%0 Conference Paper %1 WebbAgar91 %A Webb, G.I. %A Agar, J. %B Proceedings of the IJCAI Workshop W.15: Representing Knowledge in Medical Decision Support Systems %D 1991 %E Sarmeinto, C. %K Learning Rule %P 8.1-8.8 %T The Application of Machine Learning to the Diagnosis of Glomerular Disease %X A pilot study has applied the DLG machine learning algorithm to create expert systems for the assessment and interpretation of clinical and laboratory data in glomerular disease. Despite the limited size of the data-set and major deficiencies in the information recorded therein, for one of the conditions examined in this study, microscopic polyarteritis, a consistent diagnostic accuracy of 100% was obtained. With expansion of the data base, it is possible that techniques will be derived that provide accurate non-invasive diagnosis of some cases of glomerular disease, thus obviating the need for renal biopsy. Success in this project will result in significant reductions in both the cost and the morbidity associated with the investigation of glomerular disease.

@inproceedings{WebbAgar91, abstract = {A pilot study has applied the DLG machine learning algorithm to create expert systems for the assessment and interpretation of clinical and laboratory data in glomerular disease. Despite the limited size of the data-set and major deficiencies in the information recorded therein, for one of the conditions examined in this study, microscopic polyarteritis, a consistent diagnostic accuracy of 100% was obtained. With expansion of the data base, it is possible that techniques will be derived that provide accurate non-invasive diagnosis of some cases of glomerular disease, thus obviating the need for renal biopsy. Success in this project will result in significant reductions in both the cost and the morbidity associated with the investigation of glomerular disease.}, added-at = {2016-03-20T05:42:04.000+0100}, audit-trail = {Reconstructed paper posted May 2006}, author = {Webb, G.I. and Agar, J.}, biburl = {https://www.bibsonomy.org/bibtex/2f592e1b4bc2d60f83ef86f7875b66e27/giwebb}, booktitle = {Proceedings of the {IJCAI} Workshop W.15: Representing Knowledge in Medical Decision Support Systems}, editor = {Sarmeinto, C.}, interhash = {d9e9af50d802d094d9f1c76c0156c6ae}, intrahash = {f592e1b4bc2d60f83ef86f7875b66e27}, keywords = {Learning Rule}, location = {Sydney, Australia}, pages = {8.1-8.8}, timestamp = {2016-03-20T05:42:04.000+0100}, title = {The Application of Machine Learning to the Diagnosis of Glomerular Disease}, year = 1991 }