# name
Analysis of altitude sickness by Lake Louise Score prediction and ophthalmological data studies

# metadata.dc.description[].value
Treballs finals del Màster de Fonaments de Ciència de Dades, Facultat de matemàtiques, Universitat de Barcelona, Any: 2018, Tutor: Oriol Pujol Vila

# metadata.dc.description.abstract[].value
[en] In this work we analyse the data obtained from the Sherpa 2017 Everest project. We focus the study on two problems. First, we study the cause of altitude sickness by analysing the factors that influence the most in the prediction of the Lake Louse Score. Second we study the affection of damage by hypoxia in ophthalmic data. In order to help with this studies, we propose the Iterative Backward Relaxed SVM selection method. This method sorts the factors that are related to the prediction result. With the obtained ordered factors list, we perform the feature selection to remove the uncorrelated factors. The prediction of both Lake Louise Score prediction and the ophthalmic data studies got positive results.

# metadata.dc.source[].value
Màster Oficial - Fonaments de la Ciència de Dades

# metadata.dc.title[].value
Analysis of altitude sickness by Lake Louise Score prediction and ophthalmological data studies