Integrating exposome: the relevance of databases in the implementation of a comprehensive diagnosis approach

Frulio, Giacomo (A.A. 2023/2024) Integrating exposome: the relevance of databases in the implementation of a comprehensive diagnosis approach. Tesi di Laurea in Databases & big data, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 32. [Bachelor's Degree Thesis]

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Abstract/Index

Literature. What is exposomics. History and future perspective. Dataset relevance in diagnosis administration. Nosql datasets and mongodb. Method. Risk factor data selection. Risk factors datasets` specifics. Pollutants’ impact data selection. "Deaths by territory of residence" dataset specifics. Analysis and interpretation. The importance of data preprocessing.

References

Bibliografia: pp. 31-32.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair: Databases & big data
Thesis Supervisor: Sinaimeri, Blerina
Academic Year: 2023/2024
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 17 Oct 2024 15:44
Last Modified: 17 Oct 2024 15:44
URI: https://tesi.luiss.it/id/eprint/40120

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