ライフサイエンスコーパス: ROC analysis

1 y to evaluate a model with binary data using ROC analysis.

2 is screening method were established through ROC analysis.

3 ore than 11.5 mIU/mL based on results of the ROC analysis.

4 cantly outperform visual assessment based on ROC analysis.

5 rmined by receiver operating characteristic (ROC) analysis.

6 multicase receiver operating characteristic (ROC) analysis.

7 d by using receiver operator characteristic (ROC) analysis.

8 for the receiver operating characteristics (ROC) analysis.

9 ured with receiver operating characteristic (ROC) analysis.

10 ated with receiver operating characteristic (ROC) analysis.

11 based on receiver operating characteristic (ROC) analysis.

12 imated by receiver operating characteristic (ROC) analysis.

13 ated with receiver operating characteristic (ROC) analysis.

14 by using receiver operating characteristic (ROC) analysis.

15 means of receiver operating characteristic (ROC) analysis.

16 f-fit and receiver operating characteristic (ROC) analysis.

17 means of receiver operating characteristic (ROC) analysis.

18 ing receiver-operating characteristic curve (ROC) analysis.

19 ysis, and receiver operating characteristic (ROC) analysis.

20 ssed with receiver operating characteristic (ROC) analysis.

21 ined with receiver operating characteristic (ROC) analysis.

22 -qPCR and receiver operating characteristic (ROC) analysis.

23 means of receiver operating characteristic (ROC) analysis.

24 y using a receiver operating characteristic (ROC) analysis.

25 odels and receiver operating characteristic (ROC) analysis.

26 sed using receiver operating characteristic (ROC) analysis.

27 come of a receiver operating characteristic (ROC) analysis.

28 ed using receiver operating characteristics (ROC) analysis.

29 ined with receiver operating characteristic (ROC) analysis.

30 test, and receiver operating characteristic (ROC) analysis.

31 gnosis by receiver operating characteristic (ROC) analysis.

32 by using receiver operating characteristic (ROC) analysis.

33 compression levels was demonstrated by using ROC analysis, a significant decrease in sensitivity was

34 rkers had an area under the curve of 0.8 for ROC analysis and a sensitivity and specificity of 0.7 an

35 We then used these lead candidates for ROC analysis and found multiple biomarkers with values a

36 ROC analysis and other statistical studies revealed that

37 nalized logistic regression, evaluated using ROC analysis and validated in an independent cohort of c

38 Receiver operating characteristic (ROC) analysis and continuation ratio logistic regression

39 h using a Receiver Operating Characteristic (ROC) analysis and obtain an area under the ROC curve of

40 d using a receiver operating characteristic (ROC) analysis and was expressed as the area under the cu

41 by using receiver operating characteristic (ROC) analysis and were evaluated in a train, validate, a

42 variance, receiver operating characteristic (ROC) analysis, and exact tests.

43 ated with receiver operating characteristic (ROC) analysis, and interobserver agreement was measured

44 In the ROC analysis, areas under the curve for discriminating l

45 test, chi(2) test, logistic regression, and ROC analysis, as appropriate, with significance set at p

46 sted with receiver operating characteristic (ROC) analysis by using the jackknife method.

47 ly relevant bleeding on Cox regression or on ROC analysis (c-index: 0.50; p = 0.87).

48 By receiver operating characteristics (ROC) analysis, cFFR provided better diagnostic performan

49 Receiver operating characteristic (ROC) analysis compared the interval increase with the RV

50 ROC analysis confirmed that HYB significantly increases

51 Receiver operating characteristic (ROC) analysis confirmed that both measures detected resp

52 ROC analysis demonstrated a greater area under the curve

53 ROC analysis demonstrated case experience and trainee le

54 ROC analysis demonstrated high accuracy for tumor detect

55 ROC analysis demonstrated significantly higher area unde

56 A receiver operating characteristic (ROC) analysis demonstrated that the SUV distinguished re

57 Receiver operating characteristic (ROC) analysis demonstrated that this integrated EV doubl

58 ROC analysis demonstrates similarities in the distributi

59 An ROC analysis designed to detect hyperopia >5 D in any me

60 Receiver Operating Characteristic (ROC) analysis determined effectiveness of HbA1c and FPG

61 Receiver operator characteristic (ROC) analysis determined that a 45% catheter to vein rat

62 d t test, receiver operating characteristic (ROC) analysis, discriminant function analysis (DFA), lea

