predictive modeling
4 notes, newest first.
An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction
The study presents a three-stage approach for combining digital data collection, predictive modeling, and weather-sensitive demand forecasting. It uses a chatbot to collect travel mode choices from student commuters…
QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction
Researchers introduce QuanTiMedAI, a framework for predicting cardiac arrest mortality using a combination of an agentic large language model (LLM) and a quantum recurrent network. The LLM is used for feature…
QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction
Researchers have developed a new framework called QuanTiMedAI for predicting mortality in cardiac arrest patients in intensive care units (ICUs). The framework uses agentic AI and quantum enhancement to analyze…
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
Researchers developed QoR-compact, a shorter version of the Quality of Recovery (QoR) survey, to be used for daily remote patient monitoring. The new version consists of five questions and was found to predict…
