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Abstract
Due to their importance, prediction models have been developed across a wide range of fields, including Medicine, Meteorology, Finance, and Ecology, among others. However, it is in Medicine that these models have gained the greatest importance, with their use increasing significantly in recent years. Effectively, areas such as public health, clinical practice, and medical research have greatly benefited from the valuable information provided by these types of models. This presentation aims to explore different approaches within the field of prediction modelling, outlining all the essential steps required to develop valid and reliable models. In today’s era of artificial intelligence, any talk about prediction inevitably involves the topic of artificial neural networks. Practical examples from the field of Medicine will be presented.
Short Bio
Ana Luisa Papoila holds a degree in Mathematics from the Faculty of Sciences at the University of Lisbon (FCUL), a master’s degree in Statistics and Optimization from the Faculty of Sciences and Technology at the Nova University of Lisbon (FCT-UNL), and a PhD in Probability and Statistics from FCUL. She is a Full Professor at NOVA Medical School/Faculty of Medical Sciences at UNL, and a member of the Faculty Council of this institution. She is an integrated member of the Statistics and Applications Center of FCUL (CEAUL), having also been part of its Executive Committee. She is a member of the Portuguese Society of Statistics and a member of the General Assembly Board of this Society. Her main area of interest lies in statistical methodologies applied to Health Sciences, and she has also contributed to enhancing the performance of generalized additive neural networks and improving the interpretability of their results. She has been involved in many medical research projects that resulted in several articles published in international journals and awards, including the 1996 Bial Award for Clinical Medicine.
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