ライフサイエンスコーパス: data source

1 al Health Insurance Research Database as its data source.

2 adjust for residual systematic bias in each data source.

3 urrent studies are limited to using a single data source.

4 nce over sequence-based models regardless of data source.

5 information is needed from a single uniform data source.

6 er, the magnitude and dynamics differ by the data source.

7 es was completed using primary and secondary data sources.

8 the integration of multiple high throughput data sources.

9 valuate the utility of incorporating varying data sources.

10 hich were separately estimated from multiple data sources.

11 in recovery due to a lack of available state data sources.

12 ement across PINs from different species and data sources.

13 provenance annotations that link to external data sources.

14 ort card using metrics from multiple routine data sources.

15 to quantify relative contributions from the data sources.

16 will enable comparison of data from diverse data sources.

17 l as spelling or typographical errors across data sources.

18 C-related genes, and human TFs from multiple data sources.

19 diverse content areas, new methods, and vast data sources.

20 ke it easily adaptable to other diseases and data sources.

21 mpendium of annotated diseases mined from 68 data sources.

22 rated genome-wide data from a broad range of data sources.

23 were compared with nationally representative data sources.

24 y utilize the potential of these multi-omics data sources.

25 eases, it is necessary to integrate multiple data sources.

26 tor, and outcome, potentially from different data sources.

27 hms from relatively short-term or unreliable data sources.

28 meterized for use with multiple social media data sources.

29 to the difference in scope, assumptions, and data sources.

30 nical data, claims data, or a hybrid of both data sources.

31 using six governmental and intergovernmental data sources.

32 derived from mobile phones and other dynamic data sources.

33 ictive cell models is the lack of integrated data sources.

34 ogy using cheminformatics approaches and big data sources.

35 Injury deaths were estimated from additional data sources.

36 Age profiles vary across data sources.

37 ent publications will be used as the primary data sources.

38 elated data types from a variety of original data sources.

39 rnessing existing routine clinical and trial data sources.

40 cy and robust compatibility with various ECG data sources.

41 ques for combining information from multiple data sources.

42 ctive charts and by linking disease relevant data sources.

43 between siloed stakeholders and centralized data sources.

44 tions using both administrative and clinical data sources.

45 erarchical statistical modeling with diverse data sources.

46 f a psychosocial research group, also formed data sources.

47 hen exposure prevalence differed between the data sources.

48 regimens that utilize multiple heterogeneous data sources.

49 Cancer Genome Atlas (TCGA), and other public data sources.

50 Data Sources: A PubMed search through November 10, 2015,

51 Data sources: A systematic search of the electronic data

52 s for existing drugs, and new algorithms and data source aggregation strategies provide ever-improvin

53 modality, and characterized by imaging task, data source, algorithm type, and outcome metrics.

54 rvival rates varied minimally with augmented data sources, although using external death data without

55 ing spatial and temporal resolutions of each data source and generate inference about dynamics on sca

56 or over 140 baseline characteristics in each data source and pooled by fixed-effects meta-analysis.

57 were initially conducted separately for each data source and time point to examine generalizability o

58 cy were prospectively collected from routine data sources and active case finding, together with data

59 ethods; our results indicated that combining data sources and algorithms can help prioritize higher-q

60 ds to fully exploit the merits of individual data sources and combine them to improve the modeling of

61 dults, which is based on extensive published data sources and considers specific drugs and resistance

62 ave the velocity, volume, and variety of big data sources and contain additional geographic informati

63 factorization (iONMF) to integrate multiple data sources and discover non-overlapping, class-specifi

64 DESIGN , DATA SOURCES AND ELIGIBILITY CRITERIA: We systematically

65 In sub-Saharan Africa, robust routine data sources and historical epidemiological observations

66 who are not, limited data and variability in data sources and indicator definitions make monitoring c

67 We validated measurements against other data sources and investigated patterns and agreement amo

68 Data Sources and MEDLINE and Embase (1956 to May 2017) w

69 inical, and biophysical methods, and propose data sources and methods to advance computational drug r

70 g research approach that uses diverse online data sources and methods to generate insights about spec

71 We review iEcology data sources and methods, and provide examples of potent

72 The current article reviews and compares data sources and national burden estimates for infective

73 DATA SOURCES AND REVIEW Scoping review methodology follo

74 Data Sources and Study Selection: Systematic search of E

75 provide information about easily accessible data sources and suggest some first steps for aspiring c

76 l-studied algorithms mostly deal with single data source, and cannot fully utilize the potential of t

77 ve framework combining disparate methods and data sources, and assessed subnational pandemic potentia

78 DESIGN, DATA SOURCES, AND METHODS: The paper seeks to answer two

79 neral pattern holds across income quantiles, data sources, and mobility measures.