63 means of receiver operating characteristic (ROC) analysis, dual-phase helical computed tomography (C

64 Receiver-operating characteristic (ROC) analysis equated the tests for specificity (80%, 90

65 ROC analysis for differentiation between HGG and LGG (TB

66 ROC analysis for identification of patients with VT show

67 ROC analysis for SULmax/liver improved test specificity

68 At a specificity of 95%, summary ROC analysis for the 250-microg cosyntropin test yielded

69 Receiver operating characteristic (ROC) analysis for MIP and VIR images demonstrated excell

70 by using receiver operating characteristic (ROC) analysis, for the capacity to discriminate between

71 Receiver operating characteristic (ROC) analysis further confirms the best performance of t

72 e spermatozoa, a cutoff value established by ROC analysis, had their chance of fathering children by

73 The ROC analysis identified a criterion value of 6.3% for th

74 ROC analysis identified baseline BUN (P = .026, area und

75 ROC analysis identified patients with LS value higher th

76 The ROC analysis identified RBP4 as a sensitive identifier o

77 d by using receiver operator characteristic (ROC) analysis, including area under the ROC curve (A(z))

78 According to ROC analysis independent predictors of residual flow wer

79 Results of ROC analysis indicated that detection of hardware compli

80 The measurement of assay performance by the ROC analysis indicated that there were statistically sig

81 ROC analysis is widely used in radiologic research, conf

82 Receiver operating characteristic (ROC) analysis, Kaplan-Meier curves, and Cox proportional

83 At ROC analysis, NGAL showed high sensitivity and specifici

84 bone marrow lesions in both knees, and using ROC analysis, no individual structural feature discrimin

85 ROC analysis of mean log OTMs, for cancers plus precance

86 ROC analysis of relative CBF in the PCC enabled discrimi

87 benignity or malignancy were determined, and ROC analysis of results for the entire nonpheochromocyto

88 ROC analysis of thalamic volumes of the patients with AV

89 ROC analysis of the accuracy of the curvature ratio for

90 Receiver Operator Characteristic (ROC) analysis of an artificial test set allows the optim

91 Receiver-operating characteristic (ROC) analysis of classifier score measured by real-time

92 Receiver operating curve (ROC) analysis of the EM properties for cancers among sub

93 ned using receiver operating characteristic (ROC) analysis of the spike-count distribution at each IT

94 Receiver operating characteristic (ROC) analysis of tumor size and transfer constant change

95 multicase receiver operating characteristic (ROC) analysis of variance.

96 The ROC analysis produced an area under the curve of 0.87, i

97 RR(2)HAGES and ATRIA scores, as reflected by ROC analysis, reclassification analysis, and decision-cu

98 ROC analysis requires the choice of a reference ITD from

99 ROC analysis revealed accurate identification (compared

100 ROC analysis revealed an area under the ROC curve of 0.8

101 The ROC analysis revealed an inflection point of plots of th

102 Receiver operating characteristic (ROC) analysis revealed that MACC1 mRNA abundance is a go

103 NOVA) and receiver operating characteristic (ROC) analysis revealed that the peak height ratios were

104 Receiver operating characteristic (ROC) analysis, revealed no significant difference in the

105 ROC analysis showed a significant discriminatory accurac

106 ROC analysis showed excellent discriminating accuracy of

107 ROC analysis showed that miR-23b expression can distingu

108 ROC analysis showed that the areas under the ROC curve (

109 In the forme fruste eyes, the ROC analysis showed that the AUC values of the mean K, t

110 evaluation strategy disallowed the use of a ROC analysis, so instead we compared the fraction of act

111 d 70% (angiographic source images) (P = .04, ROC analysis); specificity was 100% for both.

112 In ROC analysis, the magnetic resonance (MR) imaging and MR

113 Using ROC analysis, the OKAP examination taken at the third ye

114 means of receiver operating characteristic (ROC) analysis, the ability of 11 observers to detect pat

115 Based on the ROC analysis, there were no satisfactory cut-off values

116 Adding K(trans) to ADC in ROC analysis to differentiate CG carcinoma from SH incre

117 zed with conditional logistic regression and ROC analysis to investigate changes in interpretation.

118 applied a receiver operating characteristic (ROC) analysis to assess the role of intraindividual vari

119 ssed with receiver operating characteristic (ROC) analysis to generate an area under the ROC curve (A

120 luated by receiver operating characteristic (ROC) analysis to quantify diagnostic accuracy.

