Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing

arXiv:2403.00821v1 Announce Type: cross
Abstract: Breast cancer is a significant public health concern and is the leading cause of cancer-related deaths among women. Despite advances in breast cancer treatments, medication non-adherence remains a major problem. As electronic health records do not typically capture patient-reported outcomes that may reveal information about medication-related experiences, social media presents an attractive resource for enhancing our understanding of the patients' treatment experiences. In this paper, we developed natural language processing (NLP) based methodologies to study …

abstract advances arxiv cancer cs.cl cs.lg cs.si data effects electronic electronic health records health language language processing major media natural natural language natural language processing processing public public health records sensor social social media twitter type women