ライフサイエンスコーパス: scoring

1 , and Consolability Scale were used for pain scoring.

2 macrocalcification quantified using Agatston scoring.

3 ific mRNA markers and computation of digital scoring.

4 quality was assessed on the basis of Likert scoring.

5 dissection, stomach content and liver colour scoring.

6 ing behavior, eliminating the need for human scoring.

7 egular fragment ions are indexed and used in scoring.

8 rch Council (mMRC) dyspnea scale and Epworth scoring.

9 meters for direct damage and indirect damage scoring.

10 by next-generation sequencing and relevance scoring.

11 us dominance and BV, as determined by Nugent scoring.

12 uded an approach for large-scale germination scoring.

13 sequestered data from all three systems for scoring.

14 e changes on molecular imaging PSMA (miPSMA) scoring.

15 inclusion of MTV observations in prognostic scoring.

16 le underwent histopathological analyzing and scoring.

17 lenge of arriving at a consensus on rankings/scorings.

18 pe ratio to generate intermediate and global scorings.

19 were generated by 'biomod2', with 21 models scoring a true skill statistic (TSS) >0.8.

20 ormance of a DL method for automatic calcium scoring across a wide range of CT examination types and

21 gnificantly: Eczema Area and Severity Index, SCOring AD, Patient-Oriented Eczema Measure, pruritus sc

22 c architecture, estimated via polygenic risk scoring (AD-PRS).

23 pping system consisting of a Wikipedia-based scoring algorithm and a named entity normalization metho

24 basis of these observations, we developed a scoring algorithm based on the sequence identity at pola

25 A new scoring algorithm for emergent chemotherapy in patients

26 Conclusion A deep learning calcium scoring algorithm for quantification of coronary and tho

27 institutions, we show that the automated TIL scoring algorithm separates patients into favorable and

28 models, its speed, and the use of efficient scoring algorithms to prioritize preannotated markers an

29 ree algorithm guaranteed to find the highest-scoring alignment for real sequencing reads to a linear

30 considered (via PBT, PMT, or PBMT composite scoring), all six flame retardants have at least one tra

31 using partial credit, which is analogous to scoring an academic test, assigning 100% to the most des

32 ysis, (v) meta-analysis, (vi) polygenic risk scoring and (vii) replication analysis.

33 nts at all visits included Gram stain Nugent scoring and 16S rRNA gene qPCR and HiSeq sequencing.

34 rogress has been made to this end via visual scoring and chlorophyll fluorescence; however, these app

35 Coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CC

36 on signature creation, drug reversal potency scoring and in silico validation.

37 Propensity scoring and multivariable models were used to assess the

38 ociation testing, followed by polygenic risk scoring and phenome-wide screening, to identify genetic

39 The TIP3P water model yielded the highest scoring and ranking power compared to the others.

40 ized force fields provided the most accurate scoring and ranking results.

41 ity dimension for both signal extraction and scoring and thereby increase the specificity for precurs

42 L and manual (Agatston) CAC and (volume) TAC scoring and with linearly weighted kappa values for card

43 uding Kidney Donor Profile Index and Remuzzi scoring, and analyzed tissue from a minimal sample cohor

44 equilibrium score regression, polygenic risk scoring, and two-sample Mendelian randomization (MR) ana

45 lar, we developed a chemical complementarity scoring approach to classify tumors based on the complem

46 Here, using a meta-scoring approach, we develop a metaGRS for ischaemic str

47 iScore ranks among the top scoring approaches on the CAPRI score set (13 targets) w

48 d the best cognitive function in later life, scoring approximately 0.63 (95% confidence interval (CI)

49 stem's use of deep-learning-based confidence scoring as a criterion to consider the result as accurat

50 All participants underwent CAC scoring at baseline, and CAC scores were stratified as =

51 computed tomography angiography and calcium scoring at one year.

