ライフサイエンスコーパス: classification system

1 ed by the University of Texas Diabetic Wound Classification system).

2 the gold-standard regions of difference (RD) classification system.

3 ety (ATS)/European Respiratory Society (ERS) classification system.

4 ng cell type has so far defied a generalized classification system.

5 and advanced AMD (n = 765) by the AREDS AMD Classification System.

6 iopsy and classified according to the Vienna Classification system.

7 traditional Anatomical Therapeutic Chemical Classification System.

8 of glycoside hydrolase family 88 in the CAZy classification system.

9 lysaccharide capsules in the current capsule classification system.

10 defined new data analyses needed to refine a classification system.

11 erts was the foundation of the International Classification System.

12 ot correlate with results from the Cambridge classification system.

13 nome-wide experimental data with the PANTHER classification system.

14 ing on the traditional maternal based strain classification system.

15 graded using the American Heart Association classification system.

16 Geographic and Epidemiological Ophthalmology classification system.

17 mily CE-3 carbohydrate esterases of the CAZy classification system.

18 Scales for Children and Gross Motor Function Classification System.

19 photographs using the modified Airlie House classification system.

20 verity of DR using the modified Airlie House classification system.

21 m into one or more errors by using a 22-part classification system.

22 raded according to the modified Airlie House classification system.

23 s were graded according to the Dindo-Clavien Classification System.

24 across all types as defined by the universal classification system.

25 AMD graded according to the Beckman clinical classification system.

26 d according to a new imaging/embryologic MCD classification system.

27 performed to arrange these aggregates into a classification system.

28 this structure and construct a quantitative classification system.

29 ressed and found to be defined with the same classification system.

30 according to the American Heart Association classification system.

31 have been identified, resulting in a revised classification system.

32 rfaces seen at MR imaging by using a similar classification system.

33 ere graded at arthroscopy by using the Noyes classification system.

34 and tumor imaging was developed for the INRG Classification System.

35 spots reflect a simple but effective object classification system.

36 e validity of the DSM-IV-TR eating disorders classification system.

37 m the mark III Multi-Attribute Health Status classification system.

38 Such topology is reminiscent of a classification system.

39 9 months, and 18 months was selected for the classification system.

40 ards to test our hypothesis for the proposed classification system.

41 facilitate the development of an IDOCS-based classification system.

42 verity of DR using the modified Airlie House classification system.

43 uropean Surveillance of Congenital Anomalies classification system.

44 ude lid margin evaluation using a recognized classification system.

45 ancer/Union for International Cancer Control classification system.

46 ons and pedogenic processes based on a given classification system.

47 ents of all CDR structures in the PDB to our classification system.

48 cular features within tumour types from both classification systems.

49 pare prognostic performance of the competing classification systems.

50 ders diagnosed using traditional psychiatric classification systems.

51 were performed to investigate the different classification systems.

52 re accurate outcome prediction, than earlier classification systems.

53 ependent isoform-level gene-expression based classification-system), a novel computational approach t

54 r, there was only 34% concordance for either classification system across laboratories.

55 New classification systems allow for overlap of mechanisms b

56 This classification system, along with a vascular assessment,

57 psychotic disorder show that our diagnostic classification system already reflects, in part, aetiolo

58 The classification system also had perfect classification fo

59 mmon utilization of inadequate or inaccurate classification systems among healthcare providers.

60 First, the new classification system analyzes RHO enzymes as a whole.

61 ntation of a four level (meta)genome project classification system and a simplified intuitive web int

62 A classification system and criteria for OCT-defined atrop

63 ment was analysed between SSPs for the whole classification system and for the five molecular subtype

64 entity in the 2008 World Health Organization classification system and is defined as an EBV-positive

65 tion and/or known genetic cause, the current classification system and nomenclature remain confusing.

