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1 show credible results when compared against laboratory data.
2 OVID-19 requires integration of clinical and laboratory data.
3 eries analysis was performed on microbiology laboratory data.
4 ge and is complicated by a lack of field and laboratory data.
5 lent diagnoses of lung cancer, or incomplete laboratory data.
6 ed the acquisition of extensive clinical and laboratory data.
7 ing demographic, clinical, instrumental, and laboratory data.
8 mographic, clinical, neurophysiological, and laboratory data.
9 mographic, clinical, neurophysiological, and laboratory data.
10 ts that are readily obtainable from clinical laboratory data.
11 ion efficiency was found from both field and laboratory data.
12 re based primarily on extensive experimental laboratory data.
13 wed that the results are consistent with the laboratory data.
14 f RNA-Seq was compared to available clinical laboratory data.
15 ved loose bowels and skin lesions as well as laboratory data.
16 hospitalization, treatment tolerability, and laboratory data.
17 ic findings in combination with clinical and laboratory data.
18 and ophthalmologists collected clinical and laboratory data.
19 rtant data that significantly complement the laboratory data.
20 -care testing (POCT) is rapid acquisition of laboratory data.
21 determined the cause of death and collected laboratory data.
22 endotherm that accurately predicts field and laboratory data.
23 l-of-care requirements based on clinical and laboratory data.
24 at least 2 orders of magnitude over previous laboratory data.
25 xplained by adverse events, microbiology, or laboratory data.
26 th baseline BNP levels and angiographic core laboratory data.
27 stribution of parameters consistent with the laboratory data.
28 can be attained from inverting the tailored laboratory data.
29 in/1.73 m(2) base on both out- and inpatient laboratory data.
30 Unmeasured confounding, incomplete laboratory data.
31 e model was constrained against clinical and laboratory data.
32 ing, insufficient, or early or late baseline laboratory data.
33 Clinical and laboratory data.
34 stantial structural problems and issues with laboratory data.
35 ly 78% of available electronic health record laboratory data.
36 measured NT-proBNP data (c-indices: 0.80 [w/laboratory data]-0.81 [full model]); net reclassificatio
37 identified comorbidities using pretransplant laboratory data, (2) investigate additional HCT-related
38 s-sectional analysis of survey and automated laboratory data 2969 primary care diabetic patients of a
39 S administrative claims database with linked laboratory data, 34 569 new users of oral anticoagulants
41 440 girls with both reproductive health and laboratory data, after accounting for BMI and race/ethni
45 ified AKI events not requiring dialysis from laboratory data and classified them according to the rat
48 the type of colitis is based on clinical and laboratory data and colonoscopic and biopsy findings, bu
49 tation must be tested using a combination of laboratory data and evidence about cooperation "in the w
50 sing on the utility of physical examination, laboratory data and imaging (both ultrasonography and co
51 gregate sufficient longitudinal clinical and laboratory data and integrate these data with model syst
55 -positive lesion plus consistent clinical or laboratory data and recommended confirmation by biopsy o
56 o received study drug by monitoring clinical laboratory data and self-report and direct clinician ass
62 n, quality of life, adverse events, clinical laboratory data, and electrocardiogram results were asse
63 for patient diagnoses within the past year, laboratory data, and for clustering of patients within h
69 CDI is a clinical diagnosis supported by laboratory data, and the detection of toxigenic C. diffi
70 ata, physical examination findings, or basic laboratory data; and (3) confirmed or excluded appendici
78 i-centre trans-sectional study, clinical and laboratory data as well as CSF and/or blood serum sample
82 th study groups were matched in clinical and laboratory data, as well as volume of injected contrast.
83 demographic factors, behavioral factors, and laboratory data associated with the metabolic syndrome.
84 ria for Adverse Events (version 3.0) for all laboratory data at regular follow-up visits and during o
85 ion was often related to missing clinical or laboratory data at the MDPH as well as restrictive defin
87 pretransplant information including routine laboratory data available before or at the time of trans
89 ing the implementation of local and national laboratory data-based surveillance systems for the routi
94 More generally we illustrate how clinical laboratory data can be used to develop and to test a dyn
96 of ADM with POA codes and readily available laboratory data can efficiently support accurate risk-st
97 ing present on admission codes and numerical laboratory data collected at the time of admission resul
99 that a simple model using readily available laboratory data could be developed to predict imminent A
101 tive clinical data (clinical manifestations, laboratory data, disease activity, damage, and mortality
102 om clinical examinations, medical histories, laboratory data, drug use, and register linkages over 9
110 We retrospectively reviewed radiographic and laboratory data for all patients from a single center wh
122 tion models using demographic, clinical, and laboratory data from 2 independent Canadian cohorts of p
125 database, which contains administrative and laboratory data from 6 pediatric hospitals in the United
126 tal CMV infection, we extracted clinical and laboratory data from 7 days before until 7 days after in
128 sign, we examined clinical, histological and laboratory data from 749 consecutive unselected CD child
131 011, we prospectively collected clinical and laboratory data from all patients with Buruli ulcer diag
133 We extracted epidemiological, clinical, and laboratory data from cases of hand, foot, and mouth dise
137 cted BMR, body-composition, demographic, and laboratory data from electronic databases of 757 volunte
144 Purpura (UK TTP) Registry with clinical and laboratory data from the largest cohort of pregnancy-ass
146 ned retrospective demographic, clinical, and laboratory data from the period 2003-2007 for children h
147 ly assigned from ranges defined by field and laboratory data, generated an emergent community structu
149 ith multidimensional phenotypes that include laboratory data, images, vital signs, and other clinical
151 rt study of Medicare beneficiaries linked to laboratory data in 10 states with prevalent heart failur
152 ico predictions were validated by subsequent laboratory data in NOD mice with T1D that received anti-
153 was performed for all available clinical and laboratory data in patients with biopsy-confirmed NSF.