52 riented Eczema Measure, the Patient-Oriented Scoring Atopic Dermatitis, the Patient-Oriented Scoring

53 ring Atopic Dermatitis, the Patient-Oriented Scoring Atopic Dermatitis-itch, the Patient-Oriented Sco

54 Atopic Dermatitis-itch, the Patient-Oriented Scoring Atopic Dermatitis-sleep, and the Numerical Ratin

55 xds) and binary classification based doublet scoring (bcds).

56 ectral quality and subsequent database match scoring but also increased the recovery of the analytes,

57 nancy complications and are often based upon scoring by pathologists.

58 ided incremental value over CHA(2)DS(2)-VASc scoring (C statistics, 0.78-0.81; P=0.006) for ischemic

59 screens, however, only about 12% of the top-scoring compounds actually show activity when tested in

60 e burden using coronary artery calcium (CAC) scoring, coronary CT angiography, and MRI of the carotid

61 pathologically specific when using existing scoring criteria and their use is recommended for optima

62 erican Academy of Sleep Medicine (AASM) 2012 scoring criteria to identify obstructive sleep apnoea, a

63 ded the heart: coronary artery calcium (CAC) scoring CT, diagnostic CT of the chest, PET attenuation

64 identification: Co-expression based doublet scoring (cxds) and binary classification based doublet s

65 Here we present iScore, a novel approach to scoring docked conformations that combines HADDOCK energ

66 y, topological and energetic information for scoring docked conformations.

67 summary documents and short-listed drugs by scoring each one of them.

68 When stratified further by VTE risk scoring, even the highest risk patients did not have an

69 The MMSplice modules are neural networks scoring exon, intron, and splice sites, trained on disti

70 album PI, respectively, whereas, amino acid scoring (FAO, 2013) indicated, isoleucine, leucine and v

71 rneal staining, static and dynamic validated scoring for facial palsy patients, and complications.

72 itial inflammation in the kidneys as well as scoring for glomerulonephritis activity.

73 clear families, the majority of children top-scoring for height are not the tallest.

74 Risk scoring for patients with cirrhosis has evolved greatly

75 than 7,000 oocytes from 160 tissue samples, scoring for the number of foci per cell of the crossover

76 ration method, (5) description of items, (6) scoring format/interpretation, (7) reliability, and (8)

77 er simplified to allow transformation into a scoring formula.

78 -RBP experiments to develop RADAR, a variant-scoring framework.

79 reement rates of 99%, 98%, 93%, and 97% with scorings from five human experts from different labs, es

80 ting approaches have generally used a single scoring function combined with Monte Carlo method or Mol

81 The results demonstrate that a scoring function derived from the experimental data impr

82 fast and accurate PSCP by using an optimized scoring function in combination with a deterministic sea

83 A good scoring function increases the accuracy of deconvoluted

84 the training set has a significant effect on scoring function performance, but does not remove the pr

85 We designed this scoring function specifically for the Challenge to rewar

86 correlation coefficient of the experimental scoring function to the root-mean-square deviation from

87 the-art sequence aligner with a configurable scoring function), by up to 37.7x and 43.9 x (>12x on av

88 and tree decomposition with a well optimized scoring function, which makes FASPR of practical use for

89 tal of 19 computational methods (including 8 scoring function-based methods and 11 machine learning-b

90 s predictive at a level similar to classical scoring functions and it appears to be predicting the me

91 ate that the performance of machine learning scoring functions are consistently improved by the inclu

92 Machine learning scoring functions for protein-ligand binding affinity pr

93 Structure-based scoring functions for universal affinity prediction typi

94 s per peptide plane and filtering by Rosetta scoring functions has yielded a consensus alpha-helical

95 We show that the model outperforms other scoring functions in distinguishing correct envelopes fr

96 Furthermore, different scoring functions in RL were investigated and produced d

97 led mismatch penalties, it can implement the scoring functions of commonly used aligners to calculate

98 th, or superior to, that of state-of-the-art scoring functions on two independent datasets: (i) Docki

99 We argue that most scoring functions used for this task have been developed

100 obtain all capabilities (e.g., configurable scoring functions) of the aligner of their choice, unlik

101 econvolution methods relies heavily on their scoring functions, which distinguish correct envelopes f

102 and outperform other contact-based potential scoring functions.

