Ανάπτυξη βιοδεικτών για την εξατομίκευση θεραπειών με χρήση της αναλυτικής των δεδομένων και μηχανικής μάθησης
Biomarkers development for precision medicine using data analytics and machine learning
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Βιοδείκτες ; Εξατομίκευση θεραπειών ; Μηχανική μάθησηAbstract
Precision medicine is an innovative approach to tailoring disease prevention and treatment
that takes into account differences in people’s biomarkers such as genes, environments,
and lifestyles. Biomarkers are indices which can be measured, evaluated and used for
predictions about disease occurrence and progression. Clinically validated biomarkers
are used for precision medicine to classify patients based on their disease risk, prognosis
and/or response to treatment. Machine learning methods are popularly used for biomarker
discovery and many of them such as Decision Trees, Support Vector Machines, Neural
Networks and others are presented below. Moreover, presented many studies in which
machine learning algorithms have been applied in order to discover potential biomarkers
for precision medicine. Finally they were analyzed three data sets for building in practice
some of the methods that are referred and others beyond them.
Postgraduate Studies Programme
Εφαρμοσμένη ΣτατιστικήDepartment
Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής ΕπιστήμηςNumber of pages
190Language
EnglishCollections
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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