ライフサイエンスコーパス: accuracy

1 to enable data-driven multiplexing with high accuracy.

2 were resolved and identified with high mass accuracy.

3 aluable tool for its unprecedented speed and accuracy.

4 ble in terms of image quality and diagnostic accuracy.

5 t CIGs and their master regulators with high accuracy.

6 in content in aqueous solutions with greater accuracy.

7 e trophic interactions can be predicted with accuracy.

8 ased deep learning, can boost the predictive accuracy.

9 inable interaction terms contributing to the accuracy.

10 ger number of qubits gives better prediction accuracy.

11 analysis, as well as its highly quantitative accuracy.

12 ly weighted kappa values, and classification accuracy.

13 is a useful addition to existing measures of accuracy.

14 f this study was to prospectively assess its accuracy.

15 hat stressed either response speed or visual accuracy.

16 istically significant improvements in the Q3 accuracy.

17 us to predict microbe occurrences with ~90% accuracy.

18 rated clinical datasets, achieving up to 85% accuracy.

19 umption, cost, computational complexity, and accuracy.

20 his approach is rooted in its simplicity and accuracy.

21 obtained 88% training accuracy and 87% test accuracy.

22 algorithm are employed to improve simulation accuracy.

23 entify polyreactive antibodies with over 75% accuracy.

24 mparison against EEG to determine degrees of accuracy.

25 iltering smoothing algorithm improved sensor accuracy.

26 of recovery from septic shock with over 90% accuracy.

27 veterinary clinicians with a high degree of accuracy.

28 individual metal from one another with 100% accuracy.

29 nd matrix elements were determined with high accuracy.

30 signals in information content and decoding accuracy.

31 e-based detection achieved a higher level of accuracy.

32 imal and plant miRNAs and demonstrated great accuracy.

33 tive equations showed very good agreement or accuracy.

34 c motion estimation that can still have good accuracy.

35 d that using more genes did not improve this accuracy.

36 thod with previous proven high precision and accuracy.

37 ically recognizes these imaged data with 94% accuracy.

38 each of the vast pixels maintains the colour accuracy.

39 ed miRNAs much improves the cancer subtyping accuracy.

40 d by indirect calorimetry was used to assess accuracy.

41 events with high spatial resolution and high accuracies.

42 with significant improvements on prediction accuracies.

43 han those delivered during standing (average accuracy ~ 0.65) between mTBI subjects and healthy contr

44 g provided greater discriminability (average accuracy ~ 0.90) than those delivered during standing (a

45 oding experiments that investigated decoding accuracy: (1) based on delta band time-domain features,

46 nts with a large scar burden (>15%) with 98% accuracy (202 of 207) (95% confidence interval [CI]: 95%

47 de drug-naive (FEDN) schizophrenia patients (accuracy 78.6%) and predict their responses to antipsych

48 their responses to antipsychotic treatment (accuracy 82.5%) at an individual level.

49 f TBR reduction relative to baseline, >=10%; accuracy, 82%; P = 0.004).

50 of the new DTI features obtained the highest accuracy (85%) as a single feature, and when it was comb

51 Genes under selection in tumors shows a high accuracy (92%) when evaluated via strict cross-validatio

52 of the general endoscopists were 88% vs 73% accuracy, 93% vs 72% sensitivity, and 83% vs 74% specifi

53 edge about how species compromise camouflage accuracy across different background types in their habi

54 As a result, we obtained 88% training accuracy and 87% test accuracy.

55 n of prolonged length of stay were 85 +/- 3% accuracy and AUROC 0.94 +/- 0.04.

56 ECs and NECs might provide better diagnostic accuracy and efficacy levels than PBMCs.

57 s the way for clinical trials to improve the accuracy and efficiency of breast cancer screening.

58 d interactions to compare the classification accuracy and feature selection performance of the new cn

59 tects surgical phases, but does so with high accuracy and is able to generalize to new settings and u

60 periodic audits are necessary to ensure data accuracy and minimize bias.