66 n the basis of these principles, a molecular classification system and prognostic multigene classifie

67 esis of further POMzites is anticipated, the classification system and terminology introduced here wi

68 ration Task Force for the Redefinition of MI Classification System and the risk of cardiovascular dea

69 y between behavior-based psychiatric disease classification system and the underlying brain dysfuncti

70 de useful information for developing a novel classification system and therapeutic strategies for HNS

71 nomic differences in the current prokaryotic classification system and to delineate the boundary of a

72 ate the options and limitations of the ISGPF classification system and to identify risk factors with

73 s called the Functional Therapeutic Chemical Classification System and was further evaluated against

74 is difficult to establish, because different classification systems and definitions have been employe

75 ed current understanding of risk factors and classification systems and developed recommendations to

76 The findings will be critical for refining classification systems and improving clinical management

77 ssified, using the LanguaL, FoodEX2 and ODIN classification systems and ranked according to quality c

78 hthalmologists to recognize the updated MPGN classification system, and all patients with complement-

79 ed into one out of three-grades in the HOUSE classification system, and concomitantly graded accordin

80 ussed the important components of a clinical classification system, and defined new data analyses nee

81 the European Heart Rhythm Association (EHRA) classification system, and quality of life was assessed

82 invasion, the Barcelona Clinic Liver Cancer classification system, and the 5-gene score in a nomogra

83 as determined according to the IASLC/ATS/ERS classification system, and the percentage of each histol

84 Available protocols, injury classification systems, and issues awaiting future resea

85 n the nosology of ADs, challenges to current classification systems, and prior attempts to subtype in

86 We examined agreement between classification systems, and tested the unidimensionality

87 ant anal sphincter anatomy, imaging methods, classification systems, and treatment objectives.

88 Major limitations of this classification system are absence of prognostic importan

89 Current breast cancer classification systems are based on molecular evaluation

90 er, the methodology and processes underlying classification systems are generally neither specified n

91 These classification systems are not only of prognostic value

92 the Age-Related Eye Disease Study 9-step AMD classification system based on color fundus photographs

93 was achieved in generating a basic clinical classification system based on fundus lesions assessed w

94 d proteome data provides a new brain disease classification system based on molecular etiology and pa

95 discussions at 3 meetings over 12 months, a classification system based on OCT was proposed for atro

96 We propose a refined classification system based on subset-specific B-cell-as

97 Exposure was assessed by wire coding, a classification system based on the distribution line cha

98 the development of a collaborative computer classification system based on the features of age-relat

99 ) are overlapping categories, a hierarchical classification system based on the presence or absence o

100 torially or descriptively, and propose a new classification system based on these findings.

101 reassortment illustrates the inaccuracy of a classification system based solely on antigenic relation

102 ability of ciprofloxacin, a biopharmaceutics classification system (BCS) class 4 drug (low solubility

103 Thirty-three Biopharmaceutics Classification System (BCS) class II and class IV drugs,

104 Fuzzy or soft classification systems benefit from background removal.

105 mputational proteomics and protein structure classification, systems biology and machine learning.

106 ht the changes in the pulmonary hypertension classification system, briefly explore pulmonary hyperte

107 stillbirth causation are impeded by various classification systems, but for 18 countries with reliab

108 Typically one trains a classification system by gathering large amounts of prob

109 f known histology; and (4) validation of the classification system by NBI-trained gastroenterology fe

110 A recent classification system by the Acute Dialysis Quality Init

111 Field trials of diagnostic classification systems can be divided into two types: de

112 licity or Biopharmaceutical Drug Disposition Classification System class and changes in volume of dis

113 ed interconnectivity between six independent classification systems coalescing into four consensus mo

114 prognostic prediction performance using this classification system compared with clinical criteria an

115 The developed two-stage classification system comprising two support vector mach

116 evance to prostate cancer, developed a novel classification system consisting of three distinct subty

117 This revised classification system consists of 5 groups of diseases:

118 Subtypes defined by the different classification systems correlate to some extent, but the

119 cteristics of cancer, a functional proteomic classification system could provide important informatio

120 We consider the CMS groups the most robust classification system currently available for CRC-with c

121 er, which substantially refines the existing classification systems currently used.

