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JMIR Nursing|February 4, 2026
Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation StudyBridget Nicholson, Elizabeth A Sloss, Aref Smiley, et al.
Studies in Health Technology and Informatics|April 9, 2025
Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling ApproachJoseph Finkelstein, Aref Smiley, Christina Echeverria, et al.
Diagnostics (Basel, Switzerland)|May 1, 2025
Deep Learning Approaches to Forecast Physical and Mental Deterioration During Chemotherapy in Patients with CancerJoseph Finkelstein, Aref Smiley, Christina Echeverria, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Predicting Chemotherapy-Related Symptom Deterioration Using Hybrid Deep Learning ArchitectureJoseph Finkelstein, Aref Smiley, Christina Echeverria, et al.
Bioengineering (Basel, Switzerland)|November 27, 2024
AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy ManagementJoseph Finkelstein, Aref Smiley, Christina Echeverria, et al.
Diagnostics (Basel, Switzerland)|January 11, 2025
Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling ExerciseAref Smiley, Joseph Finkelstein
JMIR Biomedical Engineering|December 10, 2024
Home Automated Telemanagement System for Individualized Exercise Programs: Design and Usability EvaluationAref Smiley, Joseph Finkelstein
Studies in Health Technology and Informatics|July 1, 2025
Smart Wearable Analytics for Cycling: AI-Based Physical Exertion PredictionAref Smiley, Joseph Finkelstein
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 3, 2024
Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological DataAref Smiley, Joseph Finkelstein
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