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Text Mining for Drug Discovery
Başlık:
Text Mining for Drug Discovery
Yazar:
Piliouras, Dimitrios, author.
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (117 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 76-07C.
Özet:
Over the last several decades, medical and biological research has risen to extraor-dinary levels, opening vast windows into the mechanisms underlying health and dis-ease in living organisms. Integrating this knowledge into a unified framework to en-hance our understanding and decision-making is a significant challenge for the researchcommunity. Efficient drug discovery and development requires methods for bridgingpre-clinical data with patient data, as well as effective literature-mining, in order to es-timate both efficacy and safety outcomes for new molecules and treatment approaches.Text mining is often regarded as an antidote to this exponential growth of biomedicalpublications.In this thesis text-mining and natural-language-processing techniques and tools,aiming to assist with various computational aspects of drug-discovery, are presented.In particular, methods useful for modelling of pharmaco-kinetic parameters, a processby which, the pharmaceutical effects of a drug can be simulated using mathematicalmodels, are pursued. In order to fully realise the potential of such modelling, there isa tremendous need for databases of verified pharmaco-kinetic/dynamic properties ofdrugs. To that end, a context-free-grammar, capable of capturing such parameters, andtheir potential modifications, is proposed. The fully deterministic nature of a contextfree grammar can be side-stepped by embedding a lexical analyser which is able toplug-in external components for specialised sub-tasks (i.e., named entity recognition).The feasibility of this approach is evaluated against a gold-standard corpus, where it isshown to be both effective and efficient, with predictive accuracy touching 90%.
Notlar:
School code: 1543
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(681642.1) | 681642-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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