Now showing items 1-6 of 6

    • Analysing the history of autism spectrum disorder using topic models 

      Beykikhoshk, Adham; Phung, Dinh; Arandelovic, Ognjen; Venkatesh, Svetha (IEEE, 2016-10-17) - Conference item
      We describe a novel framework for the discovery of underlying topics of a longitudinal collection of scholarly data,and the tracking of their lifetime and popularity over time. Unlike the social media or news data, as the ...
    • Closed frequent itemset mining with arbitrary side constraints 

      Kocak, Gokberk; Akgun, Ozgur; Miguel, Ian James; Nightingale, Peter William (IEEE Computer Society, 2018-11-17) - Conference item
      Frequent itemset mining (FIM) is a method for finding regularities in transaction databases. It has several application areas, such as market basket analysis, genome analysis, and drug design. Finding frequent itemsets ...
    • Data mining approach to estimate the duration of drug therapy from longitudinal electronic medical records 

      Montvida, Olga; Arandelovic, Ognjen; Reiner, Edward; Paul, Sanjoy K. (2017) - Journal article
      Background: Electronic Medical Records (EMRs) from primary/ ambulatory care systems present a new and promising source of information for conducting clinical and translational research. Objectives: To address the methodological ...
    • Discovering topic structures of a temporally evolving document corpus 

      Beykikhoshk, Adham; Arandelovic, Ognjen; Phung, Dinh; Venkatesh, Svetha (2018-06) - Journal article
      In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension. In contrast to previous work our model ...
    • LOC8 : A location model and extensible framework for programming with location 

      Stevenson, Graeme Turnbull; Ye, Juan; Dobson, Simon Andrew; Nixon, Paddy (2010) - Journal article
      Location is a core concept in most pervasive systems-and one that's surprisingly hard to deal with flexibly. Using a location model supporting a range of expressive representations for spaces, spatial relationships, and ...
    • Novel histopathologic feature identified through image analysis augments stage II colorectal cancer clinical reporting 

      Caie, Peter David; Zhou, Ying; Turnbull, Arran; Oniscu, Anca; Harrison, David James (2016-06-15) - Journal article
      A number of candidate histopathologic factors show promise in identifying stage II colorectal cancer (CRC) patients at a high risk of disease-specific death, however they can suffer from low reproducibility and none have ...