154 inty in the risk of EV71-HFMD due to missing laboratory data in the national database, (ii) excluding
159 gate the ability of patient characteristics, laboratory data (including MELD scores), and hemodynamic
163 emained stable over the study period, and no laboratory data indicated liver or kidney injury or dysf
164 Computer spreadsheet modeling results and laboratory data involving 16 pairs of analyte and intern
165 substituting clinical surrogates for missing laboratory data is an appropriate alternative to the con
166 model), POA-ADM supplemented with admission laboratory data (Laboratory model), Laboratory model sup
167 Pred to an additional seven isolates with no laboratory data led to types that clustered with identic
168 aphics, location of evaluation, clinical and laboratory data, major organ system dysfunction, 48-hr p
175 pecies level in clinical samples may provide laboratory data of crucial importance in epidemiologic i
176 d between corneal morphological features and laboratory data of diabetic patients, ECD showed a signi
177 eatures with the general characteristics and laboratory data of diabetic patients, including disease
178 infection were reviewed retrospectively for laboratory data of hepatic parenchymal inflammation and
180 ospective cohort study, we used clinical and laboratory data of patients who had haemopoietic cell tr
183 A retrospective chart review of clinical and laboratory data on 39 patients with CVID and GLILD who c
185 r (DLC) exposures, we extrapolated published laboratory data on common terns to roseate terns by char
186 tract clinical, hemodynamic, medication, and laboratory data on patients admitted to the LTICU from M
187 del predictions are tested against available laboratory data on petroleum liquid densities, gas/liqui
188 by at least 30%, plus consistent clinical or laboratory data or confirmation by biopsy or correlative
189 xcluded because of a lack of clinical and/or laboratory data, pancreatic abnormalities, or inadequate
192 ical variables, such as presenting symptoms, laboratory data, peripheral oxygen saturation, and comor
193 cidin-25 level, and relevant demographic and laboratory data pertinent to posttransplantation anemia,
195 oring system based on objective clinical and laboratory data provides meaningful risk stratification
197 t sign on physical examination and screening laboratory data remains controversial, although screenin
198 performed for a subset of patients with all laboratory data required to analyze the data via physica
199 ablished electronic health record, clinician laboratory data retrieval and communication during ICU r
206 ches were the most accurate when compared to laboratory data, showing great potential for predicting
215 ntaneous macromolecular damage inferred from laboratory data, suggesting that microbes imprisoned in
216 ting for patient demographics, case-mix, and laboratory data, suggesting the involvement of other fac
217 fish production, and all published field and laboratory data support the conclusion that something ot
219 thematical model developed and fitted to the laboratory data supported the hypothesis that EhV replic
220 transferase levels were the only clinical or laboratory data that independently predicted severity of
224 intensive care unit patient stays, including laboratory data, therapeutic intervention profiles such
226 n study limitation was the unavailability of laboratory data to assess specific types or severity of
227 and accuracy of clinical, radiographic, and laboratory data to diagnose bacterial VAP relative to a
228 memory B cells, while gathering longitudinal laboratory data to examine the progressive nature of the
229 118), we collected clinical and longitudinal laboratory data to investigate relationships between sTN
230 measured and readily available clinical and laboratory data to separate NAFLD patients with and with
232 ew approaches to analyzing epidemiologic and laboratory data to understand transmission during this o
234 inside village kitchens, in conjunction with laboratory data, to assess the health impacts of new coo
235 importance of considering epidemiologic and laboratory data together when evaluating potential etiol
236 regimens, ammonia levels and other pertinent laboratory data, treatments administered, and outcomes w
237 tology, physical exam data, imaging studies, laboratory data, vaping history, and subsequent outpatie
238 ure compares model predicted values with the laboratory data via the standard Bayesian techniques wit
240 ed with admission vital signs and additional laboratory data (VS model), VS model supplemented with k
242 On the basis of a synthesis of clinical and laboratory data, we developed a biological functions cla
245 ng Taylor's Power Law to integrate field and laboratory data, we found that only treatments involving
247 he endoscopic reports, clinical records, and laboratory data were also reviewed and compared with the
251 m within 24 hours of the visit, and abnormal laboratory data were available for review within a media
252 There was unmeasured confounding and no laboratory data were available for the majority of patie
254 Physiologic data collection occurred hourly; laboratory data were collected according to local ICU pr
263 in MRI, cardiac MRI, neuropsychological, and laboratory data were collected on 1504 Framingham Offspr
265 utcomes and Measures: Extensive clinical and laboratory data were collected on patients who were subc
286 erioperative, and postoperative clinical and laboratory data were prospectively collected and compare
290 wo-plane radiographs, clinical findings, and laboratory data were reviewed in 13 children (median age
294 ities, hospital procedures, medications, and laboratory data were used to develop a model to predict
296 including the corresponding radiographs and laboratory data, were prospectively reviewed by one of t
298 e extensively investigated with clinical and laboratory data, with a follow-up of at least 18 months.
299 rct location, coronary anatomy, and clinical laboratory data, with final follow-up through December 3
300 ing etiologies based on initial clinical and laboratory data would facilitate etiology-based treatmen