61 of lossy compression on methylation calling accuracy and observe that this impact is minimal for sim

62 The proposed methods can improve accuracy and potentially save a significant amount of ti

63 leavage acDrug PK assay, resulting in robust accuracy and precision (+/-20%).

64 ne replicated assignment per sample and that accuracy and precision are relatively insensitive to the

65 However, the accuracy and precision of the naive CFR remain limited b

66 kinetics of the standards results in greater accuracy and precision than the underlying absolute meas

67 tification 4.4 and 14.9 ug/mL respectively), accuracy and precision.

68 ased RV still faces challenges in prediction accuracy and program accessibility.

69 ication of 2D materials with high prediction accuracy and real-time processing capability.

70 The accuracy and reproducibility of microbiome data depend o

71 These data validate the accuracy and reproducibility of the qSVS assay in quanti

72 f the tested markers showed quantifiability, accuracy and reproducibility.

73 systemic disease could negatively impact the accuracy and sensitivity of biomarkers dependent on FAZ

74 rmed by dataset structures, bayNorm improves accuracy and sensitivity of differential expression anal

75 was first decoded from human brain signals, accuracy and speed remain far below that of natural spee

76 ld demonstrate greater HC-SCZ classification accuracy and that combined gene-environment stratificati

77 processing that significantly improves mass accuracy and the precision of intensity ratios of isotop

78 ictive value, negative predictive value, and accuracy and to evaluate the estimator for correlation,

79 findings raise questions about documentation accuracy and utility and may have implications for quali

80 It does so with accuracy and velocity compatible with those of high-thro

81 ong-read platforms, which tend to have lower accuracy and/or throughput.

82 a 91% sensitivity, 97% specificity, and 93% accuracy, and all the misclassified samples fell between

83 Here, we examine the prevalence, accuracy, and consequences of meta-perceptions among Ame

84 ribing SV type (deletion or insertion), size accuracy, and genotype for 1235 putative insertions and

85 t acuity, quality metrics, research database accuracy, and healthcare reimbursement in order to highl

86 , recapitulated known GPCR agonism with 100% accuracy, and identified unexpected interactions for the

87 rrently display the highest reproducibility, accuracy, and stability in modern biosensors.

88 to thousands of kilobases in length with an accuracy approaching that of short-read sequencing techn

89 The diagnostic accuracy as measured by the area under the receiver oper

90 which measures color intensity with the same accuracy as standard manual approaches, can rapidly proc

91 cals with a defined applicability domain and accuracy assessment.

92 The primary outcomes were clinicians' accuracy at identifying multiple organ dysfunction syndr

93 We developed average weighted accuracy (AWA), representing a pragmatic metric of diagn

94 tic curve was assessed to compare prognostic accuracy between models with and without PROs.

95 rug responses in cancer cell lines with high accuracy but also identify features and explainable inte

96 CHINA, and LICHeE showed the highest overall accuracy, but none of the methods performed well for all

97 t) they are unrelated, and (2) improving its accuracy by correcting inference errors using pedigree s

98 95.47%, the results obtained report 0.87 on accuracy by decision tree, 0.96 by random forest, 0.91 b

99 e-art Q8 accuracy by more than 2-10%, and Q3 accuracy by more than 1-3%, yielding the most accurate m

100 brid approach boosts the state-of-the-art Q8 accuracy by more than 2-10%, and Q3 accuracy by more tha

101 100% accuracy can be achieved using a multivariate logistic r

102 The diagnostic accuracy can be improved by assessing the breast tissue

103 open-access and commercial tools, achieving accuracy close to the expected level of noise in trainin

104 ur fully automated system achieved levels of accuracy comparable to currently available, manually adm

105 rCl and eGFR) also offered modestly improved accuracy compared with CrCl alone, as measured by the pr

106 tagenomic samples and the estimated assembly accuracy could be misleading due to the unknown genomes

107 c models to determine the minimum diagnostic accuracy criteria for NITs to diagnose cirrhosis with eq

108 for controls, P = 0.009) and reduced saccade accuracy (direction bias = 7.4 +/- 1.8 versus 6.5 +/- 1.

109 force dysmetria but display better temporal accuracy during fast goal directed contractions.

