ELIZA

return kwic search for used out of >500 occurrences
821596 occurrences (No.5 in the rank) during 5 years in the PubMed. [cache]

369) The analysis also allowed confidence intervals to be calculated for the figures of merit, and the principal components used by the LDA to be interpreted in terms of metabolites, confirming that bands of uric acid, hypoxanthine, ergothioneine, and glutathione were indeed used by the PCA-LDA algorithm to classify the spectra.

--- ABSTRACT ---

PMID:33294938 DOI:10.1007/s00216-020-03093-7

2021 Analytical and bioanalytical chemistry

* Repeated double cross-validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients.

- Intense label-free surface-enhanced Raman scattering (SERS) spectra of serum samples were rapidly obtained on Ag plasmonic paper substrates upon 785 nm excitation. Spectra from the hepatocellular carcinoma (HCC) patients showed consistent differences with respect to those of the control group. In particular, uric acid was found to be relatively more abundant in patients, while hypoxanthine, ergothioneine, and glutathione were found as relatively more abundant in the control group. A repeated double cross-validation (RDCV) strategy was applied to optimize and validate principal component analysis-linear discriminant analysis (PCA-LDA) models. An analysis of the RDCV results indicated that a PCA-LDA model using up to the first four principal components has a good classification performance (average accuracy was 81%). The analysis also allowed confidence intervals to be calculated for the figures of merit, and the principal components used by the LDA to be interpreted in terms of metabolites, confirming that bands of uric acid, hypoxanthine, ergothioneine, and glutathione were indeed used by the PCA-LDA algorithm to classify the spectra.

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(1)184 to	(7)8 the	(13)2 Arksey	(19)2 over
(2)52 in	(8)7 and	(14)2 VR-HMD	(20)2 qualitative
(3)46 for	(9)7 with	(15)2 an	(21)2 quantitative
(4)25 as	(10)6 by	(16)2 included	(22)2 single-cell
(5)20 a	(11)3 among	(17)2 mixed
(6)14 null	(12)3 were	(18)2 model

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--- WordNet output for used --- =>1.〜に慣れて, 2.用いられた, 中古の Overview of verb use The verb use has 6 senses (first 3 from tagged texts) 1. (603) use, utilize, utilise, apply, employ -- (put into service; make work or employ for a particular purpose or for its inherent or natural purpose; "use your head!"; "we only use Spanish at home"; "I can't use this tool"; "Apply a magnetic field here"; "This thinking was applied to many projects"; "How do you utilize this tool?"; "I apply this rule to get good results"; "use the plastic bags to store the food"; "He doesn't know how to use a computer") 2. (12) use, habituate -- (take or consume (regularly or habitually); "She uses drugs rarely") 3. (8) use, expend -- (use up, consume fully; "The legislature expended its time on school questions") 4. use -- (seek or achieve an end by using to one's advantage; "She uses her influential friends to get jobs"; "The president's wife used her good connections") 5. practice, apply, use -- (avail oneself to; "apply a principle"; "practice a religion"; "use care when going down the stairs"; "use your common sense"; "practice non-violent resistance") 6. use -- (habitually do something (use only in the past tense); "She used to call her mother every week but now she calls only occasionally"; "I used to get sick when I ate in that dining hall"; "They used to vacation in the Bahamas") Overview of adj used The adj used has 3 senses (first 3 from tagged texts) 1. (4) used -- (employed in accomplishing something; "the principle of surprise is the most used and misused of all the principles of war"- H.H.Arnold & I.C.Eaker) 2. (1) exploited, ill-used, put-upon, used, victimized, victimised -- (of persons; taken advantage of; "after going out of his way to help his friend get the job he felt not appreciated but used") 3. (1) secondhand, used -- (previously used or owned by another; "bought a secondhand (or used) car") --- WordNet end ---