scholarly journals Early Identification of Alcohol Use Disorder Patients at Risk of Developing Korsakoff’s Syndrome

2021 ◽  
Author(s):  
Ludivine Ritz ◽  
Alice Laniepce ◽  
Nicolas Cabé ◽  
Coralie Lannuzel ◽  
Céline Boudehent ◽  
...  
Keyword(s):  
At Risk ◽  
Alcohol Use ◽  
Early Identification ◽  
Alcohol Use Disorder ◽  
Korsakoff’S Syndrome ◽  
Patients At Risk ◽  
Korsakoff's Syndrome

scholarly journals Thalamus: a key player in alcohol use disorder and Korsakoff’s syndrome

Brain ◽  
2019 ◽  
Vol 142 (5) ◽  
pp. 1170-1172 ◽  
Author(s):  
Anil M Tuladhar ◽  
Frank-Erik de Leeuw
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Korsakoff’S Syndrome ◽  
Korsakoff's Syndrome

scholarly journals Dissociating thalamic alterations in alcohol use disorder defines specificity of Korsakoff's syndrome

Brain ◽  
2019 ◽  
Vol 142 (5) ◽  
pp. 1458-1470 ◽  
Author(s):  
Shailendra Segobin ◽  
Alice Laniepce ◽  
Ludivine Ritz ◽  
Coralie Lannuzel ◽  
Céline Boudehent ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Korsakoff’S Syndrome ◽  
Korsakoff's Syndrome

scholarly journals Neuropsychological and Neuroimaging Examinations of Self‐Reported Sleep Quality in Alcohol Use Disorder With and Without Korsakoff's Syndrome

2019 ◽  
Vol 43 (5) ◽  
pp. 952-964 ◽  
Author(s):  
Alice Laniepce ◽  
Shailendra Segobin ◽  
Coralie Lannuzel ◽  
Céline Boudehent ◽  
Ludivine Ritz ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Sleep Quality ◽  
Alcohol Use Disorder ◽  
Korsakoff’S Syndrome ◽  
Korsakoff's Syndrome

Early identification of patients at risk for symptomatic vasospasm after aneurysmal subarachnoid hemorrhage

2000 ◽  
Vol 28 (4) ◽  
pp. 984-990 ◽  
Author(s):  
Adnan I. Qureshi ◽  
Gene Y. Sung ◽  
Alexander Y. Razumovsky ◽  
Karen Lane ◽  
Robert N. Straw ◽  
...  
Keyword(s):  
At Risk ◽  
Subarachnoid Hemorrhage ◽  
Early Identification ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Symptomatic Vasospasm ◽  
Patients At Risk

Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis

2019 ◽  
Vol 73 (4) ◽  
pp. 334-344 ◽  
Author(s):  
Ryan J. Delahanty ◽  
JoAnn Alvarez ◽  
Lisa M. Flynn ◽  
Robert L. Sherwin ◽  
Spencer S. Jones
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Early Identification ◽  
Learning Model ◽  
Machine Learning Model ◽  
Patients At Risk
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