Evaluating the Performance of Agreement Metrics in a Delphi Study on Chemical, Biological, Radiological and Nuclear Major Incidents Preparedness Using Classical and Machine Learning Approaches

Evaluating the Performance of Agreement Metrics in a Delphi Study on Chemical, Biological, Radiological and Nuclear Major Incidents Preparedness Using Classical and Machine Learning Approaches

<p dir="ltr">Delphi studies in disaster medicine lack consensus on expert agreement metrics. This study examined various metrics using a Delphi study on chemical, biological, radiological, and nuclear (CBRN) preparedness in the Middle East and North Africa region. Forty international...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hassan Farhat (9000509) (author)
مؤلفون آخرون: Alan M. Batt (15373346) (author), Mariana Helou (12477762) (author), Heejun Shin (3069867) (author), James Laughton (14778532) (author), Carolyn Dumbeck (22466161) (author), Arezoo Dehghani (22466164) (author), Fatemeh Rezaei (2742127) (author), Nidaa Bajow (12522916) (author), Luc Mortelmans (2387137) (author), Walid Abougalala (17300914) (author), Roberto Mugavero (22466167) (author), Gregory Ciottone (8480562) (author), Guillaume Alinier (6952004) (author), Mohamed Ben Dhiab (21632843) (author)
منشور في: 2025
الموضوعات:
Health sciences
Health services and systems
agreement analysis
Delphi study
disaster medicine
expert's opinion
MENA
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