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  1. 2281
    “…To make this vision a reality, we have established a workgroup within the Observational Health Data Sciences and Informatics (OHDSI, http://ohdsi.org) collaborative. …”
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    Bridging Islands of Information to Establish an Integrated Knowledge Base of Drugs and Health Outcomes of Interest
  2. 2282
    “…We describe our experience converting Electronic Health Records (EHR) to the Observational Health Data Sciences and Informatics (OHDSI) Common Data Model (CDM). …”
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    Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research
  3. 2283
    por Ho, Calvin W L, Ali, Joseph, Caals, Karel
    Publicado 2020
    “…Technological advances in big data (large amounts of highly varied data from many different sources that may be processed rapidly), data sciences and artificial intelligence can improve health-system functions and promote personalized care and public good. …”
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    Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance
  4. 2284
    por Prieto-Alhambra, Daniel, Kostka, Kristin, Duarte-Salles, Talita, Prats-Uribe, Albert, Sena, Anthony, Pistillo, Andrea, Khalid, Sara, Lai, Lana, Golozar, Asieh, Alshammari, Thamir M, Dawoud, Dalia, Nyberg, Fredrik, Wilcox, Adam, Andryc, Alan, Williams, Andrew, Ostropolets, Anna, Areia, Carlos, Jung, Chi Young, Harle, Christopher, Reich, Christian, Blacketer, Clair, Morales, Daniel, Dorr, David A., Burn, Edward, Roel, Elena, Tan, Eng Hooi, Minty, Evan, DeFalco, Frank, de Maeztu, Gabriel, Lipori, Gigi, Alghoul, Heba, Zhu, Hong, Thomas, Jason, Bian, Jiang, Park, Jimyung, Roldán, Jordi Martínez, Posada, Jose, Banda, Juan M, Horcajada, Juan P, Kohler, Julianna, Shah, Karishma, Natarajan, Karthik, Lynch, Kristine, Liu, Li, Schilling, Lisa, Recalde, Martina, Spotnitz, Matthew, Gong, Mengchun, Matheny, Michael, Valveny, Neus, Weiskopf, Nicole, Shah, Nigam, Alser, Osaid, Casajust, Paula, Park, Rae Woong, Schuff, Robert, Seager, Sarah, DuVall, Scott, You, Seng Chan, Song, Seokyoung, Fernández-Bertolín, Sergio, Fortin, Stephen, Magoc, Tanja, Falconer, Thomas, Subbian, Vignesh, Huser, Vojtech, Ahmed, Waheed-Ul-Rahman, Carter, William, Guan, Yin, Galvan, Yankuic, He, Xing, Rijnbeek, Peter, Hripcsak, George, Ryan, Patrick, Suchard, Marc
    Publicado 2021
    “…Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. …”
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    Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS
  5. 2285
    “…The Observational Health Data Sciences and Informatics (OHDSI) initiative seeks to improve research reproducibility through open science. …”
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    Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI
  6. 2286
    “…They are the recent strides in behavioral economics and behavior science; advances in remote monitoring and personal health technologies; and developments in artificial intelligence and data sciences. These accelerants allow us to imagine a previously impossible vision—we can now build and maintain a unified health algorithm for every individual that can dynamically track the two interdependent streams of risk, clinical and behavioral.…”
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    A unified health algorithm that teaches itself to improve health outcomes for every individual: How far into the future is it?
  7. 2287
    “…We then used a set of Observational Health Data Sciences and Informatics (OHDSI) open-source tools to refine and validate the algorithms. …”
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    Using a data-driven approach for the development and evaluation of phenotype algorithms for systemic lupus erythematosus
  8. 2288
    por Mano, Shuhei
    Publicado 2018
    “…The topics discussed are simple problems, but the interdisciplinary approach of this book appeals to a wide audience with an interest in statistical inference on combinatorial stochastic processes, including statisticians who are developing statistical theories and methodologies, mathematicians wanting to discover applications of their theoretical results, and researchers working in various fields of data sciences.…”
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    Partitions, hypergeometric systems, and Dirichlet processes in statistics
  9. 2289
    “…We applied NLP techniques to extract both from 172 checks for Observational Health Data Sciences and Informatics (OHDSI) and 3,434 checks for Kaiser Permanente’s Center for Effectiveness and Safety Research (CESR). …”
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    A Data Element-Function Conceptual Model for Data Quality Checks
  10. 2290
    “…In response, the Observational Health Data Sciences and Informatics international collaborative launched the Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND) research initiative. …”
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    Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)
  11. 2291
    por Chandler, Rebecca E.
