Now showing items 1-4 of 4
Visualization of patient specific disease risk prediction
(IEEE, 2017-02-16) - Conference item,
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergencies, blood test results, scans etc) by health care providers offers an unprecedented opportunity for the application of ...
Automatic vertebrae localization from CT scans using volumetric descriptors
(IEEE, 2017-09-14) - Conference item,
The localization and identification of vertebrae in spinal CT images plays an important role in many clinical applications, such as spinal disease diagnosis, surgery planning, and post-surgery assessment. However, automatic ...
Towards sophisticated learning from EHRs : increasing prediction specificity and accuracy using clinically meaningful risk criteria
(IEEE, 2016-08-16) - Conference item,
Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel insights of benefit both to specific individuals in the context of personalized medicine, as well as on the level of ...
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 ...