ODT - THESIS TOPIC: Attila Csaba Nagy: Processing large amounts of ...


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Thesis topic proposal

Processing large amounts of (Big Data) cardiometabolic data

THESIS TOPIC PROPOSAL

Institute: University of Debrecen
computer sciences
Doctoral School of Informatics

Thesis supervisor: Attila Csaba Nagy
Location of studies (in Hungarian): Debreceni Egyetem Informatikai Kar
Abbreviation of location of studies: ITDI

Description of the research topic:

The aim of the research is to convert the large amount of cardiometabolic data, generated during clinical data collection, into an analysable format. It also aims to combine and narrow down different data tables through automatic screening criteria. Extraction of valuable information from free text fields that are not available elsewhere, by text mining methods is a key aim too. Besides descriptive statistics, we also want to explore associations in a cleaned dataset using machine learning in addition to traditional statistical methods.

Bibliography
1. International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels, Belgium: International Diabetes Federation, 2019.
2. H Dalianis: Clinical Text Mining, Springer, 2018.
3. JPB Barton: Medical Statistics. John Wiley and Sons, 2014.

Deadline for application: 2021-11-15

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).