Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2004
2001 •
2003 •
2003 •
2002 •
American Journal of Bioethics
A personalized patient preference predictor for substituted judgments in healthcare: technically feasible and ethically desirable2024 •
When making substituted judgments for incapacitated patients, surrogates may often struggle to guess what the patient would want if they had capacity. Surrogates may also agonise over having the (sole) responsibility of making such a determination. To address such concerns, a Patient Preference Predictor (PPP) has been proposed that would use an algorithm to infer the treatment preferences of individual patients from population-level data about the known preferences of people with similar demographic characteristics. However, critics have suggested that even if such a PPP were more accurate, on average, than human surrogates in accurately identifying patient preferences, the proposed algorithm would nevertheless fail to respect the patient’s (former) autonomy since it draws on the ‘wrong’ kind of data: namely, data that are not specific to the individual patient and which therefore may not reflect their actual values, or their reasons for having the preferences they do. Taking such criticisms on board, we here propose a new approach: the Personalized Patient Preference Predictor (P4). The P4 is based on recent advances in machine learning, which allow technologies including large language models to be more cheaply and efficiently ‘fine-tuned’ on person-specific data. The P4, unlike the PPP, would be able to infer an individual patient’s preferences from material (e.g., prior treatment decisions) that is in fact specific to them. Thus, we argue, in addition to being potentially more accurate at the individual level than the previously proposed PPP, the predictions of a P4 would also more directly reflect each patient’s own reasons and values. In this article, we review recent discoveries in artificial intelligence research that suggest a P4 is technically feasible, and argue that, if it is developed and appropriately deployed, it should assuage some of the main autonomy-based concerns of critics of the original PPP. We then consider various objections to our proposal and offer some tentative replies.
Trabajo de Investigación realizado por Karen Pedroza, estudiante de la Universidad San Carlos de Guatemala.
Bruno Munari. Tutto. A cura di Marco Meneguzzo e Stefano Roffi, Milano, Dario Cimorelli Editore
Colore, pieghe e giunti: kit di sopravvivenza per aspiranti designer (e storici)2024 •
I progetti di Bruno Munari costituiscono un kit utilizzato come traccia fisica per il contributo di Storia e critica del progetto nel laboratorio di Keyword Design al I anno, I semestre del corso di laurea in Design e comunicazione del Politecnico di Torino.
NASA History News & Notes
Haitian Ma, 'Thinking Outer Space: Astroculture and the Intellectual History of Planetarity' (Conference Report, NYU Berlin, 19–21 July 2023)2023 •
Historia. Santiago de Chile
El Peru virreinal transpacifico, 1580-1604. Agentes, plata y productos chinos entre Potosí, Lima, Nueva España, Filipinas y Macao2022 •
Livro: Temperamentos transformados - Tim LaHaye
Livro: Temperamentos transformados - Tim LaHayeSolid State Technology
Test-retest Reliability and Internal Consistency of the Survey Questionnaire on Digital Trust in the Workplace2021 •
Journal of Biological Chemistry
Mouse Betaine-Homocysteine S-Methyltransferase Deficiency Reduces Body Fat via Increasing Energy Expenditure and Impairing Lipid Synthesis and Enhancing Glucose Oxidation in White Adipose Tissue2012 •
Journal of Great Lakes Research
Spatial Distributions of Legacy Contaminants in Sediments of Lakes Huron and Superior2008 •
2012 •
Turkish Journal of Pediatric Disease
Evaluation of Hospitalizations among Children with Varicella Between 2012 and 2017 at an University Hospital2018 •
2008 •