Artificial intelligence and Machine learning : a diabetic readmission study

Detta är en Kandidat-uppsats från Högskolan Kristianstad/Avdelningen för datavetenskap

Författare: Robin Forsman; Jimmy Jönsson; [2019]

Nyckelord: Artificial intelligence; Machine learning; Logistic regression; K-nearest neighbor; Boosted decision tree; Artificial neural network;

Sammanfattning: The maturing of Artificial intelligence provides great opportunities for healthcare, but also comes with new challenges. For Artificial intelligence to be adequate a comprehensive analysis of the data is necessary along with testing the data in multiple algorithms to determine which algorithm is appropriate to use. In this study collection of data has been gathered that consists of patients who have either been readmitted or not readmitted to hospital within 30-days after being admitted. The data has then been analyzed and compared in different algorithms to determine the most appropriate algorithm to use.

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