Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests

Autor: van Duijn, Max J., van Dijk, Bram M. A., Kouwenhoven, Tom, de Valk, Werner, Spruit, Marco R., van der Putten, Peter

To what degree should we ascribe cognitive capacities to Large Language Models (LLMs), such as the ability to reason about intentions and beliefs known as Theory of Mind (ToM)? Here we add to this emerging debate by (i) testing 11 base- and instructi

Externí odkaz: http://arxiv.org/abs/2310.20320

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Frequency and Acceptance of Clinical Decision Support System-Generated STOPP/START Signals for Hospitalised Older Patients with Polypharmacy and Multimorbidity

Autor: Sallevelt, Bastiaan T G M, Huibers, Corlina J A, Heij, Jody M J Op, Egberts, Toine C G, van Puijenbroek, Eugène P, Shen, Zhengru, Spruit, Marco R, Jungo, Katharina Tabea, Rodondi, Nicolas, Dalleur, Olivia, Spinewine, Anne, Jennings, Emma, O'Mahony, Denis, Wilting, Ingeborg, Knol, Wilma, Afd Pharmacoepi & Clinical Pharmacology, Sub Natural Language Processing, Pharmacoepidemiology and Clinical Pharmacology

Publikováno v: Drugs & Aging
Drugs and Aging, 39, 59-73. ADIS INT LTD
Sallevelt, Bastiaan T G M; Huibers, Corlina J A; Heij, Jody M J Op; Egberts, Toine C G; van Puijenbroek, Eugène P; Shen, Zhengru; Spruit, Marco R; Jungo, Katharina Tabea; Rodondi, Nicolas; Dalleur, Olivia; Spinewine, Anne; Jennings, Emma; O'Mahony, Denis; Wilting, Ingeborg; Knol, Wilma (2022). Frequency and Acceptance of Clinical Decision Support System-Generated STOPP/START Signals for Hospitalised Older Patients with Polypharmacy and Multimorbidity. Drugs & aging, 39(1), pp. 59-73. Adis International 10.1007/s40266-021-00904-z
Drugs & Aging, 39(1), 59-73. ADIS INT LTD
Drugs & Aging, 39(1), 59. NLM (Medline)

Background The Screening Tool of Older Persons’ Prescriptions (STOPP)/Screening Tool to Alert to Right Treatment (START) instrument is used to evaluate the appropriateness of medication in older people. STOPP/START criteria have been converted into

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a216772eb6517dbbf287f432b74e6867
https://research.rug.nl/en/publications/e4f007fe-2af1-4ec8-af59-28f72ac489fd

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A data mining-based cross-industry process for predicting major bleeding in mechanical circulatory support

Autor: Felix, Susanne E A, Bagheri, Ayoub, Ramjankhan, Faiz R, Spruit, Marco R, Oberski, Daniel, De Jonge, Nicolaas, Van Laake, Linda W, Suyker, Willem J L, Asselbergs, Folkert W, Leerstoel Oberski, Methodology and statistics for the behavioural and social sciences, Sub Natural Language Processing

Publikováno v: European Heart Journal-Digital Health, 2(4), 635

AimsOver a third of patients, treated with mechanical circulatory support (MCS) for end-stage heart failure, experience major bleeding. Currently, the prediction of a major bleeding in the near future is difficult because of many contributing factors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12e658b6f4ab42fee36b1d60db8e5205
https://doi.org/10.1093/ehjdh/ztab082