Timeline for Feature selection for disease classification based on tests
Current License: CC BY-SA 3.0
11 events
when toggle format | what | by | license | comment | |
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Mar 27, 2012 at 7:49 | comment | added | Jim Bo | Actually yes, currently the diagnosis is a composite score, along with biopsies & other measures. However I intend to build the classifier without using the tests and just using the biopsy/other measures to determine the class label, to avoid circularity | |
Mar 27, 2012 at 5:30 | answer | added | SheldonCooper | timeline score: 0 | |
Mar 26, 2012 at 23:38 | history | tweeted | twitter.com/#!/StackStats/status/184424219927515137 | ||
Mar 26, 2012 at 18:21 | comment | added | Matt Parker | Were any of the 15 tests used to establish your current disease diagnoses, or was there a separate (and hopefully great) standard test that determined them? | |
Mar 26, 2012 at 18:07 | answer | added | MSPAN | timeline score: 1 | |
Mar 26, 2012 at 18:04 | comment | added | Jim Bo | Sorry if it was unclear! I thought the fact I could see a couple of clusters in the data might be helpful in the choise of model/classifier/rule | |
Mar 26, 2012 at 17:49 | comment | added | Jim Bo | Not necessarily from all features.. it would also be great if we could find a sub-set that is as good as using all 15. | |
Mar 26, 2012 at 17:46 | comment | added | Jim Bo | Exactly. I did the clustering to look for "structure" in the data, i.e. if I could see difference in patterns of scores between dis vs. non-disease. However my aim is to devise a (ideally simple and intuitive) scoring rule | |
Mar 26, 2012 at 17:43 | comment | added | chl | It seems you want to use some kind of a supervised algorithm (where class membership is known in advance) as opposed to unsupervised methods (like clustering). Can you confirm that what you are after is simply devising a 'scoring rule' (Prob(individual i has disease)) from all 15 features? | |
Mar 26, 2012 at 17:40 | history | edited | chl | CC BY-SA 3.0 |
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Mar 26, 2012 at 15:40 | history | asked | Jim Bo | CC BY-SA 3.0 |