121 sion, and receiver operating characteristic (ROC) analysis to quantify the relationship between ring

122 ated with receiver operating characteristic (ROC) analysis, using tumor response at 6 months accordin

123 By ROC analysis, V(alt) = 2.6 microV in late repolarization

124 y of 56%, specificity was 93% and the AUC on ROC analysis was 0.86.

125 ROC analysis was performed to determine the optimal rCBV

126 th detectable salbutamol (p(corr) > 0.5) and ROC analysis was performed to measure the predictive pot

127 acterized as a dysplastic nodule or HCC, and ROC analysis was performed.

128 ROC analysis was used to determine the predictive value

129 ROC analysis was used to evaluate the diagnostic value o

130 Receiver operating characteristics (ROC) analysis was applied for a combination of 4 VOCs (h

131 Receiver operating characteristics (ROC) analysis was applied for a combination of six VOCs

132 Receiver operating characteristics (ROC) analysis was applied for the combined VOCs of aceta

133 Receiver operating characteristic (ROC) analysis was done, and areas under the curves were

134 orrelated receiver operating characteristic (ROC) analysis was employed to assess radiologist perform

135 Receiver operating curve (ROC) analysis was employed to identify pretreatment feat

136 Receiver operating characteristic (ROC) analysis was generated to set optimal thresholds; a

137 ified and receiver operating characteristic (ROC) analysis was performed to assess sensitivity and sp

138 Receiver operating characteristic (ROC) analysis was performed to assess the accuracy of DW

139 Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic val

140 Receiver operating characteristic (ROC) analysis was performed to compare mean attenuation

141 Receiver operating characteristic (ROC) analysis was performed to compare the detection of

142 A receiver-operator characteristic curve (ROC) analysis was performed to determine an optimal GCB

143 Receiver operating characteristic (ROC) analysis was performed to determine how well each m

144 Receiver-operating-characteristic (ROC) analysis was performed to determine optimal cut-off

145 Receiver operating characteristic (ROC) analysis was performed to determine the optimal inh

146 Receiver operating characteristic (ROC) analysis was performed to determine the optimal thr

147 Receiver operating characteristic (ROC) analysis was performed to differentiate between the

148 W and RPW receiver operating characteristic (ROC) analysis was performed to evaluate the strength of

149 Receiver operator characteristic (ROC) analysis was performed to identify cutoff SUV value

150 Receiver operating characteristic (ROC) analysis was performed to identify optimal threshol

151 cale, and receiver operating characteristic (ROC) analysis was performed.

152 Receiver operating characteristic (ROC) analysis was performed.

153 Receiver operating characteristic (ROC) analysis was then used to test the discriminatory p

154 Receiver operating characteristic (ROC) analysis was used to compare the accuracy of type I

155 Receiver operating characteristics (ROC) analysis was used to determine the area under the R

156 Receiver operating characteristic (ROC) analysis was used to determine the diagnostic accur

157 Receiver operating characteristic (ROC) analysis was used to evaluate observer performance.

158 Receiver operating characteristic (ROC) analysis was used to evaluate performance differenc

159 Receiver operating characteristic (ROC) analysis was used to evaluate the accuracy of these

160 Receiver-operating-characteristic (ROC) analysis was used to evaluate the results.

161 Receiver operating characteristic curve (ROC) analysis was used to examine the sensitivity and sp

162 Receiver-operating characteristic (ROC) analysis was used to quantify prediction accuracy.

163 analysis, receiver operating characteristic [ROC] analysis) was performed.

164 dels, and receiver operating characteristic (ROC) analysis were used to assess associations of kynure

165 t compounds, with 130 agonists identified by ROC analysis when seeded in 2175 non-agonist ligands of

166 the receiver-operating characteristic plot (ROC) analysis which indicated that 16.95 units was the m

167 Compared with bioluminescence, ROC analysis with 25% and 30% weight loss as thresholds

168 ted in the unit square) values obtained from ROC analysis with and without CAD output were 0.940 and

169 radiologists' performance was evaluated with ROC analysis with two different methods (independent tes

170 ROC analysis yielded an optimal cut-off value of 2.245 (

171 ROC analysis yielded an optimal cutoff of 2.5 for TBR(ma

172 ROC analysis yielded diaschisis thresholds of 0.62 for T