Results 51 to 60 of about 7,798,376 (295)
Risks of abuse of large language models, like
Graham Kendall +1 more
openalex +1 more source
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
A Contextual Risk Model for the Ellsberg Paradox
The Allais and Ellsberg paradoxes show that the expected utility hypothesis and Savage's Sure-Thing Principle are violated in real life decisions. The popular explanation in terms of 'ambiguity aversion' is not completely accepted.
Aerts, Diederik, Sozzo, Sandro
core +1 more source
The psychological impact of quarantine due to COVID-19: A systematic review of risk, protective factors and interventions using socio-ecological model framework [PDF]
Eslavath Rajkumar +7 more
openalex +1 more source
Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor
ABSTRACT Background The prevalence and clinical correlates of symptoms of anxiety and depression in pediatric patients with brain tumors are not well described. We aimed to identify clinical characteristics that are correlated with elevated symptoms of anxiety and depression following initial diagnosis.
Bryony J. Lucas +16 more
wiley +1 more source
Credit risk prediction with and without weights of evidence using quantitative learning models
The credit risk assessment process is necessary for maintaining financial stability, cost and time efficiency, model performance accuracy, comparability analysis and future business implications in the commercial banking sector.
Modisane B. Seitshiro, Seshni Govender
doaj +1 more source
Audit Program on Artificial Intelligence (AI)-driven Credit Risk Models [PDF]
From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models ...
Valeria Anna De Palma +4 more
doaj +1 more source
ABSTRACT Background Adverse childhood experiences (ACEs) are stressful or traumatic events prior to age 18 that are known to have a lasting impact on individuals’ health and well‐being. There is a gap in understanding the relationship between ACEs and Other Life Stressors and health status for adults with sickle cell disease (SCD).
Marsha Treadwell +8 more
wiley +1 more source
Modeling default risk charge (DRC) with intensity probability theory
The latest regulation [1] of the fundamental review of the trading book (FRTB) proposes replacing incremental risk charge (IRC) with default risk charge (DRC). Accordingly, many studies were implemented to analyze this change and its impact.
Badreddine Slime, Jaspreet Singh Sahni
doaj +1 more source
Models for assessing and managing credit risk [PDF]
This essay deals with the definition of a model for assessing and managing credit risk. Risk is an inseparable component of any average and normal credit transaction.
Neogradi Slađana
doaj +1 more source