122 Taken together, we proposed an easy classification system defined by EpCAM and AFP to reveal

123 Consequently, the AJCC T classification system demonstrated poor discriminatory a

124 In this paper we describe a text-classification system designed to automatically recognis

125 ded according to the OCT-based International Classification System developed by the International Vit

126 efore the implementation of the WHO lymphoma classification system, disagreement about pathologic dia

127 Traditional classification systems do not correlate optimally with u

128 h various phenotypic and research diagnostic classification systems exist and several prognostic mode

129 No universally accepted classification system exists for mandibular defects afte

130 s were graded according to the International Classification System for age-related maculopathy and st

131 s images were graded using the International Classification System for Age-Related Maculopathy.

132 A histopathological classification system for ANCA-associated vasculitis was

133 A consensus classification system for atrophy and OCT-based criteria

134 We propose a new classification system for biological CAs that parallels

135 sample preparation method and bioinformatics classification system for comparative analysis of plant

136 of a simple narrow-band imaging (NBI)-based classification system for differentiating hyperplastic f

137 al coherence tomography (OCT)-based anatomic classification system for diseases of the vitreomacular

138 We aimed to update the classification system for HCA and associate the subtypes

139 arotid wall CT features, using the Causative Classification System for Ischemic Stroke, which include

140 of Radiology recently released Lung-RADS, a classification system for LDCT lung cancer screening.

141 is somewhere in between, which leads to the classification system for MV systems introduced by Melvi

142 ncreasingly important to have an alternative classification system for orbiviruses.

143 bsolid nodules and a brief review of the new classification system for peripheral lung adenocarcinoma

144 In an effort to develop a more precise classification system for phleboviruses, we are attempti

145 lobal regions were compared using a modified classification system for PK indications and analyzed vi

146 uch needed new drugs reach the market, a new classification system for resistance might need to be de

147 in which they demonstrate that a hierarchial classification system for specific cytogenetic abnormali

148 review is to suggest a new nomenclature and classification system for the diseases currently categor

149 We developed a classification system for the endoscopic diagnosis of co

150 The conventional classification system for this disease is based on histo

151 In addition, an unambiguous classification system for various types of acidic ionic

152 Most classification systems for age-related macular degenerat

153 ovel treatments, and more optimal diagnostic classification systems for neuropsychiatric disorders.

154 In the current major diagnostic classification systems for psychiatric disorders, some c

155 Many classification systems for the HLA-DRB1 allelic associat

156 ensitive biomarkers of myonecrosis and a new classification system from the universal definition of m

157 CP severity ranged from Gross Motor Function Classification System (GMFCS) level 1 (least severe) to

158 ive score less than 70, Gross Motor Function Classification System (GMFCS) level of 3 to 5, or blindn

159 festyle factors for all Gross Motor Function Classification System (GMFCS) levels (I-V).

160 Gross Motor Function Classification System (GMFCS) levels I-III were commoner

161 P, as defined using the Gross Motor Function Classification System (GMFCS), had different degrees or

162 pecific functioning occurred at Lens Opacity Classification System grades 4 (nuclear opalescence), 5

163 The traditional disease classification system groups diseases with similar clini

164 This classification system has also been applied to describe

165 A classification system has been described as predictive o

166 The ISGPF classification system has its limitations in clinical de

167 In lung adenocarcinoma, the IASLC/ATS/ERS classification system has significant prognostic and pre

168 urrent revision of the two major psychiatric classification systems has elicited particular comment o

169 A variety of different terms and classification systems have been used historically to de

170 ature regarding FCDs, addressing the current classification system, histopathology, molecular genetic

171 en children with cerebral palsy (Gross Motor Classification System I:6, II:6, III:4) aged 5-14 years

172 eart failure staging nor the NYHA functional classification system identifies the variable symptomato

173 However, this simple classification system ignores much of the variation that

174 t of lens opacities using the Lens Opacities Classification System II (LOCS II) at baseline and again

175 nation tonometry, gonioscopy, Lens Opacities Classification System II cataract grading, retinal exami

176 t of lens opacities using the Lens Opacities Classification System II.

177 ification was assessed by the Lens opacities classification system III.

178 nd were graded according to the Lens Opacity Classification System III.

179 f stillbirths are scarce, and multiple (>35) classification systems impede international comparison.