80 ransdisciplinary and systems approaches, new data sources, and stakeholder partnerships.

81 We assessed both primary data sources, and the 2013 Global Burden of Disease Stud

82 Heterogeneous and voluminous data sources are common in modern datasets, particularly

83 Distributed networks of health-care data sources are increasingly being utilized to conduct

84 erall accessibility to novel and traditional data sources are needed to improve forecasting accuracy

85 and finally, (c) spatially coarsely resolved data sources are unlikely to represent site-level water

86 , creating valid training data from the same data source as prediction data is usually laborious and

87 e we derived the GPP/SIF ratio from multiple data sources as a diagnostic metric to explore its globa

88 tomation with flexibility to incorporate new data sources as needed.

89 cirrhosis QMs were measurable using existing data sources, associated with mortality and health care

90 lculated a pooled survival estimate for each data source at 15 years, 20 years, and 25 years, using a

91 ember 31, 2010 were identified from multiple data sources at 3 U.S. sites: Emory University (EU) in A

92 Next, we provide an overview of data sources available for wealth research.

93 Teeth are an important data source because they are generally well preserved in

94 empowerment indicator from widely available data sources, broadening opportunities for monitoring an

95 s and to test whether an external electronic data source can improve reporting.

96 ting features with independent complementary data sources can be implemented in many different high-t

97 These data sources can be temporally limited, spatially aggreg

98 istic approaches in the fruit biology field, data sources can include a mix of measurements such as m

99 generated inventory found that the selected data sources can provide information with equal or bette

100 asurements to more globally continuous PM2.5 data sources can yield valuable improvements to PM2.5 ch

101 Data Sources: Clinical trials, observational analyses, r

102 Data sources consisted of governmental data, data from n

103 All linked data sources contained longitudinal information covering

104 DATA SOURCES, DATA SELECTION, AND DATA EXTRACTION: Searc

105 DATA SOURCE: Data were obtained from a PubMed search of

106 Data source did not allow for evaluation by store type o

107 estimates, as a result of methodological and data source differences.

108 t a bioinformatic analysis integrating three data sources, eCLIP assays for a large RBP panel, shRNA

109 organisms by integrating multiple biological data sources either via centrality measures or machine l

110 There is no clear reference data source for ascertainment of conditions.

111 ble deceased donors in the US and could be a data source for CMS to implement new OPO performance met

112 The data source for FCOIs was Open Payments, which is public

113 rk, we have made available a highly-detailed data source for future investigation.

114 ation used the best available, authoritative data source for illicit cocaine flows.

115 ecies provide a rich and largely unexploited data source for meta-analyses to identify the host and p

116 rative video could be used as a quantitative data source for research in intraoperative clinical deci

117 sample is the largest and most comprehensive data source for the combined study of genetic and enviro

118 The only public data source for understanding many elements of the opera

119 es enabling cross-platform comparisons among data sources for analysis.

120 traditional survey-based and administrative data sources for high-resolution urban surveillance to m

121 are increasingly receiving attention as new data sources for phenotype prediction.