110 multiple validation sets with globally good accuracy, especially after data optimization.

111 possibilities for refined 3D reconstruction accuracy evaluation, availability of such data is limite

112 tems, may be essential for understanding the accuracy, flexibility, and dynamics of human visual reco

113 sion CMR and LGE imaging had high diagnostic accuracy for CAD in 2 phase 3 clinical trials.

114 was not affected by disease prevalence (93% accuracy for common vs 85% for rare diseases; P = .26).

115 The binary accuracy for detecting a fracture of this model was 93.7

116 ry density parameters showed good diagnostic accuracy for detecting glaucoma in ED patients, their di

117 n pore with improved signal and base-calling accuracy for homopolymer regions.

118 positive and negative predictive value, and accuracy for LNM detection on (68)Ga-PSMA PET/CT in the

119 We also report high accuracy for long reads even at relatively low coverage

120 pling and contact information, achieved such accuracy for only 14 out of 43 domains.

121 The average classification accuracy for pairwise separation is 99% with just over 3

122 therapy, but these features lack sufficient accuracy for predicting disease relapse.

123 e associated with improvements in diagnostic accuracy for the staging and response assessment of skel

124 accuracy from eye movement features and 78% accuracy from combined features.

125 th 73% accuracy from kinematic features, 70% accuracy from eye movement features and 78% accuracy fro

126 Our models predicted diagnosis with 73% accuracy from kinematic features, 70% accuracy from eye

127 tematically selected set of clinical trials (accuracy > 84% for predicting statistically significant

128 ring long reads (>10 kbp) with high per-base accuracy (>99.9%).

129 Accuracy has been improved more than twofold and this im

130 lk, spatial resolution, spatial registration accuracy, image uniformity, image noise, and image quali

131 n values approach the theoretical limits for accuracy imposed by natural variability in these metrics

132 LinearPartition also leads to a small accuracy improvement when used for downstream structure

133 ed from single-trial EEG responses with high accuracy in both older hearing-impaired listeners and ag

134 single-channel Ca(2+) nanodomains with great accuracy in broad regions of parameter space.

135 deep learning model, which demonstrates high accuracy in EGFR mutation status prediction across patie

136 Radiomic analysis achieved moderate accuracy in identifying MMR-D and TMB-H ECs directly fro

137 ce type of traditional 7-gene MLST with 100% accuracy in less than 10 seconds per isolate.

138 avoids having to compromise on speed, noise, accuracy in lifetime measurements and provides powerful

139 eneration optoacoustic method to impart high accuracy in resolving tumor hemodynamics during bevacizu

140 l showed similar O:E ratios, suggesting high accuracy in risk prediction using current models.

141 up and the average multiclass classification accuracy is 93%.

142 FC can accurately determine the CSR, and the accuracy is comparable to that of flow cytometry.

143 In a behavioral study, we found that memory accuracy is enhanced selectively for unexpected highly s

144 We observe that the accuracy is mainly limited by the imprecision related to

145 r teleoperation tasks requiring high control accuracy, it is essential to provide teleoperators with

146 the relationship between movement speed and accuracy, known as the speed-accuracy tradeoff.

147 isciplines and methods, the model had strong accuracy levels of 0.65 to 0.78.

148 Here, we test whether greater temporal accuracy occurs in all individuals with SCA6, and can be

149 d CT and MRI datasets with demonstrated test accuracies of 85.3%, 83.3%, and 87.8%, respectively.

150 on index (cAIx) estimates with precision and accuracy of (2.0 +/- 3.7) mmHg and (1.4 +/- 6.2)% respec

151 model had an average F1 score of 0.70 and an accuracy of 0.71 for the full test set.

152 versus a range of 0.105 to 0.180 and higher accuracy of 0.844 (95% CI, 0.798-0.886) versus a range o

153 of CT pulmonary angiography had a predictive accuracy of 0.90 (95% CIs: 0.78-1.00) for pulmonary embo

154 odel achieved a superior performance with an accuracy of 0.900, an F-value of 0.903, Matthew's correl

155 tional access routes were identified with an accuracy of 22 of 25 (88%), 23 of 25 (92%), and 24 of 25

156 The accuracy of 3D phasor tracking was extensively tested an

157 ifty-nine studies (n = 38 531) addressed the accuracy of 49 screening instruments to detect cognitive

158 a with a mean average precision and balanced accuracy of 71.9% and 71.4%, respectively.

