Query Results

Number of results 1000
Lowest scoring result 20.54405
Abstracts of results results.html
Complete abstracts of the articles in Medline predicted to be relevant (limited number per page).
Abstracts of all results ZIP file or all_results.html
All result abstracts on a single page. (can take a long time to load - downloading the zip file is recommended)
Abstracts of input examples inputs.html
Complete abstracts of the Medline records given as relevant training examples. They have been ranked by classifier scores.
PubMed IDs of results results.txt
PubMed IDs and scores of classifier predictions, ranked by decreasing score.
PubMed IDs of inputs inputs.txt
PubMed IDs and scores of the relevant training examples.
Started at 2009/02/25 08:23:34 GMT
Time at which query was started
Finished at 2009/02/25 08:26:36 GMT
Time at which this file was written.
Feature score method scores_bgfreq
Name of the method used to calculate feature scores. Docstring for the method: The prior is 'background frequency' successes, out of 1 total occurrence in each class.
Min Document Frequency 2
We exclude features occurring fewer than this many times in the data
Base score -12.2436456494
The log likelihood ratio of an empty article (one in which every feature failed to occur).
Prior score -8.0791802835
The log of the prior probability ratio for an article being relevant versus irrelevant (added to log likelihood ratio to obtain the final score). Equals the logit of the estimated prevalence of relevant articles in Medline (which may be estimated from the input size or specified separately).
Limit 1000
The maximum number of results to include.
Threshold -30.0
Default Naive Bayes classification threshold is zero. This threshold is the minimum log probability ratio for predicting an article to be relevant.

Feature Statistics

Quantity Relevant Docs Irrelevant Docs
Number of documents 5276 17026700
Number of selected, occurring features 5079 41209
Total occurrences of selected features 86963 230915484
Selected features per Medline record 16.483 13.562
Of the considered feature types, 41209 features are selected out of 43325 occurring at least once in training data. The aggressivity of selection is 1.051. The complete database lists 43326 potential features.

Features with high TF.IDF

Features with TF.IDF above 0.2 or 0.3 could make good keywords. TF.IDF is term frequency times inverse document frequency, where we treat the set of input citations as a single document

TF-IDF Type Term Term ID Score Pos Neg
0.47 mesh Huntington Disease 5148 17.81 5276 1649
0.07 qual genetics 4402 2.11 2529 1716086
0.05 mesh Nerve Tissue Proteins 8860 3.95 765 55177
0.04 mesh Nuclear Proteins 13300 3.89 662 49714
0.04 mesh Middle Aged 8417 1.22 1939 2485503
0.04 mesh Corpus Striatum 342 4.36 532 24389
0.04 mesh Adult 8416 1.01 1993 3081327
0.04 qual physiopathology 6635 1.43 1141 1057267
0.04 mesh Male 5429 0.83 2586 5034183
0.03 mesh Female 5165 0.75 2465 4982866
0.03 qual pathology 4121 1.10 1259 1608214
0.03 mesh Disease Models, Animal 10947 2.79 603 134031
0.03 mesh Brain 419 2.17 712 297059
0.03 mesh Trinucleotide Repeats 34610 6.09 314 2431
0.03 mesh Mice, Transgenic 28300 3.53 446 46101
0.03 qual metabolism 1195 0.61 1563 3170815
0.03 qual diagnosis 647 0.93 1042 1503926
0.03 qual psychology 5147 1.57 683 513076
0.03 mesh Humans 6971 1.62 4682 10363809
0.03 mesh Aged 1395 0.73 1001 1720206