    Publicado 2020
    “…METHODS: Assessment of the statistical signal of “nintedanib – colitis” was undertaken using data from VigiBase, OHD from the Observational Heath Data Sciences and Informatics (OHDSI) collaborative, published literature, and openly available regulatory documents. …”
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    Nintedanib and ischemic colitis: Signal assessment with the integrated use of two types of real‐world evidence, spontaneous reports of suspected adverse drug reactions, and observational data from large health‐care databases
  12. 2292
    “…The experts recommended the creation of multidisciplinary taskforces dedicated to population sciences, data sciences, technology development and patient management with short-, intermediate- and long-term strategies. …”
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    Charting a roadmap for heart failure research in India: Insights from a qualitative survey
  13. 2293
    “…METHODS: At 10 months of age, mice expressing human wildtype alpha-synuclein under the Thy-1 promoter (Thy1-aSyn) and wildtype littermates underwent the subcutaneous implantation of a telemetry device (Data Sciences International) for the recording of electromyograms (EMG) and electroencephalograms (EEG) in freely moving animals. …”
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    Sleep Dysfunction and EEG Alterations in Mice Overexpressing Alpha-Synuclein
  14. 2294
    “…The Observational Medical Outcomes Partnership (OMOP) common data model and the Observational Health Data Sciences and Informatics (OHDSI) tools could be used as a core element in this initiative for harmonizing the terminologies used as well as facilitating the federation of research analyses across institutions. …”
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    Towards Implementation of OMOP in a German University Hospital Consortium
  15. 2295
    “…We investigate the ability to automatically, accurately, and inexpensively collect such data, which could help catalyze the transformation of many fields of ecology, wildlife biology, zoology, conservation biology, and animal behavior into “big data” sciences. Motion-sensor “camera traps” enable collecting wildlife pictures inexpensively, unobtrusively, and frequently. …”
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    Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
  16. 2296
    “…The offspring were allowed to reach adulthood before implantation with a radiotelemeter (Data Sciences International; HD-S10) in the femoral artery for undisturbed monitoring of systolic, diastolic and mean arterial blood pressure and heart rate. …”
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    SAT-719 Prenatal Exposure to Bisphenol A, S and F Increases Blood Pressure in Female Rats
  17. 2297
    “…METHODS: A retrospective, observational cohort study was conducted using electronic data from the Observational Health Data Sciences and Informatics database, assessing data from the University of Colorado Medical Campus and its affiliates. …”
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    Prescribing Patterns of Dupilumab for Atopic Dermatitis in Adults: Retrospective, Observational Cohort Study
  18. 2298
    “…A radiotelemeter transmitter (TA11PA-C10; Data Sciences, St. Paul, MN, USA) was placed on the left carotid of mice for investigation of cardiovascular side effects. …”
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    Analgesic and side effects of intravenous recombinant Phα1β
  19. 2299
    “…METHODS: We selected a clinically validated heart failure (HF) phenotype definition and translated it into CQL, then developed a CQL execution engine to integrate with the Observational Health Data Sciences and Informatics (OHDSI) platform. We executed the phenotype definition at two large academic medical centers, Northwestern Medicine and Weill Cornell Medicine, and conducted results verification (n = 100) to determine precision and recall. …”
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    Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language
  20. 2300
    por Tsonaka, Roula, Spitali, Pietro
    Publicado 2020
    “…Contact:s.tsonaka@lumc.nl Roula Tsonaka is an assistant professor at the Medical Statistics, Department of Biomedical Data Sciences, Leiden University Medical Center. Her research focuses on statistical methods for longitudinal omics data. …”
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    Negative Binomial mixed models estimated with the maximum likelihood method can be used for longitudinal RNAseq data
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