Κατεύθυνση Πληροφορική ΥγείαςLibrary of the School of Health Sciences
Ιωάννης Μαντάς, Καθηγητής,Τμήμα Νοσηλευτικής, ΕΚΠΑ
Ελένη Θεοδοσοπούλου, Καθηγήτρια, Τμήμα Νοσηλευτικής, ΕΚΠΑ
Θεόδωρος Μαριόλης-Σαψάκος, Επίκουρος Καθηγητής,Τμήμα Νοσηλευτικής, ΕΚΠΑ
Μέθοδοι ανάλυσης μεγάλου όγκου δεδομένων στο χώρο της υγείας
Methods of big data analysis in healthcare
The main goal of health systems is to provide the best possible healthcare services at the lowest cost and with accessibility to the largest possible population. Although there is enormous availability of information and knowledge that can provide the opportunities demanded for improving health systems, it is impossible to use them and draw the necessary data based on the requirements that exist. This weakness is called to effectively cover the analysis of large volumes of data. This thesis describes the concepts of large data, their mining and analysis methods with an emphasis on health. In addition, reference is made to the practical use of tools and the results they offer, as well as to their future prospects and their implementation in Greek reality. The thesis includes extensively all the features that can be taken into account by health services to exploit their large data, as well as the proposed methodology and their expected health impact. Finally, to give an example of a health big data analysis, the Rapid Miner data analysis tool is used with real-world data from the UK Health System and a presentation of the results is included.
Main subject category:
Big data, Health, Predictive analytics, Data, Data mining, Methods of analysis
ΜΕΘΟΔΟΙ ΑΝΑΛΥΣΗΣ ΜΕΓΑΛΟΥ ΟΓΚΟΥ ΔΕΔΟΜΕΝΩΝ ΣΤΟΝ ΧΩΡΟ ΤΗΣ ΥΓΕΙΑΣ-ΣΟΦΙΑ ΣΑΡΑΦ (2).pdf
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