Timeline for How to use Machine Learning to discover important biomarkers in an unbalanced small data set
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Sep 2, 2019 at 15:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 3, 2019 at 19:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| S Apr 2, 2019 at 1:30 | history | edited | Stephen Rauch♦ | CC BY-SA 4.0 |
Edited the question to be more specific
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| S Apr 2, 2019 at 1:30 | history | suggested | infinity | CC BY-SA 4.0 |
Edited the question to be more specific
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| Apr 2, 2019 at 0:13 | comment | added | 42- | You are going to have a hard time getting solid results for testing biomarkers with sample sizes that low unless that effect sizes are huge. The number of different measurements doesn't really increase statistical power very much. You might want to look at prior research on "severity of illness" to get an idea of what has already been discovered. There is quite a bit already done in the intensive care literature using various techniques. | |
| Apr 1, 2019 at 22:25 | answer | added | Sajid Ahmed | timeline score: 1 | |
| Apr 1, 2019 at 21:30 | review | Suggested edits | |||
| S Apr 2, 2019 at 1:30 | |||||
| Apr 1, 2019 at 20:56 | comment | added | oW_ | I think you need to be a bit more specific on what your questions is or it will be difficult to provide you with helpful answers | |
| Apr 1, 2019 at 20:10 | review | First posts | |||
| Apr 1, 2019 at 20:56 | |||||
| Apr 1, 2019 at 20:06 | history | asked | Infinity | CC BY-SA 4.0 |