Results 131 to 140 of about 21,700,063 (319)

Surveillance of Pharmaceutical Risk‐Mitigation Behavior: Applying and Comparing Statistical Process Control Methods Using Real World Data

open access: yesLearning Health Systems
Introduction Active post‐marketing surveillance of prescribing behavior of high‐risk drugs may provide early warning of unforeseen issues in a population, yet analysis approaches for surveillance using real‐world data are underdeveloped.
Harris Butler   +3 more
doaj   +1 more source

ON THE TIME VALUE OF RUIN IN THE DISCRETE TIME RISK MODEL [PDF]

open access: yes
Using an approach similar to that of Gerber and Shiu (1998), a recursive formula is given for the expected discounted penalty due at ruin, in the discrete time risk model. With it the joint distribution of three random variables is obtained; time to ruin,
Shuanming Li, José Garrido
core  

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru   +13 more
wiley   +1 more source

Associations of physiologic subtypes based on HOMA2 indices of β-cell function and insulin sensitivity with the risk of kidney function decline, cardiovascular disease, and all-cause mortality from the 4C study

open access: yesCardiovascular Diabetology
Background Previous studies have been limited by their inability to differentiate between the effects of insulin sensitivity and β-cell function on the risk of kidney function decline, cardiovascular disease (CVD), and all-cause mortality.
Peiqiong Luo   +17 more
doaj   +1 more source

Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin. [PDF]

open access: yes
We consider the classical risk model and carry out a sensitivity and robustness analysis of finite-time ruin probabilities. We provide algorithms to compute the related influence functions.
Stéphane Loisel   +2 more
core  

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird   +9 more
wiley   +1 more source

RELIABILITY OF RISK ASSESSMENT IN PETROCHEMICAL INDUSTRIES

open access: yesInternational Journal of Industrial Management, 2015
Quantitative Risk Assessment is one of the approaches to assess risks. A fuzzy set is a new mathematical tool to model inaccuracy and uncertainty. In this research paper, an integrate model has proposed to solve problem of uncertainty of initiative ...
Rachid Ouache, Ali Asghar A.J. Adham
doaj  

Large Language Models for Construction Risk Classification: A Comparative Study

open access: yesBuildings
Risk identification is a critical concern in the construction industry. In recent years, there has been a growing trend of applying artificial intelligence (AI) tools to detect risks from unstructured data sources such as news articles, social media ...
Abdolmajid Erfani, Hussein Khanjar
doaj   +1 more source

Robustifying the Classical Model of Risk Preferences and Beliefs [PDF]

open access: yes, 2002
Robustify. To identify the analytical aspects of a model that continue to hold under more genral conditions. This usually requires expressing the model and its results in a particular manner as statements that may be logically equivalent under the assumptions of a given model can differ widely in their robustness to dropping these assumptions.
openaire   +1 more source

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