Cibelli, Michele (A.A. 2022/2023) Blockchain and machine learning applications for healthcare. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 104. [Master's Degree Thesis]

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Abstract/Index

Blockchain, AI and machine learning. New rise of blockchain. Historical background of blockchain. Blockchain typologies. Artificial intelligence. The intuition of machine learning. Fields of machine learning. New trends in machine learning. Electronic health record. Telemedicine. Population health management. Risk management. Comunication and participation citizen-patient. Methodologies for diagnostics: supervised, unsupervised, reinforcement. Main AI application in healthcare to support diagnostics, some numbers. Regulatory and ethical framework. General data pretoction regulation (GDPR). Rights inside GDPR. Impact on organization and sanctions. International data transfer. Data protection officer (DPO). Future prospects. European health data space. Italian privacy code. Ethical implications. Blockchain case study: "my health my data". Type of blockchain adopted achieving compliance with GDPR and key innovations. How does it work? Machine learning case study: how to develop algorithms to detect diagnosis. Parkinson detection models. Breast cancer detection model. Heart disease detection model. Investments and cost saving: where does the balance tip?

References

Bibliografia e sitografia: pp. 100-104.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Machine learning
Thesis Supervisor:	Italiano, Giuseppe Francesco
Thesis Co-Supervisor:	Spagnoletti, Paolo
Academic Year:	2022/2023
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	22 May 2024 13:50
Last Modified:	22 May 2024 13:50
URI:	https://tesi.luiss.it/id/eprint/38608

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