Journal Article

Editorial: Unleashing the power of large data: models to improve individual health outcomes

Jeong, Hyewon, Yu, Sherry H., Kanjilal, Sanjat, Kothakonda, Akshay

2025

Overview

Sources of healthcare big data that provides clinical intuition are not only limited to in-hospital data, but extend to more non-traditional sources such as social media platforms such as X/Twitter, or clinic attendance data.Tumaliuan et al.developed a two-stage depression symptom detection model using multi-lingual data from social media (X/Twitter), demonstrating how digital traces of language and behavior can indicate mental health status. Building explanations or white-box ML techniques are crucial across all medical domains, where trust and verification of automated findings are required before they inform patient care.Yamga et al.applied unsupervised learning to multimodal COVID-19 data to identify patient phenotypes stratified by risk profile, demonstrating the potential to support targeted management early in a patient's hospital admission. Social media analysis can identify mental health risks (Tumaliuan et al.), while phenotype clustering helps tailor treatments (Yamga et al.).

• Publisher: Frontiers Media SA,Frontiers Media S.A
• Subject: Big Data / biomedical signal / Conflicts of interest / Digital Health / digital health data / Editing / electronic health record - (EHR) / Electronic health records / Emergency medical care / Generative artificial intelligence / Machine learning / Mental health / personalized medicine / Social networks / Telemedicine / Vital signs / Writing