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Master thesis

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2018-07-03

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cc-by-sa (c) Huang Chen, 2018
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/134597

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

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Abstract

[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.

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Treballs finals del Màster de Fonaments de Ciència de Dades, Facultat de matemàtiques, Universitat de Barcelona, Any: 2018, Tutor: Oriol Pujol Vila

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Subject

Influència de l'altitud, Anoxèmia, Treballs de fi de màster, Algorismes computacionals, Oftalmologia, Sistemes classificadors (Intel·ligència artificial)

Subject (English)

Influence of altitude, Anoxemia, Master's theses, Computer algorithms, Ophthalmology, Learning classifier systems

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Màster Oficial - Fonaments de la Ciència de Dades
Programari - Treballs de l'alumnat

Citation

CHEN, Huang. Analysis of altitude sickness by Lake Louise Score prediction and ophthalmological data studies. [consulted: 7 of October of 2026]. Available at: https://hdl.handle.net/2445/134597

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