POSTER SESSION B-01: Artificial Intelligence and Machine Learning Methods
Tracks
POSTER AREA (M1 building upper floor)
| Wednesday, July 24, 2024 |
| 9:00 AM - 5:00 PM |
| POSTER AREA (M1 building upper floor) |
Presentations
Ms. Bushra Alrashdi
Univeristy of Liverpool, United Kingdom
P-B01-01 | Epilepsy survival analysis: The integration of machine learning with genetic data from the SANADII Dataset
Dr. Vasiliki Bountziouka
University of the Aegean, Lemnos, Greece
P-B01-02 | Comparative analysis of ChatGPT and human performance in post classification and sentiment analysis
Dr. Emanuele Koumantakis
University of Turin, Italy
P-B01-03 | Embedding models for multimorbidity detection: A deep learning framework using healthcare administrative databases
Dr. Oluwole Nuga
Senior Lecturer
Bells University of Technology
P-B01-04 | A machine learning model for malaria prediction in an endemic area of Nigeria
Dr. Sotirios Roussos
National and Kapodistrian University of Athens Medical School, Greece
P-B01-05 | Machine learning for HIV prediction in people who inject drugs: Addressing challenges of imbalanced data
Dr. Asuka Suzuki
Teikyo University, Tokyo, Japan
P-B01-06 | A novel simple method for evaluating the contribution of explanatory variables in deep learning: an application to pathogenicity prediction results for breast cancer-related variants of unknown significance
Mr. Nabil Ahmed Uthso
Research Assistant
University of Dhaka, Bangladesh
P-B01-07 - CASc winner | Machine learning methods in dynamic survival prediction under standard and mixed-model landmarking framework
Dr. Mi Hong Yim
Senior Researcher
Korea Institute of Oriental Medicine
P-B01-08 | Comparison of machine learning models for classification of diabetes mellitus using body composition indicators in men
Prof. Elina Hypponen
Director: Australian Centre For Precision Health
University of South Australia, Adelaide, Australia
P-B01-09 LB | LLPowershap: Logistic loss-based automated Shapley values feature selection method