122 ago, we have made eight releases, added new data sources for target-disease associations, started in

123 Scoping review DATA SOURCES: Four electronic databases - PubMed, EMBASE

124 n in more than 90 countries and are the main data source from the highest burden regions, but data-qu

125 Outcomes for this group were combined with data sourced from a comprehensive literature review in o

126 l systems, many models are often informed by data sourced from multiple unrelated cell types (mosaic

127 This retrospective matched-cohort study used data sourced from the Longitudinal Health Insurance Data

128 The experimental data sources from a nested case-control study cohort, co

129 We identified scabies epidemiological data sources from an extensive literature search and hos

130 and through the contribution of unpublished data sources from collaborators, an updated version of m

131 e an overview of selected ideas, models, and data sources from decision research that can fuel new li

132 existing high-quality and multidisciplinary data sources from patients with prostate cancer across d

133 We first present data sources from which networks are built, then show so

134 Using three data sources-GFT: an archive of weekly ILI estimates fro

135 ervational time-series analysis, we used six data sources (Government records for child mortality, po

136 ulation estimation procedures; however, each data source has its own biases and limitations.

137 and variety of publically available gene set data sources has been increased, and its advanced search

138 The following new data sources have been included: Food and Drug Administr

139 gies that leverage the use of Internet-based data sources have been proposed as a way to complement d

140 As the two data sources have complementary strengths-high veracity

141 n recent years, social and real-time digital data sources have provided new means of studying disease

142 tive maternal mortality and health workforce data sources have well-known limitations.

143 Using multiple data sources, here we estimate the disease burden and cl

144 These data sources, however, rely on individual data submissio

145 Data sources identified 2,990 outcomes, which were used

146 We used multiple administrative data sources, identifying 7,525 Medicaid-eligible adults

147 We show that the integration of multiple data sources improves the predictive accuracy of retriev

148 ncourage reevaluation of the utility of this data source in diverse domains.

149 We discuss the potential of new data sources in accounting for seasonal population movem

150 lts demonstrate the value of newly available data sources in addressing long-standing scientific ques

151 ould consider neighborhood context and novel data sources in designing optimal intervention strategie

152 We included 24 studies with 28 data sources in the review and identified 22 models that

153 2 commercial and 1 federal (Medicare) claims data sources in the United States, we identified a 1:1 p

154 or vertically (separate measures within each data source) in order to preserve patient privacy.

155 Data sources include the Centers for Disease Control and

156 Our data sources included demographic and health surveys, mu

157 Data sources included electronic medical records, pharma

158 Data sources included evidence summarized in previous re

159 Data sources included MEDLINE, Embase, Cochrane Database

160 Data sources included the Surveillance, Epidemiology, an

161 Data sources included World Health Organization, World M

162 d data retrieved from multiple international data sources including UniProtKB, GlyTouCan, UniCarbKB a

163 ata-driven framework that integrates several data sources - including spectroscopy, DNA sequences, im

164 We triangulated among several data sources, including 19 semi-structured interviews wi

165 Expanding data sources, including administrative records and data

166 ased on strategies employing three different data sources, including annotated gene sets and gene exp

167 m four independent, prospective, multicentre data sources, including data from December, 1991, to Mar

168 support next generation sequencing, plus new data sources, including expression in different tissues,

169 e by utilizing a wider variety of models and data sources, including global food trade data, processi

170 We searched multiple data sources, including Ovid MEDLINE, Cochrane, and Emba

171 ivate database from any heterogeneous set of data sources, including previously-published datasets an

172 ing extremely sparse data from heterogeneous data sources, including primary sequence, pathways, doma

173 Data sources, including PubMed and conference proceeding

174 The data source is DRCR.net, but analyses, content, and conc

175 e discovery process from these heterogeneous data sources is a nontrivial task, becoming the essence

176 l known that the integration among different data-sources is reliable because of its potential of unv

177 exible in the incorporation of diverse omics data sources, it can be easily adapted to the user's res

178 riation and proteomics data from large scale data sources (LSS).

179 icrobiology data suggest that using external data sources may improve the accuracy of AE reporting.