180 sease characteristics in the most recent WHO classification system, improved understanding of the pat

181 However, clinical research supporting the classification system in psychiatry has not kept up with

182 projects are organized based on a four level classification system in the form of a Study, Organism (

183 e sought to evaluate 3 different DRB1 allele classification systems in a large cohort of Caucasian RA

184 We show computationally that kin classification systems in the world's languages achieve

185 so discussed the disease types and different classification systems including VCUAM and AFS/ASRM amon

186 nnotation through evolutionary relationship) classification system is a comprehensive system that com

187 The best classification system is a multinomial naive Bayes class

188 The ASA-PS classification system is a valuable assessment tool that

189 We show how this classification system is applicable at different levels

190 This classification system is completely automatic and can be

191 nt of patients, it is crucial that the ISGPF classification system is merged with newer clinical data

192 RwithSecond, the new classification system is not static but responds dynamic

193 Although the current classification system is not yet embraced by all researc

194 A modified classification system is proposed based on our data and

195 A new classification system is proposed, based wherever possib

196 A new classification system is suggested for defect-related PL

197 merican Joint Committee on Cancer (AJCC) TNM classification system is the most commonly used staging

198 The performance of these classification systems is influenced by the new normativ

199 ntity in the World Health Organization (WHO) classification system, is readily recognized as a partic

200 diagnosed clinically using the Lens Opacity Classification System (LOCS) III system.

201 ssment of lens opacity by the Lens Opacities Classification System (LOCS) III.

202 ing the glycemic index and therefore another classification system may be necessary.

203 We compare the performance of six MeSH classification systems [MetaMap, EAGL, a language and a

204 This classification system might be used to select treatment

205 replicated, then the disorder's place in the classification system must be reconsidered, and research

206 This classification system needs to be prospectively tested i

207 reatic neuroendocrine tumors, new prognostic classification systems, new diagnostic algorithms, more

208 ity of a global, cross-culturally applicable classification system of allergic disorders.

209 e, this study proposes a surgically relevant classification system of chromophores in current use, wh

210 In addition, we have developed a novel classification system of congenital vascular abnormaliti

211 ema; n = 95) using the modified Airlie House classification system of DR.

212 We applied the Montreal classification system of inflammatory bowel disease subp

213 A hierarchical classification system of Mg(2+) sites in RNA structures

214 A classification system of NIS, based on the magnitude of

215 Because of its retrospective character, the classification system of the International Study Group o

216 The current classification systems of myelodysplastic syndromes (MDS

217 le on the prognostic implications of the new classification system on a Western population.

218 AMD according to the modified International Classification System on digitized fundus images at 1 gr

219 an Procurement and Transplant Network (OPTN) classification system on patients undergoing transplanta

220 ts and the reliability (consistency) of each classification system over time (mean follow-up: 7 y).

221 ategy increases the PPV for a multi-category classification system over two common alternative strate

222 =0.03 for each) and the Gross Motor Function Classification System (P=0.01).

223 geneous diseases, which influences taxonomic classification systems, prognosis, and therapeutic decis

224 The classification system proposed and illustrated in this a

225 The new classification system provides the following features.

226 ndard error +/-0.37, P < .001) between the 2 classification systems, representing good agreement.

227 Maculopathy Grading System and Airlie House classification system, respectively.

228 This classification system should help the clinician understa

229 Ultimately, these classification systems should be unified into an all-enc

230 uggest that widely used harmonised commodity classification systems should evolve to address these ga

231 The kappa statistic between the 2 classification systems showed "good" agreement.

232 udies using fundus imaging and international classification systems, studies using fundus imaging wit

233 Formal classification systems such as the El Escorial criteria

234 Introducing an appropriate classification system, such as "complicated" and uncompl

235 An optimized binary classification system (symphony), which integrates predi

236 IVH was also graded using a simple classification system termed IVH score (IVHS).

237 loped and established the validity of an NBI classification system that can be used to diagnose color

238 ations and to examine the traditional strain classification system that depends on maternal family li

239 n eyes with iAMD suggests the need for a new classification system that distinguishes between neovasc

240 ll types, making it challenging to develop a classification system that groups these tumors according