103 res tested, almost all outperformed existing scoring functions.

104 ws outstanding performance relative to other scoring functions.

105 n found to consistently outperform classical scoring functions.

106 An oncogenic role of the top scoring gene in this signature, SOCS2, was investigated

107 In particular, by scoring germination across a diverse panel of Brassica n

108 Outcomes scoring greater than 69% "critical" and less than 15% "n

109 ) results, consensus was defined as outcomes scoring greater than 90% "critical" and less than 15% "n

110 Those scoring greater than or equal to 25 were included in the

111 e set (13 targets) when compared with the 37 scoring groups in CAPRI.

112 Students scoring >= eight on the Frequency Scale for Symptoms of

113 cale, and all studies were ranked as 'Good', scoring >=7/10.

114 dred individuals from the general population scoring highly for paranoia were recruited.

115 Evaluation of the top scoring hit, Trichostatin A (TSA), demonstrated utrophin

116 We analyze more than 1000 high-scoring human PhyloCSF regions and confidently add 144 c

117 fected KCs and that acetylcholine is the top-scoring in Mtb-infected AMs.

118 Endoscopic disease activity scoring in ulcerative colitis (UC) is useful in clinical

119 vement from baseline in facial Vitiligo Area Scoring Index (F-VASI) at week 24 were re-randomised to

120 verity grading score (SGS), and the severity scoring index (SSI), with mild disease defined as meetin

121 ominant glomerular deposits and histological scoring is done on formalin-fixed paraffin embedded tiss

122 s participated in both rounds of the survey, scoring items with regards to their importance for inclu

123 Logistic regression models estimated ORs of scoring low on 1 of 4 cognitive tests: the Digit Symbol

124 ificant interaction was observed relative to scoring low on the DSST (<34; UMFA; P-interaction = 0.00

125 al folate was associated with higher risk of scoring low on the DSST (OR: 2.16; 95% CI: 1.05, 4.47) a

126 dren were categorised as delayed (defined by scoring < -1 standard deviation below the mean scaled sc

127 pective approach, its brevity and its simple scoring make the AECT ideally suited for clinical practi

128 hout using time-consuming testing or complex scoring matrices.

129 imal cleavage motifs based position-specific scoring matrices.

130 function (ACF) and Bi-gram position-specific scoring matrix (Bi-gram PSSM) are employed to extract pr

131 in proteins-ChaperISM-a position-independent scoring matrix trained on either qualitative or quantita

132 osclerotic CVD event risk, 5% to < 20%), CAC scoring may also provide value in select young patients

133 tes that ornithine and imidazole are two top-scoring metabolites in Mtb-infected KCs and that acetylc

134 We further integrated this model as a scoring method and developed a dynamic programming (DP)

135 is maintained with the Relative Read Support scoring method in SCANVIS, and we showcase some visualiz

136 Here, we present an in silico modeling and scoring method which exploits the structural properties

137 hese challenges by developing RosettaDEER, a scoring method within the Rosetta software suite capable

138 Here, we developed a scoring method, namely functional genomic complexity (FG

139 isk stratifying COVID-19 patients using risk scoring methodology designed for HLH.

140 Although several deep learning (DL) calcium scoring methods have achieved excellent performance for

141 the literature because studies reporting new scoring methods have not validated their models prospect

142 ts meeting severe CDI criteria by 4 severity scoring methods in patients receiving versus not receivi

143 , severity of illness (defined by 4 distinct scoring methods), and clinical outcomes were recorded.

144 meeting severe CDI criteria by four severity scoring methods, in patients receiving versus not receiv

145 ase severity and compared it to standard EAE scoring methods.

