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Research Institute for Endocrine Sciences

Iran

3 papers here8 citations across 3
fields
  • cs.CL1
  • cs.LG1
  • eess.IV1
ROR 01kpm1136OpenAlex

affiliations via OpenAlex

most citedLarge Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data

3 citations

researchers with a paper here
  • A. Soroush3 · h 11
  • G. Nadkarni3 · h 4
  • Seyed Amir Ahmad Safavi-Naini3 · h 11
  • Ameneh Salehi2 · h 1
  • Jamil S. Samaan2 · h 3
  • Mohammad Amin Khalafi2 · h 2
  • Nariman Naderi2 · h 2
  • Thomas Savage2 · h 4
  • Zahra Atf2 · h 4
  • Alireza Soheilipour1 · h 2
  • Ali Soroush1
  • Amirali Mohsenzadeh-Kermani1 · h 1
collaborating institutions
  • Icahn School of Medicine at Mount SinaiUS3 papers
  • Shahid Beheshti University of Medical SciencesIR3 papers
  • Cedars-Sinai Medical CenterUS2 papers
  • Child Health and Development InstituteUS2 papers
  • Ontario Tech UniversityCA2 papers
  • Columbia UniversityUS1 paper
  • Hospital of the University of PennsylvaniaUS1 paper
  • Imam Hossein HospitalIR1 paper
  • Iranshahr UniversityIR1 paper
  • Isfahan University of Medical SciencesIR1 paper
  • Johns Hopkins UniversityUS1 paper
  • Milad HospitalIR1 paper
Showing cs.LGShow all

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cs.LG2024★ 3 cited

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data

Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri +39

This study compared the performance of classical feature-based machine learning models (CMLs) and large language models (LLMs) in predicting COVID-19 mortality using high-dimension…

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