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Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study
by
Guazzo, Alessandro
,
Atzeni, Michele
,
Idi, Elena
,
Trescato, Isotta
,
Tavazzi, Erica
,
Longato, Enrico
,
Manera, Umberto
,
Chió, Adriano
,
Gromicho, Marta
,
Alves, Inês
,
de Carvalho, Mamede
,
Vettoretti, Martina
,
Di Camillo, Barbara
Published in
BMC medical informatics and decision making
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Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by Malfunctions
by
Idi, Elena
,
Facchinetti, Andrea
,
Sparacino, Giovanni
,
Del Favero, Simone
Published in
Journal of diabetes science and technology
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Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management
by
Idi, Elena
,
Manzoni, Eleonora
,
Facchinetti, Andrea
,
Sparacino, Giovanni
,
Favero, Simone Del
Published in
IEEE journal of biomedical and health informatics
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Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors
by
Idi, Elena
,
Manzoni, Eleonora
,
Sparacino, Giovanni
,
Del Favero, Simone
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Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters
by
Idi, Elena
,
Prendin, Francesco
,
Facchinetti, Andrea
,
Sparacino, Giovanni
,
Del Favero, Simone
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Bmc Medical Informatics And Decision Making
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Ieee Journal Of Biomedical And Health Informatics
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Journal Of Diabetes Science And Technology
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Subjects
Fault Detection
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Glucose
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Science & Technology
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Sensors
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Algorithms
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Compression Artifacts
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Datasets
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Life Sciences & Biomedicine
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Monitoring
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Real-Time Systems
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Type 1 Diabetes
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Accuracy
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Aged
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Amyotrophic Lateral Sclerosis
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Amyotrophic Lateral Sclerosis - Therapy
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Artificial Intelligence
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Biomedical Monitoring
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Body Area Networks
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Cgm
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