146 A modified scoring metric was used.

147 o robustly support social cooperation: Image-scoring models fail to provide robust incentives, while

148 18)F-NaF CMA, outperforming coronary calcium scoring, modified Duke coronary artery disease index and

149 intermediate phenotypes of WS, with the top-scoring module related to neurogenesis and development o

150 ation, coupled with the speed of index-based scoring, MSFragger-Glyco makes it possible to comprehens

151 fluorescence-based singleplex and non-matrix scoring multiplex qPCR assays utilize a hydrolysis probe

152 he clinical significance of even the highest scoring nuclear cataract was negligible.

153 In a large sample undergoing CAC scoring, obesity was associated with a higher risk of CA

154 eloped and subsequently validated, with item-scoring of 0-4 points (>=2 points indicating high risk f

155 atode Caenorhabditis elegans that allows the scoring of animal survival and health measures.

156 Subsequently, the betweenness centrality scoring of each residue from the structure network model

157 were assessed: a weight-length relationship, scoring of external physical damage, and after dissectio

158 he model is able to faithfully predict human scoring of facial normality.

159 Coupled with histopathology findings, scoring of images that contained early-stage neoplasia i

160 with a graphical interface that allows both scoring of miRNA reliability and browsing of supporting

161 Likert scoring of PET/MR images showed no noticeable trend with

162 trate that SeedGerm could match specialists' scoring of radicle emergence.

163 sectioning, confocal microscopy, and manual scoring of specific regions of interest have been used t

164 mune responses were analyzed by histological scoring of the inflammation in tissues and by cytokine p

165 Qualitative visual scoring of tumor conspicuity also showed shorter overall

166 early detection of HCC by performing digital scoring on the purified EVs.

167 Coronary artery calcium scoring only represents a small fraction of all informat

168 eps nor unfixing the receptor atoms improved scoring or ranking power.

169 ese clinical parameters compared with visual scoring (P < .001).

170 vs. 30-50% positives out of the 1000 highest-scoring pairs).

171 t's counter-strategy was weaker, while lower-scoring participants less precisely timed their final mo

172 We found that higher-scoring participants timed their final change in directi

173 Through propensity scoring, patients who received outpatient ID interventio

174 It achieves a scoring performance competitive with, or superior to, th

175 em for docking, presenting the user with top-scoring poses and their confidence scores.

176 ed) scoring was performed to explore maximum scoring potential per sequence.

177 n incorporate sgRNA on-target and off-target scoring predictions into its ranking system, and nominat

178 er of candidate conformations, the so-called scoring problem, remains a major challenge.

179 s to rectify deformations by using a local z-scoring procedure, while preserving relevant geometric i

180 this study, we have devised a new scheme for scoring protein-protein interactions.

181 th semiquantitative histomorphologic ordinal scoring, quantitative IA detected subtle and progressive

182 isk of household tuberculosis in the highest scoring quintile was 31% (95% CI 25-38; 65 of 211) versu

183 s 2% (95% CI 0-4; four of 231) in the lowest scoring quintile.

184 r predictive performance with a conventional scoring (reference) model.

185 Among the top-scoring RNA sequences bound to PGC-1alpha were Foxo1, Ca

186 The scoring scheme incorporates residue-residue contact pref

187 We also benchmarked our scoring scheme on 15 targets from the CAPRI dataset and

188 e the quality of the deconvolution, and many scoring schemes are not published.

189 ts an extensive testing of different MM-GBSA scoring schemes on two bromodomain (BRD) datasets.

190 e constructed structural models, docking and scoring schemes were validated by their ability to rank

191 tistical, physics based and machine learning scoring schemes.

192 as an ideal testing ground for this class of scoring schemes.

193 Banff scoring showed reduced interstitial inflammation and tub

194 ations of player design, analysis of the top-scoring solutions and subsequent game improvement, Foldi

195 Scoring species for fatty acid and metal content resulte

196 Despite advances in sampling and scoring strategies, Monte Carlo modeling methods still s

197 Avant-garde uses a novel data-driven scoring strategy: signals are refined by learning from t

198 sure of asthma severity, the Asthma Severity Scoring System (ASSESS), for adolescents and adults, inc

199 %; P < .0001 vs placebo), the EoE-histologic scoring system (HSS) severity score by 68.3% (P < .0001

200 ntly of the Revised International Prognostic Scoring System (IPSS-R)(11).

