Filangieri, Guglielmo (A.A. 2023/2024) Survival analysis: enhancing patient outcomes through data-driven evaluation. Tesi di Laurea in Data analysis for business, Luiss Guido Carli, relatore Francesco Iafrate, pp. 38. [Bachelor's Degree Thesis]

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Abstract/Index

Principle of falsifiability. Organization of change in health services. Clinical audit. Clinical audit cycle: key steps. Standards and indicators. The problem of missing data. Data collection. Survival analysis-theory. Censored data. Mathematical notation. Survivor function. Hazard function. Mathematical relationship. Case study: heart failure survival analysis. Explanatory data analysis (EDA). Outliers. Feature importance. Survival analysis. Approaching the survival analysis. Kaplan-Meier. Cox model. Cox proportional hazard model. Proportional hazard assumptions. Survival prediction for censored patients.

References

Bibliografia: pp. 36-37.

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:	Data analysis for business
Thesis Supervisor:	Iafrate, Francesco
Academic Year:	2023/2024
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	06 Feb 2025 15:05
Last Modified:	06 Feb 2025 15:05
URI:	https://tesi.luiss.it/id/eprint/41209

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