Robuta

An externally validated ML model for six-month cancer prognosis prediction may help facilitate serious illness conversations between clinicians and patients.

EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.

UCalgary researchers suggest a data-driven approach that identifies groups of at-risk caribou by movement patterns

An increasing reliance on models, regulatory challenges, and talent scarcity is driving banks toward a model risk management organization that is both more...

In general, it can be said that a project is a means of change so that the organization or individual obtain something they do not currently have, and which,...

Discover the benefits of best products to dropship, a retail model that eliminates inventory risks and allows for global sourcing. Learn how to leverage this...

AML risk management involves an AML risk scoring model & AML customer risk assessment. Know about the customer risk assessment methodology used by AML-TRACE...

This release announces a new model that provides early-warning indicators of potential credit rating changes for firms before they are priced into the market...

We developed and externally validated a HNC risk prediction model using the ARCAGE and UK Biobank studies, respectively. This model had moderate performance in...

A MODFLOW-NWT groundwater/surface-water model was developed to evaluate the responses of low-flow conditions and groundwater levels within the lower San...

In this paper three information criteria are employed to assess the truncated operational risk models. The performances of the three information criteria on ...

A new breast cancer risk prediction model combining histologic features of biopsied breast tissue from women with benign breast disease and individual patient...

Several destructive natural hazards have occurred throughout Africa over the past century, yet few comprehensive exposure models exist for the continent. The...

Background: Diabetes has emerged as a critical global public health crisis. Prediabetes, as the transitional phase with 5%-10% annual progression to diabetes,...

The aim of this study is to assess the predisposing factors of diabetes mellitus among farmers in Benue state, using binary logistic regression model. A...

Researchers are suggesting a more comprehensive approach for identifying at-risk wildlife populations -- such as caribou -- based on individual movement...

EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.

Understand the importance of next-gen technologies such as AI-based algorithm to model investigator site performance and identify site workload and risks.

Historically, hospital patients have been at a high risk for adverse effects after they are discharged, according to the Institute of Medicine.

In this paper, the authors examine the problem of validating and calibrating FHS VaR models, focussing in particular on the Hull and White (1998) approach with

The U.S. Food and Drug Administration (FDA) developed a multicriteria-based ranking model for risk management of animal drug residues in milk and milk products.

Modern management of water supply systems is based on a preventive strategy consisting of the prevention of failures and crisis situations. Water pipe failures...

Arsenic-laden groundwater used for cooking and drinking could pose a risk to the health of almost 20 million people across China. The estimates are based on a...

Explore the dynamics of microcephaly incidence caused by Zika virus in pregnant women. Discover how contraceptive measures impact population and increase the...

EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.

Background and objectivesWith the population ageing, the identification of modifiable risk

With the use of models comes inherent model risk, which is prevalent at various stages of the model's existence and in various forms. Model risk management can...

Implementing the zero-trust model is complex; does undertaking such an intense security process pay off in improved management of risk? Read on to find out.

Multi-factor authentication (MFA) is a useful measure for strengthening authentication. Despite its security effectiveness, the adoption of MFA tools

Bankers must establish a model risk management program for regulatory compliance and business benefits. But first, you must clearly define what a risk model is.

This guidance addresses supervisory expectations for model risk management, including: model development, implementation, and use; model validation; and governa

Model Risk Management for Financial Institutions 2025 will take place on December 3 - 5, 2025 at 1166 Avenue of the Americas. Find out more about Model Risk...

Risk Mitigation Service Model

New model flags recent pregnancy, recent hepatitis C diagnosis, and substance use among risk factors that can identify women most at risk for HIV infection.

Deep learning can detect patients who are likely to develop breast cancer and those that are not.

Various studies have indicated that unaccompanied minor refugees (UMRs) have a higher risk of suffering from mental health problems than do accompanied minor...

Explore the latest Model Risk Management trends (MRM) and stay ahead in this evolving landscape. Discover key insights and best practices.

Lifetime risks of developing Alzheimer's disease dementia vary considerably by age, gender and whether any signs or symptoms of dementia are present, according...

Jul 17, 2024 - Discover the latest in AI: Humanity at risk, Japan's copyright laws, Meta's multilingual model, and NVIDIA's AI supercomputer.

MRM-Solution is an easy to use and innovative model risk management tool for banks and insurance companies. Quick and easy to set-up without coding and...

Background and purpose:Based on promising clinical studies results, thoracic radiotherapy (TRT) has become an integral part of treatment of oligometastatic n...

This paper presents a model for quantitative risk analysis with the application of geographic information systems (GISs) using Bayesian theory. It was used for...