201 ording to a Revised International Prognostic Scoring System (IPSS-R).

202 e following scores calculated: NASH clinical scoring system (NCS), aspartate aminotransferase to plat

203 sessed endoscopically according to Rutgeerts scoring system 1 year after surgery.

204 The predictive scoring system accurately predicted 30-day mortality amo

205 l Institute on Aging-Alzheimer's Association scoring system and discusses current evidence on how the

206 Larger studies are needed to validate this scoring system and test strategies to reduce sICH risk a

207 both in Subcho.BP.Th and BV/TV between this scoring system and uCT (r = 0.89, 0.84, respectively).

208 is was determined from a validated biomarker scoring system and vibration-controlled transient elasto

209 Using the NAS histologic scoring system bears the risk of underdiagnosing NASH in

210 andomized clinical trials to determine which scoring system best discriminates overall survival (OS).

211 The EPX histologic scoring system can be used to differentiate children wit

212 Our simple scoring system can reproducibly stratify postnephrectomy

213 proportion of individuals evaluated by each scoring system developed cirrhosis or complications ther

214 The resulting scoring system divided patients with non-advanced mastoc

215 To establish a histopathological scoring system for changes in subchondral bone in murine

216 tions, while providing a rapid, quantitative scoring system for digital histopathology image analysis

217 The implementation of a scoring system for the application of the CCS descriptor

218 gnostic value of a chest radiograph severity scoring system for younger (nonelderly) patients with CO

219 The developed predictive scoring system had 10 predictor variables and 20 points.

220 and nonfatal liver disease, determine which scoring system has the highest level of accuracy, and in

221 We validated this International Prognostic Scoring System in Mastocytosis (IPSM) with data of 462 p

222 edical centres with International Prognostic Scoring System intermediate-1-risk, intermediate-2-risk,

223 Adults with International Prognostic Scoring System intermediate-1/2- or high-risk myelodyspl

224 We conclude that this new histopathological scoring system is readily applicable for evaluating the

225 The scoring system may help targeted TB case finding under b

226 The multistep scoring system of chronic ocular features in SJS/TEN seq

227 We developed a scoring system of mouse refusal to determine thresholds

228 variable led only to a minor improvement in scoring system performance.

229 We believe that this scoring system provides a more automated way to identify

230 score, none to date has used a patient-based scoring system that uses images from both eyes to assign

231 e development and validation of a real-world scoring system to identify those patients most likely to

232 In the Zambian dataset the AUC of the scoring system was 0.66 (95% CI 0.60-0.72).

233 A scoring system was developed from computational analysis

234 e control (measured using a Rhinitis Control Scoring System) and in PAR Quality of life (QoL) (measur

235 ding to the Revised International Prognostic Scoring System) with ring sideroblasts who had been rece

236 We previously developed a scoring system, "PREDICT", that quantifies the risk of I

237 ents underwent medical record, EoE Histology Scoring System, Endoscopic Reference Score, and EoE Diag

238 ection and a newly developed histopathologic scoring system, we observed pathologic correlates early

239 ession, using the derivation set to create a scoring system, with a target sensitivity of at least 90

240 me Study Network (NEPTUNE) Digital Pathology Scoring System.

241 patitis Clinical Research Network histologic scoring system.

242 fibrosis (F) were assessed using the METAVIR Scoring System.

243 y the Gastrointestinal Quality of Life Index scoring system.

244 y on MRI according to a previously validated scoring system.

245 valuate possible enhancements to the current scoring system.

246 tary pattern was graded using the NutriGrade scoring system.

247 tively, p = 0.224) by IDSA-SHEA, the primary scoring system.

248 venile Neuronal Ceroid Lipofuscinosis (JNCL) scoring system.

