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Updated: Jan 9, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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大型语言模型中的社会人口学偏见临床试验查

Shelly Soffer1,2, Mahmud Omar3,4, Orly Efros2,5

  • 1Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center; Petah Tikva, Israel.

medRxiv : the preprint server for health sciences
|December 3, 2025
PubMed
概括

大型语言模型 (LLM) 在随机临床试验查中显示最小的偏差,当标准是固定的. 然而,在评估无家可归等因素时,它们反映了社会不平等,影响了坚持和资源判断.

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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment06:48

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