Wearable

2.Explainable AI in biological age estimation
Applying SHAP (SHapley Additive exPlanations) method to identify factors influencing biological age using wearable data
May 3, 2024
2.Explainable AI in biological age estimation
3.Digital phenotyping to demonstrate the impact of circadian aging using wearable data
Enhancing digital phenotyping through the application of AI/ML and statistical models to demonstrate using wearable, time-series data
May 3, 2024
3.Digital phenotyping to demonstrate the impact of circadian aging using wearable data
4.Model-driven and data-driven disease classification
Using AI/ML (CNN, LSTM, RF, DT, etc.) and statistical models (cosinor, SSA) to longitudinal, time-series physical activity data to classify different diseases
May 3, 2024
4.Model-driven and data-driven disease classification