Η χρήση των μεθόδων της αναλυτικής των δεδομένων και της στατιστικής μηχανικής μάθησης στην προαγωγή της υγείας
The use of data analytics and machine learning methods for promoting health
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Keywords
Προαγωγή υγείας ; Δημόσια υγεία ; Στατιστική μηχανική μάθησηAbstract
In today's world, the volume and speed of data acquired from various sources related to the environment, population and public health are increasing rapidly. Particularly in the field of health, the volume of data is large which has resulted in the need for the use of data analytics and statistical machine learning methods. An important issue in the field of health is the prevention of diseases, as many health problems that occur in people are related to modern lifestyles and the physical and social environment. Therefore, changes in behaviour and attitudes in areas such as diet, exercise and hygiene could help to combat them. Thus public health decision making is critical and this is where statistical machine learning can help. In this thesis we will give an extensive description of the problems that are tangential to the field of health promotion and how statistical machine learning has helped in solving these problems with the help of various applications of statistical machine learning. Finally, an application leading to decision making using data analytics and statistical machine learning methods will be presented related to the coronavirus pandemic (COVID - 19) and in particular when we can expect a country to provide enough vaccines to achieve herd immunity.
Postgraduate Studies Programme
Εφαρμοσμένη ΣτατιστικήDepartment
Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής ΕπιστήμηςNumber of pages
125Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα