日期:2018-01-01
被引量:5
标识
DOI:10.48550/arxiv.1807.03179
摘要
YouTube presents an unprecedented opportunity to explore how machine learning methods can improve healthcare information dissemination. We propose an interdisciplinary lens that synthesizes machine learning methods with healthcare informatics themes to address the critical issue of developing a scalable algorithmic solution to evaluate videos from a health literacy and patient education perspective. We develop a deep learning method to understand the level of medical knowledge encoded in YouTube videos. Preliminary results suggest that we can extract medical knowledge from YouTube videos and classify videos according to the embedded knowledge with satisfying performance. Deep learning methods show great promise in knowledge extraction, natural language understanding, and image classification, especially in an era of patient-centric care and precision medicine.
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