159 with CONT as a "positive" diagnosis), and an accuracy of 78%, PPV of 76% and NPV of 81% for the diagn

160 An optimal cutoff of 278.9 mL yielded accuracy of 84%, sensitivity of 82%, specificity of 93%,

161 (grey matter fraction and MMSE), obtained an accuracy of 88%.

162 Compared to the GS, SKIE achieved a grading accuracy of 90% and substantial agreement (linear-weight

163 stinguish tumors from normal samples with an accuracy of 90% for Pan-Cancer and reach an average 94%

164 with 1000 samples or more per cluster has an accuracy of 90% or better for both identification and pr

165 There was an overall accuracy of 92.6% in the training set and 78.5% in the v

166 ied and decalcified coccolithophores with an accuracy of 94.1%.

167 different stimulation conditions with a test accuracy of 94.66%, and we investigated the cortical act

168 An accuracy of 98%, positive predictive value (PPV) of 86%

169 ically, Our method achieves state-of-the-art accuracy of 99.15% on Human protein reference database (

170 retrospective cohort study of the predictive accuracy of a previously validated polygenic risk score

171 ieves superior performance in the number and accuracy of annotations while simultaneously minimizing

172 on of clinical syndrome may help improve the accuracy of ATN designations for identifying true non-am

173 The accuracy of chemical structure prediction enables the de

174 Our data suggests that the diagnostic accuracy of CT-FFR in this cohort potentially enables it

175 volunteers reported their confidence in the accuracy of decisions they made or decisions they observ

176 gorithm and machine learning, from which the accuracy of detection of positive tuberculosis patients

177 emission computed tomography can improve the accuracy of diagnosis when the presence of parkinsonism

178 studies in nonhuman primates, we examine the accuracy of diffusion magnetic resonance imaging tractog

179 The accuracy of distance determination was limited mostly by

180 Control analyses showed that higher decoding accuracy of ECoG compared with local field potential was

181 liminate sequencing errors, but the relative accuracy of error correction algorithms remains unknown.

182 With the abovementioned improvements, the accuracy of FEP predictions of protein stability over a

183 The accuracy of fluorine-18-fluorodeoxyglucose positron emis

184 The high-resolution and mass accuracy of Fourier transform mass spectrometry (FT-MS)

185 The accuracy of global visual field indices estimate is impr

186 Here we build on recent achievements in the accuracy of image-based AI for skin cancer diagnosis to

187 rning algorithms may increase the prediction accuracy of immunogenic peptides.

188 ublished an organized system to quantify the accuracy of intraocular lens (IOL) power calculation for

189 The diagnostic accuracy of KLK8 in CSF and blood was determined using r

190 global reading performance (i.e., speed and accuracy of lexical and sublexical reading).

191 loped a method, FamANC, that can improve the accuracy of local ancestry inference in large pedigrees

192 Feature selection can improve the accuracy of machine-learning models, but appropriate ste

193 ide datasets that can be used to improve the accuracy of MHC-II binding prediction algorithms, and po

194 I-rev (cancer corrected) did not improve the accuracy of morbidity and mortality prediction.

195 ) model was constructed, giving a prediction accuracy of more than 95%.

196 op two, and top three differential diagnoses accuracy of neuroradiologists and exceeded that of less-

197 is study aimed to investigate the diagnostic accuracy of orbital imaging to diagnose orbital inflamma

198 ch further supported the high efficiency and accuracy of our library and revealed many so far unchara

199 nd correlation analysis can help improve the accuracy of our model.

