“…The primary objective of this research was to identify, implement and validate key digital oximetry biomarkers (OBMs) for the purpose of creating a standard and associated reference toolbox for continuous oximetry time series analysis. We review the sleep medicine literature to identify clinically relevant OBMs. …”
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“…Change in knowledge, skills and attitudes of health workers will be measured pre-implementation and post-implementation. Interrupted time series analysis will be used to identify change in the rate of identification of AUDs beyond that observed due to secular trends or by chance. …”
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“…ED visits were categorized using the Yang-Ming modified New York University-ED algorithm. A time series analysis was performed to examine the change in appropriate ED use rate after policy implementation. …”
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“…METHODS: Using hospital admissions data from January 2011 to August 2018, interrupted time series analysis was performed to investigate the changes in standardised rates of admission with stroke and bleeding, following the start of the QI initiative in October 2014. …”
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“…On this basis, the goal of the present study was to analyze the effects of exhaustive middle-distance running on expert runners by means of both discrete parameters and time series analysis in 3D. In this study, 13 runners ran on a treadmill to voluntary exhaustion at their individually determined fatigue speeds which was held constant during the measurements. …”
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“…We used interrupted time series analysis to compare trends in the early and later halves of the COVID-19 period. …”
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“…‘Red flags’ represent significant disease/symptoms concerns, likely to lead to hospitalization. METHODS: A time series analysis of PaJR phone calls to MW patients with ≥1 acute non‐surgical admissions in a 20‐day time window (10 days pre‐admission and 10 days post‐discharge) between 23 December 2016 and 11 October 2017. …”
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“…Furthermore, we adapt four real-world active learning tasks to our framework—a prediction task on crimes in the city of Baltimore, a classification task on insects species, a recommendation task on local web-news, and a time-series analysis on microbial organisms in the tropical air ecosystem. …”
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“…Methods: A retrospective multicenter observational analysis was conducted to investigate exposure to antibiotics and the incidence of non-duplicate clinical isolates of Candida spp. resistant to fluconazole, voriconazole, or both during November 2013 to April 2018, using two different methodologies: group-level (time-series analysis) and individual-patient-level (regression analysis and propensity-score adjusting). …”
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“…In the present work, we combined advanced confocal Ca(2+) imaging in fresh mouse pancreas tissue slices with time series analysis and network science approaches to unveil the glucose-dependent characteristics of different oscillatory components on both the intra- and inter-cellular level. …”
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“…It is unearthed in our study that CNN can provide robust long-term forecasting results in time-series analysis due to its capability of essential features learning, distortion invariance, and temporal dependence learning. …”
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“…Adoptive parents completed questionnaires at approximately 5, 21, 36, and 48 months post-placement. We used time series analysis to examine the impact of pre-adoptive risk factors [adverse childhood experiences [ACEs], number of moves, days with birth parents and in care] on children’s internalizing and externalizing problems, and prosocial behavior over 4 years post-placement. …”
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“…Using the interrupted time series analysis method, we estimated the changes in prescription rates after March 2020. …”
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“…Also, our analysis identified significant modulations of LLRa in muscles shortened by the perturbation, including an interaction between torque and velocity, and an effect of both torque and velocity. The time-series analysis indicated the significance of additional transient effects in the LLR region for muscles undergoing shortening.…”
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“…METHODS AND RESULTS: The temporal relationship between incidence rates of AMI with demonstrated culprit plaque (type 1 AMI) from the regional primary angioplasty network and influenza, adjusted for ambient temperature, was studied in Madrid region (Spain) during 5 influenza seasons (from June 2013 to June 2018). A time‐series analysis with quasi‐Poisson regression models and distributed lag‐nonlinear models was used. …”
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“…Application of our multiplexed platform based on nanostructure-initiator mass spectrometry enabled us to characterize crude mixtures of laccase enzymes from fungi Agaricus bisporus (Ab) and Myceliopthora thermophila (Mt) revealing activity on both carbohydrate and aromatic substrates. Using time-series analysis we determined that crude laccase from Ab has the higher GH activity and that laccase from Mt has the higher activity against our lignin model compound. …”
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“…The primary outcome was the change in weekly days of therapy (DOT) per 1000 patient-days (PD), and vancomycin use was compared using interrupted time-series analysis. RESULTS: Of 587 patients receiving vancomycin, 132 participated, with 79 and 53 enrolled in the first and second phases, respectively. …”
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“…Monthly age‐ and sex‐standardized GIB data were fitted and predicted, based on population prescriptions of aspirin, nonsteroidal anti‐inflammatory drugs (NSAIDs), anticoagulants, other antiplatelet drugs, PPIs, and H. pylori therapies, using autoregressive integrated moving average model for time series analysis. RESULTS: The incidence of upper GIB (UGIB) showed a clear declining trend while lower GIB (LGIB) decreased slightly. …”
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“…We conducted an interrupted time-series analysis to test for changes in screening rates by race/ethnicity before and during the pandemic. …”
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“…METHODS: We conducted a time-series analysis using generalized additive models to examine the relationship between the SARS-CoV-2 test positivity rate at a large regional hospital in Reno and ambient PM2.5 from 15 May to 20 Oct 2020. …”
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