Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation

Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Sušnjak

Open source

DOI
10.3390/make7020028
Published
2025-03-26
Container
Machine Learning and Knowledge Extraction
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/make7020028,
  title = {Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation},
  author = {Masood Sujau and Masako Wada and Emilie Vallée and Natalie Hillis and Teo Sušnjak},
  year = {2025},
  journal = {Machine Learning and Knowledge Extraction},
  doi = {10.3390/make7020028},
  url = {https://doi.org/10.3390/make7020028}
}

RIS

TY  - JOUR
TI  - Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation
AU  - Masood Sujau
AU  - Masako Wada
AU  - Emilie Vallée
AU  - Natalie Hillis
AU  - Teo Sušnjak
PY  - 2025
JO  - Machine Learning and Knowledge Extraction
DO  - 10.3390/make7020028
UR  - https://doi.org/10.3390/make7020028
ER  - 

APA

Sujau, M., Wada, M., Vallée, E., Hillis, N., & Sušnjak, T. (2025). Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make7020028

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