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  1. 2221
    “…METHODOLOGY: We propose a methodology anchored in data science methods to integrate situational context in the descriptive and predictive models of traffic data, with a focus on the three following major spatiotemporal traffic data structures: i) georeferenced time series data; ii) origin-destination tensor data; iii) raw traffic event data. …”
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    On how to incorporate public sources of situational context in descriptive and predictive models of traffic data
  2. 2222
    “…Using CDISC will help link clinical trial data and RWD and promote innovation in health data science.…”
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    Use of Clinical Data Interchange Standards Consortium (CDISC) Standards for Real-world Data: Expert Perspectives From a Qualitative Delphi Survey
  3. 2223
    “…Pregnant women in their 12–13 + 6 weeks of gestation admitted for routine first-trimester anomaly scan will be consecutively included in a two-year study, depending on the availability of the experienced sonographers in early fetal cardiac imaging involved in this research. The Data Science / IT department (DSIT) will process the key planes identified by the sonographers in the two- dimensional heart cine loop sweeps: four-chamber view, left and right ventricular outflow tracts, three vessels, and trachea view. …”
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    Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography
  4. 2224
    por Emeriaud, Guillaume, López-Fernández, Yolanda M., Iyer, Narayan Prabhu, Bembea, Melania M., Agulnik, Asya, Barbaro, Ryan P., Baudin, Florent, Bhalla, Anoopindar, Brunow de Carvalho, Werther, Carroll, Christopher L., Cheifetz, Ira M., Chisti, Mohammod J., Cruces, Pablo, Curley, Martha A. Q., Dahmer, Mary K., Dalton, Heidi J., Erickson, Simon J., Essouri, Sandrine, Fernández, Analía, Flori, Heidi R., Grunwell, Jocelyn R., Jouvet, Philippe, Killien, Elizabeth Y., Kneyber, Martin C. J., Kudchadkar, Sapna R., Korang, Steven Kwasi, Lee, Jan Hau, Macrae, Duncan J., Maddux, Aline, Modesto i Alapont, Vicent, Morrow, Brenda M., Nadkarni, Vinay M., Napolitano, Natalie, Newth, Christopher J. L., Pons-Odena, Martí, Quasney, Michael W., Rajapreyar, Prakadeshwari, Rambaud, Jerome, Randolph, Adrienne G., Rimensberger, Peter, Rowan, Courtney M., Sanchez-Pinto, L. Nelson, Sapru, Anil, Sauthier, Michael, Shein, Steve L., Smith, Lincoln S., Steffen, Katerine, Takeuchi, Muneyuki, Thomas, Neal J., Tse, Sze Man, Valentine, Stacey, Ward, Shan, Watson, R. Scott, Yehya, Nadir, Zimmerman, Jerry J., Khemani, Robinder G.
    Publicado 2023
    “…MEASUREMENTS AND MAIN RESULTS: Eleven subgroups conducted systematic or scoping reviews addressing 11 topic areas: 1) definition, incidence, and epidemiology; 2) pathobiology, severity, and risk stratification; 3) ventilatory support; 4) pulmonary-specific ancillary treatment; 5) nonpulmonary treatment; 6) monitoring; 7) noninvasive respiratory support; 8) extracorporeal support; 9) morbidity and long-term outcomes; 10) clinical informatics and data science; and 11) resource-limited settings. The search included MEDLINE, EMBASE, and CINAHL Complete (EBSCOhost) and was updated in March 2022. …”
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    Executive Summary of the Second International Guidelines for the Diagnosis and Management of Pediatric Acute Respiratory Distress Syndrome (PALICC-2)
  5. 2225
    “…A large population-based case-control study was conducted from claim databases of Taiwan’s Health and Welfare Data Science Center (2000–2016) and linked with Taiwan Cancer Registry (1979–2016). …”
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    Renin-Angiotensin-Aldosterone System Inhibitors and Development of Gynecologic Cancers: A 23 Million Individual Population-Based Study
  6. 2226
    “…Combining qualitative insights from clinical practice with data-science approaches may improve DL-assisted practice, although further research is required. …”
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    Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis
  7. 2227
    “…These 24/7 clinical data streams yield large quantities of high-frequency data, which are challenging in terms of interpretation due to the varying and dynamic physiology innate to cCHD. Through advanced data science algorithms, these dynamic data can be condensed into comprehensible information, reducing the cognitive load on the medical team and providing data-driven monitoring support through automated detection of clinical deterioration, which may facilitate timely intervention. …”
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    Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development
  8. 2228
    “…Several multinational partnerships, including a recent agreement between the United States and the European Union, are adopting these techniques for next-generation data science. While these approaches are promising, there is no clear and robust evidence synthesis of health care applications. …”
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    Comparing Decentralized Learning Methods for Health Data Models to Nondecentralized Alternatives: Protocol for a Systematic Review
  9. 2229
    “…BACKGROUND: With the advent of data-intensive science, a full integration of big data science and health care will bring a cross-field revolution to the medical community in China. …”