200 We found that the speed and accuracy of performance of rats on olfactory decision ta

201 The accuracy of prediction in each pulmonary vein computed t

202 error of 1.11 kcal/mol, comparable with the accuracy of previously published state-of-the-art small-

203 ide a marker of performance, we evaluate the accuracy of primary care physicians to categorize skin l

204 nalysis was used to determine the diagnostic accuracy of quantitative metrics, using visual grading a

205 termined, for the first time, the diagnostic accuracy of quantitative micro-elastography (QME), an op

206 bstantial within-individual variation on the accuracy of reporting.

207 r polygenic background is likely to increase accuracy of risk estimation for individuals who inherit

208 enty-five studies (n = 15 785) evaluated the accuracy of screening tests; across individual studies a

209 The resolution and accuracy of single-molecule localization microscopes (SM

210 ates that it will be crucial to evaluate the accuracy of such models critically and systematically.

211 0 samples were also sequenced to confirm the accuracy of the assays.

212 one, with an accuracy that is similar to the accuracy of the auditory perception of whispered sounds,

213 We evaluated the accuracy of the BD MAX multidrug-resistant (MDR)-TB assa

214 the proposed model surpasses the statistical accuracy of the Galton-Watson model, which is the most c

215 Accuracy of the method verified using certified referenc

216 The accuracy of the model was tested on an external validati

217 The results indicate a high accuracy of the prediction model in the shortest possibl

218 But, such advantages depend on the accuracy of the reconstruction which, absent gold standa

219 and Xpert-like tests in ACF, relating to the accuracy of the reference standard under such conditions

220 8% sensitivity, 95.2% specificity, and 94.3% accuracy of the smartphone-based PD platform for detecti

221 OCT did not improve the diagnostic accuracy of the TECS protocol when compared with an FTF

222 The diagnostic accuracy of the test was compared with that of measureme

223 tent may therefore significantly improve the accuracy of the traditional skin score in patients with

224 Overall classification accuracy of the validation set (n = 300) was 99.3% (98.3

225 analysis use simulated data to evaluate the accuracy of these methods.

226 Herein, we aim to further validate the high accuracy of this metabolomics test and to determine if t

227 o understand which factors may influence the accuracy of this metabolomics-based test in a clinical s

228 The applicability and accuracy of this method, however, heavily depends on the

229 We aimed to determine the diagnostic accuracy of three-dimensional magnetic resonance elastog

230 alternative HBV screening strategies and the accuracy of tools to identify persons at increased risk.

231 s in MI agents and technology to improve the accuracy of tumor detection, interrogate tumor heterogen

232 , radiologists achieved a maximum diagnostic accuracy of up to 0.87 (95% CI, 0.78-0.93) when consider

233 The overall accuracy of VNC images from SDCT is high and independent

234 aracterized a CCS prediction model with high accuracy on diverse chemical structures.

235 genomes improves gene expression prediction accuracy on held out and variant sequences.

236 thods that do not discard data and have high accuracy on large heterogeneous datasets are needed.

237 nd Jastrow wave functions, reaching chemical accuracy or better.

238 c constructs, also provide better prognostic accuracy over time and in addition lead to enhancements

239 not intending to swarm with a high degree of accuracy, over 90% for each method, with successful swar

240 Model accuracy, precision and recall for endoleak diagnosis we

241 rent performance criteria such as linearity, accuracy, precision, and quantitation limit.

242 sensible RNA-seq pipelines for the improved accuracy, precision, and reliability of gene expression

243 approach was demonstrated to offer improved accuracy, precision, and sensitivity compared to traditi

244 ternal mRNA m7G sites, a sequence-based high-accuracy predictor, the first web server for assessing t

245 NA capture, achieving highest mRNA detection accuracy (R = 0.955) and comparable sensitivity.

246 For CNN-LSTM model, the mean accuracy ranged from 0.62 to 0.75 and the mean AUC range

247 eased standing times of 120 and 240 min with accuracies ranging from 85.5 to 88.0%, because the top d

248 RSDs < 10%, reproducibility RSDs < 20%, and accuracy ranging from 75 to 118% and from 82 to 120 % fo

249 Rating Scale (HAMA), and mean reaction time/accuracy rate (DeltaMRT) of emotional Stroop test were m

250 C is to improve polymerase processivity and accuracy, rather than uniquely to antagonize the type I

251 entification and prediction while prediction accuracy scales weakly with the number of lead days.

