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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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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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