249 rnational Autoimmune Hepatitis Group (IAIHG) scoring system.

250 ctively; P = .224) by IDSA-SHEA, the primary scoring system.

251 Effusion in Children with Cleft Palate study scoring system; risk of bias and study quality using the

252 using the UK Medical Research Council (MRC) scoring system; we subsequently carried out two independ

253 with validated pre-endoscopic clinical risk scoring systems (the Glasgow-Blatchford score [GBS], adm

254 These recent scoring systems also provide clinicians with user-friend

255 New scoring systems are needed to evaluate risk of fibrosis

256 Scoring systems are suboptimal for determining risk in p

257 Noninvasive scoring systems are used to identify persons with advanc

258 The predictive abilities of all scoring systems decreased with time and were higher in m

259 Although a number of noninvasive tests and scoring systems exist to characterize NAFLD and NASH, li

260 o investigate the predictive capabilities of scoring systems for fatal and nonfatal liver disease, de

261 in the internal validation set; the clinical scoring systems identified patients who met the composit

262 investigate the predictive abilities of the scoring systems in persons with a higher probability of

263 Three scoring systems incorporating simple clinical parameters

264 We applied scoring systems to (123)I-MIBG scanning and (18)F-DOPA P

265 Higher scores from noninvasive scoring systems to evaluate fibrosis are associated with

266 We investigated the ability of scoring systems to identify individuals in the general p

267 Scoring systems to monitor disease progression have been

268 c peak annotation or statistically validated scoring systems to support the characterization/identifi

269 Based on these variables, 2 scoring systems were constructed for risk stratification

270 All scoring systems were more accurate in persons with risk

271 e mean thrombus score using any of the three scoring systems yielded greater scores in patients with

272 Twenty-one (80.8%) policies use scoring systems, and 20 of these (95.2%) use a version o

273 improve the prognostic accuracy of clinical scoring systems, including the quick sequential organ fa

274 ement provides a focused review of VTE, risk scoring systems, prophylaxis, and tracking methods.

275 UGIB and compared its performance with other scoring systems.

276 her widely available, noninvasive prognostic scoring systems.

277 development of clinical-molecular prognostic scoring systems.

278 0% sensitivity, than validated clinical risk scoring systems.

279 icantly lower according to each of the three scoring systems.

280 ng and Data System (CO-RADS) and CT severity scoring systems.

281 ty not always captured by traditional trauma scoring systems.

282 uary to April 2020 were compared using three scoring systems: two systems including all vessels, with

283 Without confidence scoring, the system achieved an accuracy of 78%.

284 orting and Data System version 2 (PI-RADSv2) scoring; the first was biopsy for Likert 5 mpMRI lesions

285 MM-PB/GBSA methods represent a higher-level scoring theory than docking.

286 formations of the purported complex and then scoring these to assess for interaction viability.

287 Italian Program (CLIP) and Taipei Integrated Scoring (TIS) system were two more accurate staging syst

288 ysical spectra comparison method (similarity scoring) to define quantitative acceptance criteria for

289 ing to Food and Drug Administration toxicity scoring, to assess safety; and IgG anti-spike protein re

290 divergent data, we developed an uncertainty scoring tool that can be trained to reproduce specific d

291 ependent blinded assessors using a validated scoring tool.

292 e validated the previously developed PREDICT scoring tools for stratifying risk of IE, and the need f

293 Here we demonstrate the topological scoring (TopS) algorithm for the analysis of quantitativ

294 Specificity of the prospective scoring was 80.0%, 75.0%, 80.0%, 91.1% and 88.3%.

295 PSG scoring was blinded to the automatically analyzed WP dat

296 indices, and a log P model), and a nonlinear scoring was developed to account for R(t) variations obs

297 Next, a retrospective (unblinded) scoring was performed to explore maximum scoring potenti

298 Propensity scoring was used to account for nonrandomized referral t

299 Polygenic risk scoring was used to investigate the genetic relationship

300 angiography and computed tomography calcium scoring, with repeat computed tomography angiography and