252 ra from 2 independent institutions, reaching accuracies, sensitivities, and specificities of 84% and

253 The unique molecular detail, accuracy, sensitivity, and dynamic range combined in a 2

254 he state of the field-AlphaFold created high-accuracy structures (with template modelling (TM) scores

255 Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) was followed for reporting

256 Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) was applied for assessing

257 0.18) compared to radiographs with a higher accuracy than conventional MR imaging.

258 nservation cost with up to 8.5 times greater accuracy than earlier proxies.

259 With a detection accuracy that exceeded 95%, the algorithm has shown supe

260 e with somatosensory feedback alone, with an accuracy that is similar to the accuracy of the auditory

261 F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation.

262 We expect this increased accuracy to enable insights into the function and malfun

263 V method has similar training and validation accuracy to nCV, but cnCV has much shorter run times bec

264 model alone performed with equal or superior accuracy to the model based on clinical comorbidities.

265 ak, solid-state SPECT/CT imaging provided an accuracy to within approximately 20% of in vivo urinary

266 ement speed and accuracy, known as the speed-accuracy tradeoff.

267 Yet, their accuracy typically suffers from strong sensitivity to in

268 For UBM, sensitivity, specificity, and accuracy values were 82.6% (95% CI 62.86-93.02), 57.9% (

269 The reproducibility, accuracy, variability, and performance of imaging metric

270 her IE imaging modality, although diagnostic accuracy varies across observational studies and types o

271 mutant/1p19q codeleted), the classification accuracy was 40 of 49 gliomas (82%; 95% CI: 71%, 92%) fo

272 Accuracy was assessed by analysis of SRM (Standard Refer

273 Quantification accuracy was assessed with Dice scores, group comparison

274 like sway minimisation, development of force accuracy was associated with learning and reduced falls.

275 ptimal combination of biomarkers, diagnostic accuracy was determined using area under the receiver op

276 Diagnostic accuracy was evaluated by the agreement with histology u

277 Accuracy was evaluated by using the Dice similarity coef

278 Accuracy was found to be better for foils of high simila

279 uence of multiple system parameters on ACTIS accuracy was investigated.

280 Accuracy was lower for the similar trials than for the d

281 ng glaucoma in ED patients, their diagnostic accuracy was only modest in AD patients.

282 The best prediction accuracy was reached by combining (18)F-FDG PET, amyloid

283 f HIV-associated comorbidities with 92% mean accuracy was realized using the PASS program.

284 Model accuracy was similar when ALVEOLI (AUC, 0.94; 95% CI, 0.

285 The assay accuracy was validated by titration of 10-80% mixture of

286 detect subgingival calculus with the laser (accuracy) was 0.82 (CI(0.025) 0.74 to CI(0.975) 0.88).

287 To achieve high accuracy, we performed a large number of expert-based an

288 Means for inter-rater reliability and accuracy were all the same (p = 0.001).

289 tic (ROC) curves; Area Under Curve (AUC) and accuracy were calculated and compared using Wilcoxon sig

290 Sensitivity, specificity, and accuracy were evaluated for each finding.

291 The AUC and accuracy were significantly greater using the ANN compar

292 m differential expression analysis with high accuracy when applied to the Cancer Genome Atlas dataset

293 PCR was used as a screening tool with great accuracy, while internal transcribed spacer (ITS) and D1

294 results of unobserved experiments with high accuracy, while making no assumptions about the dynamics

295 technical precision (CV = 7.7%, n = 45) and accuracy with a mean recovery of (93 +/- 3%) for urinary

296 Studies evaluating MRI accuracy with a pragmatic algorithm and prespecified thr

297 rall, enetLTS had the best outlier detection accuracy with false positive rates < 0.05 and high sensi

298 actors associated with psychiatric recording accuracy, with multiple imputation for missing data.

299 The qualified calibration curve (accuracy within 8% and 2% for measuring degradations of

300 Winnowmap improves mapping accuracy within repeats and achieves these results with