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    Big Data Health Care Platform With Multisource Heterogeneous Data Integration and Massive High-Dimensional Data Governance for Large Hospitals: Design, Development, and Application
  10. 2230
    “…CONCLUSIONS: MenuTracker is a valuable resource that harnesses the power of data science techniques to use publicly available data online. …”
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    Monitoring the Nutrient Composition of Food Prepared Out-of-Home in the United Kingdom: Database Development and Case Study
  11. 2231
    “…Methods: A nationwide population-based, nested case-control study was conducted within Taiwan’s Health and Welfare Data Science Center’s databases (2000–2016) and linked to pathologically confirmed cancer data from the Taiwan Cancer Registry (1979–2016). …”
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    Association between Proton Pump Inhibitor Use and the Risk of Female Cancers: A Nested Case-Control Study of 23 Million Individuals
  12. 2232
    “…The application of deep-learning data-science tools has been less well-evaluated in the preclinical setting, including in nonhuman primate (NHP) models of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection/COVID-19, in which the translation of human-derived deep-learning tools is challenging. …”
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    Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models
  13. 2233
    por Dedecker, Ruben
    Publicado 2023
    “…He teaches Linked Data and Solid in the Flemish AI Academy courses for for applied sciences in Flanders, and assistant teacher on Web Development and Big Data Science courses at Ghent University.</span></p><p class="MsoNormal">&nbsp;</p>…”
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    2nd Series on Data Protection - Control your data on the Web: An introduction to Solid and Linked Data
  14. 2234
    “…BACKGROUND: The secondary use of health data is central to biomedical research in the era of data science and precision medicine. National and international initiatives, such as the Global Open Findable, Accessible, Interoperable, and Reusable (GO FAIR) initiative, are supporting this approach in different ways (eg, making the sharing of research data mandatory or improving the legal and ethical frameworks). …”
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    Use and Understanding of Anonymization and De-Identification in the Biomedical Literature: Scoping Review
  15. 2235
    “…Extensive health utilisation data collection through electronic health records (EHR) and claims data represent new opportunities for scientific discovery. Big data science (BDS) is a powerful tool for investigating HIV care utilisation patterns. …”
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    Using big data analytics to improve HIV medical care utilisation in South Carolina: A study protocol
  16. 2236
    “…Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research. …”
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    Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation
  17. 2237
    por Botero-Mesa, Sara, Coelho, Flavio Codeço, Nwosu, Kenechukwu, Wicht, Bertil, Venkatasubramanian, Akarsh, Wagner, Olena, Valera, Camille, Nguimbis, Benedict, Câmara, Daniel, Reis, Izabel, Bianchi, Lucas, Mahdiani, Morteza, Onsimbie, Papy Ansobi, Diallo, Papa Amadou Niang, Jacques, Léa, Muloliwa, Artur Manuel, Bougma, Moussa, Mukavhi, Leckson, Kaneria, Adit, Peruvemba, Ram, Gupta, Ajay, Triulzi, Isotta, James, Ananthu, Carrara, Verena, Ngambi, Wingston, Habibi, Zahra, Adhanom, Michael Tedros, Rodriguez Velásquez, Sabina, Sestito, Paolo, Kousil, Timokleia, Biru, Loza, Vivacqua, Daniela, Dalal, Jyoti, Mian, Anatole, Roelens, Maroussia, Orel, Erol, Hofer, Cristina Barroso, Wangara, Fatihiyya, Mboussou, Franck, Mlanda, Tamayi, Bukhari, Arish, Lee, Theresa Min-Hyung, Ngom, Roland, Stoll, Beat, Chimbetete, Cleophas, Abbate, Jessica, Impouma, Benido, Keiser, Olivia
    Publicado 2022
    “…Given the urgency of the situation and the magnitude of work required, we recruited a worldwide network of field experts, academics and students in the areas of public health, data science and social science to support the effort. …”
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    Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response
  18. 2238
    “…FUNDING: British Heart Foundation Data Science Centre, led by Health Data Research UK.…”
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    COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
  19. 2239
    “…Our results also point to the potential of data science and natural language processing to analyze microlevel conversational data and identify factors influencing participant engagement. …”
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    Predicting Participant Engagement in a Social Media–Delivered Lifestyle Intervention Using Microlevel Conversational Data: Secondary Analysis of Data From a Pilot Randomized Controlled Trial
  20. 2240
    “…METHODS: This population-based retrospective matched cohort study retrieved patients with cancer and mental disorder (aged ≥ 20 years) from the Ministry of Health and Welfare Data Science Center 2005–2015 database. 321,045 patients were divided based on having one or both diseases, as well as on the sequence of mental disorder and cancer diagnosis. …”
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    Disparities in the medical expenditures of patients with cancer and concomitant mental disorder: analyzing the effects of diagnosis sequence order
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