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

Francesco Brigo; Gianni Turcato; Simona Lattanzi; Niccolò Orlandi; Giulia Turchi; Arian Zaboli; Giada Giovannini; Stefano Meletti

doi:10.1111/epi.17372

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

Francesco Brigo
, Gianni Turcato
, Simona Lattanzi
, Niccolò Orlandi
, Giulia Turchi
, Arian Zaboli
, Giada Giovannini
, Stefano Meletti

Krankenhaus Meran

Publikation: Beitrag in Fachzeitschrift › Originalarbeit › Begutachtung

10 Quellenangaben (Web of Science)

Originalsprache	Englisch
Seiten (von - bis)	2507-2518
Fachzeitschrift	EPILEPSIA
Jahrgang	63
Ausgabenummer	10
DOIs	https://doi.org/10.1111/epi.17372
Publikationsstatus	Veröffentlicht - 2022

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10.1111/epi.17372

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@article{67581e5ee71e4b5fb9976ef02887183f,

title = "Machine learning validation through decision tree analysis of the Epidemiology-Based Mortality Score in Status Epilepticus.",

keywords = "CONVULSIVE STATUS EPILEPTICUS, NONCONVULSIVE STATUS EPILEPTICUS, MORBIDITY, PREDICTION, PROGNOSIS, CRITERIA, ADULTS, STESS, RISK",

author = "Francesco Brigo and Gianni Turcato and Simona Lattanzi and Niccol{\`o} Orlandi and Giulia Turchi and Arian Zaboli and Giada Giovannini and Stefano Meletti",

note = "Lehr-KH Meran: Hospital of Merano (SABES-ASDAA), Merano, Italy",

year = "2022",

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T1 - Machine learning validation through decision tree analysis of the Epidemiology-Based Mortality Score in Status Epilepticus.

AU - Brigo, Francesco

AU - Turcato, Gianni

AU - Lattanzi, Simona

AU - Orlandi, Niccolò

AU - Turchi, Giulia

AU - Zaboli, Arian

AU - Giovannini, Giada

AU - Meletti, Stefano

N1 - Lehr-KH Meran: Hospital of Merano (SABES-ASDAA), Merano, Italy

PY - 2022

Y1 - 2022

KW - CONVULSIVE STATUS EPILEPTICUS

KW - NONCONVULSIVE STATUS EPILEPTICUS

KW - MORBIDITY

KW - PREDICTION

KW - PROGNOSIS

KW - CRITERIA

KW - ADULTS

KW - STESS

KW - RISK

U2 - 10.1111/epi.17372

DO - 10.1111/epi.17372

M3 - Original Article

C2 - 35869796

SN - 0013-9580

VL - 63

SP - 2507

EP - 2518

JO - EPILEPSIA

JF - EPILEPSIA

IS - 10

ER -