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TMU Participation in TREC Clinical Trials Track 2023

Core Concepts
Toronto Metropolitan University's approach to TREC Clinical Trials Track 2023.
Directory: Abstract and Introduction Utilization of advanced natural language processing techniques and neural language models for clinical trials retrieval. Shift from traditional recruitment methods to questionnaire-based identification of suitable clinical trials. Methodology Data preparation involving XML parsing and feature extraction. Information retrieval and document ranking using Sentence Transformer and Doc2Vec models. Results and Evaluation Submission of four runs with varying models, highlighting the performance of Sentence Transformer model. Conclusion and References Key Highlights: Transition to questionnaire-based clinical trial identification. Use of PubMed Parser for data extraction. Application of neural language models for trial retrieval. Comparison between Sentence Transformer and Doc2Vec models. Performance evaluation based on NDCG scores.
試験応募の結果、4つのランが提出されました。 表1は、提出されたランのNDCGスコアを示しています。 表2は、提出されたランの評価結果を示しています。

Key Insights Distilled From

by Aritra Kumar... at 03-20-2024
TMU at TREC Clinical Trials Track 2023

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