Results 91 to 100 of about 1,952,749 (256)

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob   +4 more
wiley   +1 more source

Incorporation of Stochastic Policyholder Behavior in Analytical Pricing of GMABs and GMDBs

open access: yesRisks, 2016
Variable annuities represent certain unit-linked life insurance products offering different types of protection commonly referred to as guaranteed minimum benefits (GMXBs).
Marcos Escobar   +4 more
doaj   +1 more source

Harnessing the Potential of LLMs in Hospital Management: Insights Into Medical Data Inquiry

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT Background Considering the rapid expansion of hospital operations and the increasing digitisation of medical data, there is a pressing need for efficient and intelligent methods to process and analyse large‐scale medical data. Methods We integrated the QLoRA algorithm with ChatGLM2‐6b, Llama2‐7b, and Llama2‐13b models, fine‐tuning them on a ...
Jiaxi Li   +4 more
wiley   +1 more source

A multilevel perspective on MSH6‐associated Lynch syndrome: Integrating molecular, biological, and clinical insights

open access: yesInternational Journal of Cancer, EarlyView.
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia   +4 more
wiley   +1 more source

Life is Cheap: Using Mortality Bonds to Hedge Aggregate Mortality Risk [PDF]

open access: yes
Using the widely-cited Lee-Carter mortality model, we quantify aggregate mortality risk as the risk that the average annuitant lives longer than is predicted by the model, and we conclude that annuity business exposes insurance companies to substantial ...
Leora Friedberg, Anthony Webb
core  

High‐Concordance Detection Across Diverse Biospecimens EGFR Mutation in a Large‐Scale NSCLC Cohort Using Droplet Digital PCR and Next‐Generation Sequencing

open access: yesiMetaMed, EarlyView.
DdPCR provides reliable detection and quantification of clinically relevant EGFR mutations across multiple specimen types and processing states. ABSTRACT Accurate detection and quantification of EGFR mutations are essential for molecular stratification in non‐small cell lung cancer (NSCLC).
Ming Liu   +17 more
wiley   +1 more source

A new approach to dynamic stochastic mortality modelling for managing mortality-longevity risk

open access: yes, 2022
Η συνεχής αύξηση του προσδόκιμου ζωής που παρατηρείται τα τελευταία χρόνια, ιδιαίτερα στις ανεπτυγμένες χώρες, καθώς και οι αναλογιστικοί κίνδυνοι που εγείρονται λόγω της γήρανσης του πληθυσμού έχουν ωθήσει την επιστημονική κοινότητα και τους αναλογιστές
Σαγιάνου, Αλίκη   +1 more
core  

African Economic Growth Revisited

open access: yesJournal of International Development, EarlyView.
ABSTRACT This paper presents an updated analysis of the patterns of economic development in Africa over the last 60 years. The analysis stresses the heterogeneity of development trajectories among sub‐Saharan African (SSA) countries. We examine the joint dynamics of income and population in 35 SSA countries.
Jean‐Paul Chavas, Daniel W. Bromley
wiley   +1 more source

Contrasting Heatwave Regimes in Dry and Humid Subtropical Mexico: A Station‐Based Probabilistic Assessment

open access: yesInternational Journal of Climatology, EarlyView.
Heatwaves have intensified under a warming climate, producing substantial environmental and societal impacts. This study characterizes heatwave regimes in two contrasting regions of Mexico using a percentile‐based threshold and a Poisson distribution framework.
Jorge Cortés‐Ramos   +6 more
wiley   +1 more source

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