Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-related Social Media Data

摘要

Introduction“Social big data” from technologies like social media, wearable devices, and online searches continue to grow and can be used as tools for HIV research. Although researchers can uncover patterns and insights associated with HIV trends and transmission, the review process is time-consuming and resource intensive. Machine learning methods derived from computer science might be used to assist HIV domain experts by learning how to rapidly and accurately identify patterns associated with HIV from a large set of social data.