Learning or inferring medical concepts from medical...

Details Learning or inferring medical concepts from medical... Learning or inferring medical concepts from medical...

2007-09-05

2010-11-23

Holmes, Michael B. (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Reexamination Certificate

active

07840511

ABSTRACT:
A medical concept is learned about or inferred from a medical transcript. A probabilistic model is trained from medical transcripts. For example, the problem is treated as a graphical model. Discrimitive or generative learning is used to train the probabilistic model. A mutual information criterion can be employed to identify a discrete set of words or phrases to be used in the probabilistic model. The model is based on the types of medical transcripts, focusing on this source of data to output the most probable state of a patient in the medical field or domain. The learned model may be used to infer a state of a medical concept for a patient.

REFERENCES:
patent: 2003/0093003 (2003-05-01), Watrous et al.
patent: 2003/0120458 (2003-06-01), Rao et al.
patent: 2003/0125984 (2003-07-01), Rao et al.
patent: 2003/0125985 (2003-07-01), Rao et al.
patent: 2003/0130871 (2003-07-01), Rao et al.
patent: 2004/0172297 (2004-09-01), Rao et al.
patent: 2006/0265253 (2006-11-01), Rao et al.
Taskar et al. “Discriminative Probabilistic Models for Relation Data”, UAI, 2002, 8 pages.

Affiliated with

Also associated with

Rating

Learning or inferring medical concepts from medical... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Learning or inferring medical concepts from medical..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning or inferring medical concepts from medical... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4251335