180 Nonrandomized data sources may inform the initial design of ATSs, whic

181 edistricting was evaluated with two distinct data sources, Medicare claims and the University HealthS

182 Data Sources: MEDLINE and EMBASE (without language restr

183 Data Sources: MEDLINE, Cochrane Library, CINAHL, and Int

184 Data Sources: MEDLINE, Cochrane Library, EMBASE, and tri

185 Data Sources: MEDLINE, EMBASE, and Cochrane Central Regi

186 Data Sources: MEDLINE, EMBASE, and Web of Science (1995

187 Data Sources: MEDLINE, EMBASE, Web of Science, CENTRAL,

188 Data Sources: MEDLINE; Cochrane Central Register of Cont

189 Data Sources: Multiple electronic databases from January

190 Today, new data sources, new methods, and continued population heal

191 The data source of the initial signal triggering safety-rela

192 Longitudinal data sources offer new opportunities for the evaluation

193 hically resolved household survey and census data sources on child deaths to produce estimates of und

194 er time, used all available population-level data sources on incidence, prevalence, case fatality, mo

195 id a retrospective database study using open data sources on prescribing for all general practices in

196 70s) as well as the importance of occurrence data sources on the potential distribution of each speci

197 This is a systematic review DATA SOURCES: Online databases including Academic Search

198 btaining national projections from available data sources or published data.

199 horizontally (separate patients within each data source) or vertically (separate measures within eac

200 Data Sources: Ovid MEDLINE (from 1946), Cochrane Central

201 Data Sources: Ovid MEDLINE, CINAHL, and the Cochrane Lib

202 obal Vision Database with recently published data sources permitted modelling of cause of vision loss

203 ve as benchmarks; 4) optimize the use of new data sources, platforms, and natural experiments; and 5)

204 Alternatively, differences may arise from data sources: populations monitored individually, versus

205 However, the cross data source prediction is often biased due to the differ

206 3D-ADA stably improved the cross data source prediction, as well as outperformed two popu

207 Combining data sources presents a systematic approach to study mol

208 Second, no data source provides, by itself, global coverage at a su

209 computational model and HTS data from a big data source (PubChem) were used to profile environmental

210 Data Sources: Publications in MEDLINE and CINAHL between

211 Data Sources: Published literature and expert opinion.

212 Data Sources: Pubmed, CINAHL, and Web of Science (Januar

213 The level of disagreement between these data sources raises concerns regarding their ability to

214 we demonstrate that 3D-ADA can improve cross data source recovery of novel macromolecular structures.

215 t-disease associations with new and improved data sources, refining data quality, enhancing website u

216 h that included a list of publicly available data sources regarding environmental hazards, public hea

217 amework synthesized evidence from a range of data sources relating to influenza transmission and vacc

218 Data sources relied on participant recall, surveys exclu

219 Data sources remain inadequate, however, to fully captur

220 Yet accessing and integrating disparate data sources remains a considerable challenge, slowing p

221 um" knowledge discovery across heterogeneous data sources remains a major challenge.

222 Cancer type, data source, reporting quality, adjustment for age, stag

223 on support has been followed, describing the data sources, reporting on data assumptions, and address

224 DATA SOURCES/REVIEW METHOD: Journal articles published i

225 ze-up since the 1990s, using two independent data sources (satellite telemetry data and passive acous

226 otocol registration: PROSPERO CRD42018109971 DATA SOURCES: Searches were conducted in MEDLINE, Embase

227 Data Sources: Searches were conducted in PubMed and refe

228 cted information about study aim and design, data source, selected population, outcome definition, pa

229 provides more information than using either data source separately.

230 Histone interactomes derived from different data sources show limited overlap and complement each ot

231 Studies using digital data sources show that the mobility of individuals was e

232 ly representative surveys and administrative data sources spanning 2001-16.

233 Additionally when the data sources (strains) are not identified (e.g. in datas

234 DATA SOURCES, STUDY SELECTION, AND DATA EXTRACTION: Data

235 Data Sources, Study Selection, and Data Synthesis: PubMe

236 Based on publicly available data sources, subsets of payment and attestation data we

237 models rely on human interactions, multiple data sources such as clinical surveillance and Internet

238 scertaining disease cases from heterogeneous data sources such as hospital records, digital questionn

239 s been carefully generated from unrestricted data sources such as MedLine, PubMed Central (PMC), and

240 parative analysis across samples and against data sources such as TCGA and ClinVar, and cohort buildi

241 logical information and novel Internet-based data sources, such as disease-related Internet search ac

242 t and umbrella studies and research from big data sources, such as electronic health records, adminis

243 tion of biological networks derived from big data sources, such as MEDLINE abstracts.

