ELIZA cgi-bash version rev. 1.90
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for including out of >500 occurrences
468001 occurrences (No.36 in the rank) during 5 years in the PubMed. [no cache] 500 found
194) To establish a serological classification tree model for rheumatoid arthritis (RA), protein/peptide profiles of serum were detected by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF-MS) combined with weak cationic exchange (WCX) from Cohort 1, including 65 patients with RA and 41 healthy controls (HC).
--- ABSTRACT ---
PMID:24292670 DOI:10.1007/s10238-013-0265-2
2015 Clinical and experimental medicine
* Establishing serological classification tree model in rheumatoid arthritis using combination of MALDI-TOF-MS and magnetic beads.
- To establish a serological classification tree model for rheumatoid arthritis (RA), protein/peptide profiles of serum were detected by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF-MS) combined with weak cationic exchange (WCX) from Cohort 1, including 65 patients with RA and 41 healthy controls (HC). The samples were randomly divided into a training set and a test set. Twenty-four differentially expressed peaks (P < 0.05) were identified in the training set and 4 of them, namely m/z 3,939, 5,906, 8,146, and 8,569 were chosen to set up our model. This model exhibited a sensitivity of 100.0% and a specificity of 96.0% for differentiating RA patients from HC. The test set reproduced these high levels of sensitivity and specificity, which were 100.0 and 81.2%, respectively. Cohort 2, which include 228 RA patients, was used to further verify the classification efficiency of this model. It came out that 97.4% of them were classified as RA by this model. In conclusion, MALDI-TOF-MS combined with WCX magnetic beads was a powerful method for constructing a classification tree model for RA, and the model we established was useful in recognizing RA.
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(1)55 the (10)3 all (20)2 an (29)2 lower
(2)28 13 (11)3 cell (21)2 angiogenesis, (30)2 lung
(3)11 a (12)3 our (22)2 appropriate (31)2 many
(4)7 those (13)3 reduced (23)2 autism (32)2 questions
(5)5 in (14)3 their (24)2 changes (33)2 studies
(6)5 its (15)3 three (25)2 depression, (34)2 topical
(7)4 2 (17)2 3 (26)2 improved (35)2 two
(8)4 both (18)2 37 (27)2 increased
(9)3 age, (19)2 activated (28)2 induction

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--- WordNet output for including --- =>含む Overview of verb include The verb include has 4 senses (first 4 from tagged texts) 1. (234) include -- (have as a part, be made up out of; "The list includes the names of many famous writers") 2. (32) include -- (consider as part of something; "I include you in the list of culprits") 3. (18) include -- (add as part of something else; put in as part of a set, group, or category; "We must include this chemical element in the group") 4. (8) admit, let in, include -- (allow participation in or the right to be part of; permit to exercise the rights, functions, and responsibilities of; "admit someone to the profession"; "She was admitted to the New Jersey Bar") --- WordNet end ---