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Notes on predictive modeling
4 notes
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…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