244 that the unbiased integration of independent data sources suggestive of regulatory interactions produ

245 Data source: Surgical operations included in the Nationa

246 model, the HIV Synthesis Model, to multiple data sources (surveillance data provided by Public Healt

247 is the largest publicly available financial data source that has a granularity of individual trades

248 This underscores the importance of using a data source that includes detailed clinical information.

249 tractable modelling frameworks with multiple data sources that account for the strong interplay betwe

250 grative analysis of multiple high-throughput data sources that are available for a common sample set

251 of machine learning tools coupled with vast data sources, the management of atrial fibrillation (AF)

252 in Australia by using multiple, independent data sources.The study was designed to compare relevant

253 Data Sources: The Cochrane Central Register of Controlle

254 Price increases for SSBs in two distinct data sources, their timing, and the patterns of change i

255 We observed a loss of population across all data sources throughout the study period; however, the m

256 shark fin market surveys has been a valuable data source to estimate global catches and international

257 which will serve as a valuable, integrative data source to foster metalloenzyme related research, pa

258 rectal histopathology reports are a reliable data source to identify individuals with SPs.

259 g diagnostic applications, we leveraged this data source to test the confidence with which algorithms

260 rden of Disease Study 2013 and several other data sources to assess the economic burden of symptomati

261 Here, we amalgamate multiple data sources to calibrate a susceptible-latent-infected-

262 in conjunction with four different auxiliary data sources to classify proteins to tens of sub-cellula

263 cost-effectiveness of utilizing existing big data sources to conduct population health studies.

264 r machine system, to integrate heterogeneous data sources to considerably improve on the quantity and

265 dvantages of multiple technologies and prior data sources to detect arbitrary classes of genetic vari

266 We used 3 publicly available government data sources to estimate anti-HCV prevalence in each US

267 mework for integrating multiple surveillance data sources to evaluate the adequacy of traditional (IL

268 We utilized multiple publicly available data sources to evaluate the association between introdu

269 sequences and genome information from public data sources to form a knowledge base.

270 sion modelers have explored the use of other data sources to produce more timely estimates and predic

271 ad-derived haplotypes and multiple reference data sources to restore graph connectivity information,

272 sing existing models and relevant supporting data sources to track chemicals during production, proce

273 hed in 2019 relied on a variety of available data sources towards this objective, including electroni

274 dary aim was to describe the distribution of data sources triggering these modifications.

275 environments considered, and the methods and data sources used.

276 predictive abilities of three different omic data sources using eight representative methods for six

277 DESIGN/DATA SOURCES: Using in-person, email, and videoconferenc

278 oncordance (Cohen Kappa value) between the 2 data sources varied from 0.79 (diabetes) to 0.02 (dyspne

279 e prospective addresses contained in these 2 data sources was good (85%), it was diminished among bla

280 product recommendations that includes myriad data sources was necessary.

281 Using available federal data sources, we estimated the aggregate cost of inpatie

282 Across 2 large data sources, we found decreases in intake and purchases

283 Conclusions: Using existing nontraditional data sources, we have developed a Web-based platform for

284 Data Sources: We performed a systematic literature searc

285 predictions as a result of input occurrence data source were most pronounced in future climate proje

286 mong different varieties and among different data sources were considerable.

287 Data sources were identified by using PubMed in 2016.

288 In this systematic analysis, data sources were identified from GBD 2013 for the preva

289 Several data sources were searched from inception to September 2

290 differences in patient survival rates across data sources were small (</=1 percentage point), OPTN on

291 Data sources were taken from IDSA guidelines and publish

292 Administrative data sources were used to control for baseline character

293 earch quality and to integrate complementary data sources when EHR data alone are insufficient for re

294 ficial to have training data from a separate data source where the annotation is readily available or

295 Furthermore, our results suggest that data sources which allow for spatial averaging will prom

296 l topics can be measured, as they all have a data source with defined numerators and denominators.

297 rch and hospital insurance data and analysed data sources with a Bayesian meta-regression modelling t

298 e at small areas and integrate multiple open data sources with mobile phone traces to compare how the

299 We compared these two data sources with population estimates derived from air

300 hat is general enough to accommodate diverse data sources, yet rigorous enough to provide a strong me