241 Together, our findings provide a classification system that identifies tumors with clinic

242 A novel classification system that includes invasion of a vessel

243 We discuss how a classification system that incorporates genomic and hist

244 living organisms and is the only transporter classification system that is both universal and recogni

245 h the severity of AH and developed a patient classification system that might be used in clinical dec

246 Finally, a unified classification system that reconciles imaging interpreta

247 We also describe an expanded classification system that uses additional diagnostic cr

248 ed, layered, instance-based machine-learning classification system that uses leave-one-out bias optim

249 ess and analyze the structural archive using classification systems that are familiar to chemists and

250 Harmful drugs are regulated according to classification systems that purport to relate to the har

251 As new microarrays are invented, classification systems that worked well for other array

252 Based on this classification system the following 10 diseases (the fir

253 d according to the World Health Organization classification system, the efficacy and tolerability of

254 nt evidence for HIV prevention against a new classification system, the HIV prevention cascade.

255 In the era of the WHO lymphoma classification system, the majority of common B-cell NHL

256 ganization's Anatomical Therapeutic Chemical classification system, the rule-of-two performed best in

257 signments of protein families of an existing classification system to a large set of sequences.

258 Furthermore, we suggest a classification system to accommodate pseudogenes with va

259 were graded using the modified Airlie House classification system to assess the presence and severit

260 information to develop a pattern recognition classification system to authenticate honeys with PGI.

261 There is no histologic classification system to determine prognoses of patients

262 We propose a novel, unifying peptide classification system to emphasize the enormous diversit

263 ompetence in the International Labour Office classification system to ensure accurate radiographic cl

264 f the basic arguments of using the NOVA food classification system to examine the link between food a

265 The sensitivity of the proposed classification system to identify persons with average a

266 s between 2012 and 2014 and used a validated classification system to map services to seven subspecia

267 thcare Cost and Utilization Project Clinical Classification System to match HIV-infected and uninfect

268 een used along with the Bethesda Thyroid FNA Classification System to offer preoperative guidance in

269 We devised a machine learning behavior classification system to quantify hunting kinematics in

270 of individual ACAs in CML is unknown, and a classification system to reflect such prognostic impact

271 Application of the classification system to the external glioma data sets a

272 dardized the terminology around chronic GVHD classification systems to ensure that a common language

273 study were to compare different ototoxicity classification systems, to evaluate the feasibility of i

274 odel (FFM) of Personality, an assessment and classification system under consideration for integratio

275 The 4 different classification systems used challenged the comparison of

276 The classification system uses five semi-quantitative scenar

277 The kappa statistic for our proposed classification system was 0.35, indicating fair agreemen

278 Main Outcomes and Measures: A standardized classification system was applied to determine AMD stage

279 The classification system was based on that used by the prev

280 nternational Neuroblastoma Risk Group (INRG) classification system was developed to establish a conse

281 e two variables in selected source waters, a classification system was developed to relate the ground

282 whereas the kappa statistic for the original classification system was incalculable.

283 In 2011, a new classification system was proposed to standardize the te

284 The new classification system was statistically examined to just

285 The American College of Radiology classification system was used to characterize allergic-

286 ANalysis THrough Evolutionary Relationships) classification system was used to define annotated biolo

287 The American Heart Association classification system was used to rate quality of eviden

288 This classification system was validated in the other dataset

289 A alone or FA+OCT and agreement between both classification systems was performed.

290 etween identifications produced by different classification systems was poor, particularly for clinic

291 establish the real world applicability of a classification system, we profiled 118 formalin-fixed, p

292 Three classification systems were applied to 502 patients with

293 Two classification systems were used, including one proposed

294 rding to the Anatomical Therapeutic Chemical Classification System) were available on a quarterly bas

295 onal Classification of Headache Disorders-II classification system, which remains incomplete with reg

296 ociety for Clinical Nutrition and Metabolism classification system, who received teduglutide or place

297 enous pretreatment patient cohorts, the INRG classification system will greatly facilitate the compar

298 This classification system will support systematic diagnosis

299 Studies using recognized classifications systems with fundus photography reported

300 basis of diagnostic criteria and phenotypic classification systems, with considerable overlap in the