AIMC Topic: Probability
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Probability Statements Extraction with Constrained Conditional Random Fields.
Studies in health technology and informatics
Jan 1, 2016
This paper investigates how to extract probability statements from academic medical papers. In previous work we have explored traditional classification methods which led to numerous false negatives. This current work focuses on constraining classifi...
Patient Centered Event Representation for the Treatment of Multifactorial Diseases: Current Progress and Challenges.
Studies in health technology and informatics
Jan 1, 2016
Events such as clinical interventions, adverse drug events are one of the basic semantic units in the clinical workflow and are the foundation of the pathway representation. Current research has mainly concentrated on event recognition through concep...
Using Deep Learning for Compound Selectivity Prediction.
Current computer-aided drug design
Jan 1, 2016
Compound selectivity prediction plays an important role in identifying potential compounds that bind to the target of interest with high affinity. However, there is still short of efficient and accurate computational approaches to analyze and predict...
Evidence reasoning method for constructing conditional probability tables in a Bayesian network of multimorbidity.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2015
BACKGROUND: The intrinsic mechanism of multimorbidity is difficult to recognize and prediction and diagnosis are difficult to carry out accordingly. Bayesian networks can help to diagnose multimorbidity in health care, but it is difficult to obtain t...
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