Top newsAIBE Researchers Uncover Pregnancy Symptom Insights Through Keleya App Data!
Under the coordination of Prof. Dr. Björn Eskofier from the Machine Learning and Data Analytics Lab at AIBE, alongside Prof. Dr. Matthias W. Beckmann and Prof. Dr. Peter A. Fasching, the SMART Start Project has revealed crucial insights into pregnancy symptoms using data from the Keleya app. Analyzing over 183,000 users and 1.5 million symptoms, […]Under the coordination of Prof. Dr. Björn Eskofier from the Machine Learning and Data Analytics Lab at AIBE, alongside Prof. Dr. Matthias W. Beckmann and Prof. Dr. Peter A. Fasching, the SMART Start Project has revealed crucial insights into pregnancy symptoms using data from the Keleya app. Analyzing over 183,000 users and 1.5 million symptoms, […]
