Blar i forfatter "Botsis, Taxiarchis"
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Data-driven blood glucose pattern classification and anomalies detection: Machine-learning applications in Type 1 diabetes
Woldaregay, Ashenafi Zebene; Årsand, Eirik; Botsis, Taxiarchis; Albers, David; Mamykina, Lena; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-05-01)<p><i>Background - </i>Diabetes mellitus is a chronic metabolic disorder that results in abnormal blood glucose (BG) regulations. The BG level is preferably maintained close to normality through self-management practices, which involves actively tracking BG levels and taking proper actions including adjusting diet and insulin medications. BG anomalies could be defined as any undesirable reading ... -
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Woldaregay, Ashenafi Zebene; Årsand, Eirik; Walderhaug, Ståle; Albers, David; Mamykina, Lena; Botsis, Taxiarchis; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-26)<i>Background</i>: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) regulation that might result in short and long-term health complications and even death if not properly managed. Currently, there is no cure for diabetes. However, self-management of the disease, especially keeping BG in the recommended range, is central to the treatment. This includes actively ... -
EDMON - a system architecture for real-time infection monitoring and outbreak detection based on self-recorded data from people with type 1 diabetes: system design and prototype implementation
Coucheron, Sverre; Woldaregay, Ashenafi Zebene; Årsand, Eirik; Botsis, Taxiarchis; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11)Infection incidences in people with diabetes can create sever health complications mainly due to the effect of stress hormones, such as cortisol and adrenaline, which increases glucose production and insulin resistance in the body. The proposed electronic disease surveillance monitoring network (EDMON) relies on self-recorded data from people with Type 1 diabetes and dedicated algorithms to detect ... -
Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas
Botsis, Taxiarchis; Anagnostou, Valsamo K.; Hripcsak, George; Hartvigsen, Gunnar; Weng, Chunhua (Journal article; Tidsskriftartikkel; Peer reviewed, 2009) -
Sixteen years of ICPC use in Norwegian primary care : looking through the facts
Bassøe, Carl-Fredrik; Botsis, Taxiarchis; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2010)