Authors:
Reem Osama, Ghada Elkhayat, Abeer A. Amer
Addresses:
Department of Information Systems and Computers, Faculty of Business, Alexandria University, Alexandria, Alexandria Governorate, Egypt. Department of Computer Science and Information Systems, Faculty of Management Science, Sadat Academy for Management and Sciences, Cairo, Cairo Governorate, Egypt.
Abstract:
This research paper highlights the transformative role of Big Data Analytics (BDA) in enhancing women's health, with a particular focus on Postpartum Depression (PPD). Focusing on the field of FemTech—an abbreviation for Female Technology—this study emphasises technology's potential to address women's specific healthcare needs. The global FemTech market, anticipated to reach its peak in 2024, encompasses applications, devices, wearables, and diagnostics tailored to women's health. This research emphasises the importance of leveraging big data derived from sources such as FemTech and the Internet of Things (IoT) to predict and manage health conditions, such as PPD. It introduces a novel framework integrating data from FemTech apps, smartwatches, and Electronic Medical Records (EMRs) to identify women at risk of PPD with unprecedented accuracy and efficiency. The paper argues that this predictive capacity could dramatically alter healthcare delivery for women, ensuring more personalised and proactive care. By harnessing advanced machine learning models, the research aims to revolutionise the early detection of PPD, ultimately enhancing the wellbeing of mothers and families worldwide. It advocates interdisciplinary collaboration to explore further the intersections of technology, healthcare, and big data analytics.
Keywords: Big Data Analytics; Women’s Health; Femtech and Healthcare; Postpartum Depression; Internet of Things; Electronic Medical Records; Bank for International Settlements; Intersections of Technology.
Received: 09/11/2024, Revised: 26/02/2025, Accepted: 19/05/2025, Published: 07/09/2025
DOI: 10.64091/ATIHL.2025.000175
AVE Trends in Intelligent Health Letters, 2025 Vol. 2 No. 3 , Pages: 178-186