Showing 321 - 340 results of 5,935 for search 'general database', query time: 0.13s Refine Results
  1. 321

    Psychological and behavior investigation of Chinese residents: Concepts, practices, and prospects by Yibo Wu, Siyuan Fan, Diyue Liu, Xinying Sun

    Published 2024-09-01
    “…Looking ahead, the PBICR will gradually complete the construction of databases from the general database to sub-databases, pay attention to special populations and globally widespread areas, add perspectives on tracking surveys and biomedical data research, and have greater research potential to drive research on the mental and behavioral health of Chinese population through the overall layout of the multi-dimensional.…”
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    Variation in recorded child maltreatment concerns in UK primary care records: a cohort study using The Health Improvement Network (THIN) database. by Jenny Woodman, Nick Freemantle, Janice Allister, Simon de Lusignan, Ruth Gilbert, Irene Petersen

    Published 2012-01-01
    “…<h4>Design</h4>Retrospective cohort study using a United Kingdom representative primary care database.<h4>Setting</h4>448 General Practices.<h4>Participants</h4>In total 1,548, 972 children (<18 y) registered between 1995 and 2010.…”
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    Interopérabilité des bases de données scientifiques : une sobriété de façade by Régis Witz, Guillaume Porte

    Published 2025-06-01
    “…Some of the challenges of Digital Humanities are tasks related to interoperability between databases, such as documentation, alignment, migration and publication. …”
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  6. 326

    SH.AR.P.P. (SHared ARcheological Platform for Prehistory): New Perspectives for the Project by Claudia Sabbini, Varinia Nardi, Saverio Giulio Malatesta, Luca Di Bianco

    Published 2024-03-01
    “…SH.AR.P.P. is a project conceived by the Digilab Research Centre of Sapienza University as a tool against the fragmentation of archaeological data for inquiry and the generalized public disregard toward the prehistory of the Italian Peninsula in favor of more recent and impressive evidence. …”
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  7. 327

    Research on seismic activity and seismic structural characteristics of the Shandong region by Linhai Lu, Zhenghao Liu, Hanwen Zhang, Chaojun Wu, Jiecheng Sun, Xianfeng Ma, Dingyi Zhou, Han Han, Haojin Zhang, Rui Li

    Published 2025-04-01
    “…The results reveal that seismic activity in Shandong is heterogeneously distributed, with moderate to strong earthquakes predominantly associated with active fault zones and exhibiting zonal clustering. Earthquakes are generally shallow, occurring within the middle to upper crust, with historical destructive events averaging a focal depth of 19 km, while recent minor seismic events average 14.9 km in depth. …”
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  8. 328

    Association of frailty with clinical and financial outcomes of hospitalization for non-operative trauma by Zeyu Liu, BS, Saad Mallick, MD, Nam Yong Cho, BS, Esteban Aguayo, MD, Mahima Chillakanti, BS, Giselle Porter, BS, Konmal Ali, Joseph Song, BS, Areti Tillou, MD, Peyman Benharash, MD

    Published 2025-06-01
    “…However, the impact of frailty on outcomes of non-operatively managed traumatic injuries remains generally unexplored. Using a national cohort, we characterized the association of frailty with clinical and financial outcomes of non-operative trauma hospitalizations. …”
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  9. 329

    A comparison of the referral rates of trainees and trainers in an academic teaching practice by R.F. Ingle, J.B. Levin

    Published 2004-05-01
    “…Main measure: Referral rates compared by the Generalized Linear Mixed Model to allow for case mix and variation between the three study groups. …”
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    Pooling of primary care electronic health record (EHR) data on Huntington’s disease (HD) and cancer: establishing comparability of two large UK databases by Rachael Williams, Krishnan Bhaskaran, Ian J Douglas, Daniel Dedman

    Published 2024-02-01
    “…Participants in each database were most similar in terms of medical history (median standardised difference, MSD 0.03 (IQR 0.01–0.03)), recent prescribing (MSD 0.06 (0.03–0.10)) and demographics and general health variables (MSD 0.05 (0.01–0.09)). …”
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  12. 332

    Background incidence rates of health outcomes of interest for COVID-19 vaccine safety monitoring in a US population: a claims database analysis by Sonja Banga, Alena Khromava, Laurence Serradell, Anne-Laure Chabanon, Chunshen Pan, Irisdaly Estevez, Samantha Schilsky, Hannah Kreisberg

    Published 2024-07-01
    “…Annual incidence rates and 95% confidence intervals (CIs) of HOIs were estimated for each population of interest, stratified by: age, sex, age and sex and seasonality.Data source Optum’s de-identified Clinformatics Data Mart Database (CDM).Participants Individuals from the US general population and four subgroups of interest: influenza-vaccinated, paediatric (&lt;18 years of age), elderly (≥65 years of age) and pregnant women.Results During the COVID-19 era, the incidence of several cardiac conditions, coagulation disorders and acute liver injury increased across all populations assessed while the rates of some dermatological and neurological HOIs decreased relative to the pre-COVID-19 era. …”
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    Concurrent validity of the Single Assessment Numerical Evaluation and hip-specific patient-reported outcome measures: a cross-sectional retrospective database analysis by Elizabeth M. Bergman, Edward P. Mulligan, Rupal M. Patel, Joel Wells

    Published 2024-10-01
    “…The purpose of this study was to investigate the concurrent validity of the SANE and hip-specific PROMs in a generalized population of patients with hip pain at a single timepoint upon initial visit with an orthopaedic surgeon who is a hip preservation specialist. …”
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    Quanto influiscono i sistemi elettorali sulle campagne? Un'analisi comparata in nove Stati europei by Francesca Montemagno, Rossana Sampugnaro

    Published 2019-06-01
    “…The study focuses on the candidates who participated in the most recent general elections included in the database. In particular, we selected nine countries with different electoral systems: for Candidate-based electoral system, we choice Romania, United Kingdom, Ireland and Malta; for Party-based electoral system, we examined Norway, Portugal and Italy; we also included in our analysis Hungary and Germany, which have a Mixed system with single-member constituency and closed List, which can be placed between the two previous systems. …”
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    Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database by Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian

    Published 2024-12-01
    “…Model construction involved an ensemble of ML, including random forest (RF), support vector machine (SVM), k-nearest neighbors (KNN), naive Bayes (NB), neural network (NNET), generalized linear model (GLM), and gradient boosting machine (GBM). …”
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