Machine learning validation through decision tree analysis of the Epidemiology‐Based Mortality Score in Status Epilepticus-Reference-Cited by-同舟云学术

Machine learning validation through decision tree analysis of the Epidemiology‐Based Mortality Score in Status Epilepticus

Published:2022-08-23 Issue:10 Volume:63 Page:2507-2518
ISSN:0013-9580
Container-title:Epilepsia
language:en
Short-container-title:Epilepsia

Author:

Brigo Francesco¹^ORCID,Turcato Gianni²,Lattanzi Simona³^ORCID,Orlandi Niccolò⁴⁵^ORCID,Turchi Giulia⁴,Zaboli Arian⁶,Giovannini Giada⁴⁷^ORCID,Meletti Stefano⁴⁵^ORCID

Affiliation:

1. Department of Neurology Hospital of Merano (SABES‐ASDAA) Merano Italy

2. Department of Internal Medicine Hospital of Santorso (AULSS‐7) Santorso Italy

3. Neurological Clinic, Department of Experimental and Clinical Medicine Marche Polytechnic University Ancona Italy

4. Neurology Department University Hospital of Modena Modena Italy

5. Department of Biomedical, Metabolic, and Neural Sciences University of Modena and Reggio‐Emilia Modena Italy

6. Department of Emergency Medicine Hospital of Merano (SABES‐ASDAA) Merano Italy

7. PhD Program in Clinical and Experimental Medicine University of Modena and Reggio‐Emilia Modena Italy

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/epi.17372

Reference26 articles.

1. Frequency and Prognosis of Convulsive Status Epilepticus of Different Causes

2. Mortality, morbidity and refractoriness prediction in status epilepticus: Comparison of STESS and EMSE scores

3. Anesthetic drugs in status epilepticus: Risk or rescue?: A 6-year cohort study

4. Prognosis of status epilepticus: role of aetiology, age, and consciousness impairment at presentation

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