Explainable Artificial Intelligence to predict clinical outcomes in type 1 diabetes and relapsing-remitting multiple sclerosis adult patients

Explainable Artificial Intelligence to predict clinical outcomes in type 1 diabetes and relapsing-remitting multiple sclerosis adult patients

Artificial intelligence (AI) is increasingly being used to improve patient care and management. In this paper, we propose explainable AI (XAI) models for predicting severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) episodes in adults with type 1 diabetes (T1D) and relapses in adults with rela...

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Bibliographic Details
Main Authors: Anusha Ihalapathirana, Konstantina Chalkou, Pekka Siirtola, Satu Tamminen, Gunjan Chandra, Pascal Benkert, Jens Kuhle, Georgia Salanti, Juha Röning
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Explainable AI
T1D
RRMS
Severe hypoglycemia
Diabetic ketoacidosis
Relapses
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823001958

Internet

http://www.sciencedirect.com/science/article/pii/S2352914823001958

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