arXiv AI By Tanjim Taharat Aurpa

Automated Multilabel Mpox Research Classification with Explainable Transformer Models

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arXiv:2607. 26700v1 Announce Type: cross Abstract: The Mpox outbreak remains a serious public health issue, with the WHO (World Health Organization) reporting increasing cases in some regions.

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arXiv AI
Jun 19

Ensembles of Large Language Models for Identifying EQ-5D Studies in PubMed Based on Their Abstracts

arXiv:2606. 19345v1 Announce Type: cross Abstract: The rapid increase in scientific publications leads to the fact that manual study screening in systematic literature reviews (SLRs) is increasingly resource consuming, inefficient, and inconsistent.

By Zhyar Rzgar K. Rostam, M\'arta P\'entek, J\'anos Tibor Czere, Zsombor Zrubka, L\'aszl\'o Gul\'acsi, G\'abor Kert\'esz
arXiv AI
Jun 8

Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews

arXiv:2603. 22327v2 Announce Type: replace-cross Abstract: Systematic literature reviews (SLRs) are a demanding and high-stakes form of scientific knowledge synthesis that remains underspecified as an evaluation setting for large language models (LLMs).

By Shreyansh Padarha, Ryan Othniel Kearns, Tristan Naidoo, Lingyi Yang, {\L}ukasz Borchmann, Piotr B{\L}aszczyk, Christian Morgenstern, Ruth McCabe, Sangeeta Bhatia, Philip H. Torr, Jakob Foerster, Scott A. Hale, Thomas Rawson, Anne Cori, Elizaveta Semenova, Adam Mahdi
arXiv Machine Learning
Jun 15

Automatic identification of diagnosis from hospital discharge letters via weakly supervised Natural Language Processing

arXiv:2410. 15051v3 Announce Type: replace-cross Abstract: Identifying patient diagnoses from hospital discharge letters is essential for large-scale cohort selection and epidemiological research, but traditional supervised approaches require extensive manual annotation, which is often impractical for large textual datasets.

By Vittorio Torri, Elisa Barbieri, Anna Cantarutti, Carlo Giaquinto, Francesca Ieva