Now showing items 1-3 of 3
Diagnosis prediction from electronic health records (EHR) using the binary diagnosis history vector representation
(2017-08-01) - Journal article,
Large amounts of rich, heterogeneous information nowadays routinely collected by health care providers across the world possess remarkable potential for the extraction of novel medical data and the assessment of different ...
Intuitive and interpretable visual communication of a complex statistical model of disease progression and risk
(IEEE, 2017-07-11) - Conference item,
Computer science and machine learning in particular are increasingly lauded for their potential to aid medical practice. However, the highly technical nature of the state of the art techniques can be a major obstacle in ...
Analysing the history of autism spectrum disorder using topic models
(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 ...