Social Media Mining for Postpartum Depression Prediction

被引：8

作者：

Trifan, Alina ^{[1
]}

Semeraro, Dave ^{[2
]}

Drake, Justin ^{[2
]}

Bukowski, Radek ^{[3
]}

Oliveira, Jose Luis ^{[1
]}

机构：

[1] Univ Aveiro, DETI IEETA, Aveiro, Portugal

[2] Univ Texas Austin, Texas Adv Comp Ctr, Austin, TX 78712 USA

[3] Univ Texas Austin, Dell Med Sch, Austin, TX 78712 USA

来源：

DIGITAL PERSONALIZED HEALTH AND MEDICINE | 2020年 / 270卷

关键词：

postpartum depression; social media; machine learning; mental health; women's health; WOMEN;

D O I：

10.3233/SHTI200457

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

This study investigated the feasibility of a postpartum depression predictor based on social media writings. The current broad use of social media networks generates a large amount of digital data, which, when coupled with artificial intelligence methods, have the potential to disclose significant health related insights. In this paper we explore the use of machine learning for prediction of postpartum depression on a corpus created from Reddit posts.

引用

页码：1391 / 1392

页数：2

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