Showing 121 - 140 results of 186 for search '"health data"', query time: 0.05s Refine Results
  1. 121

    Hydrogeochemistry of Surface and Ground Water in Alatening Village, Northwest Region, Cameroon by Kahnji Iren Njoyim, Lucas Kengni, Margaret Awah Tita, Estella Njoyim Buleng Tamungang, Vitalis Fonfo Fonzenyuy, Bertrand Tatoh Aziwo

    Published 2020-01-01
    “…Faecal coliforms as well as specific bacteria such as Enterobacter, Escherichia coli, Streptococcus, Salmonella, and Shigella were found in all the water samples, attributable to poor hygiene. Health data in the locality indicated the prevalence of typhoid, dysentery, and amoebiasis with a total of 2702 cases recorded between 2016 and 2017, therefore requiring treatment before consumption.…”
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  2. 122
  3. 123

    A scoping review on the association between early childhood caries and life on land: The Sustainable Development Goal 15. by Morẹ Nikẹ Oluwátóyìn Foláyana, Robert J Schroth, Duangporn Duangthip, Ola B Al-Batayneh, Jorma I Virtanen, Ivy Guofang Sun, Arheiam Arheiam, Carlos A Feldens, Maha El Tantawi

    Published 2024-01-01
    “…Both publications were ecological studies relating environmental findings to aggregated health data at the area level. One study concluded that the eco-hydrogeological environment was associated with human health, including caries. …”
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  4. 124

    Blockchain enabled policy-based access control mechanism to restrict unauthorized access to electronic health records by Nadeem Yaqub, Jianbiao Zhang, Muhammad Irfan Khalid, Weiru Wang, Markus Helfert, Mansoor Ahmed, Jungsuk Kim

    Published 2025-01-01
    “…In the existing state of the art, there is a growing need for efficient access control approaches for the secure accessibility of patient health data by sustainable electronic health records. …”
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  5. 125

    Increase in blood pressure precedes distress behavior in nursing home residents with dementia. by Kenneth S Boockvar, Tianwen Huan, Kimberly Curyto, Sei Lee, Orna Intrator

    Published 2024-01-01
    “…<h4>Methods</h4>We identified long-stay Veterans Affairs NH residents with dementia in 2019-20 electronic health data. Each individual with a BP reading and a DBD incident according to a structured behavior note on a calendar day (DBD group) was compared with an individual with a BP reading but without a DBD incident on that same day (comparison group). …”
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  6. 126
  7. 127

    Digital health technologies and innovation patterns in diabetes ecosystems by Odile-Florence Giger, Estelle Pfitzer, Wasu Mekniran, Hannes Gebhardt, Elgar Fleisch, Mia Jovanova, Tobias Kowatsch

    Published 2025-02-01
    “…Visualizing the value streams among these organizations highlights the crucial importance of individual health data (RQ2). Furthermore, our analysis revealed four major innovation patterns within the digital diabetes ecosystem: open ecosystem strategies, outcome-based payment models, platformization, and user-centric software (RQ3). …”
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  8. 128

    Lifespan cardiometabolic exposures are associated with midlife white matter microstructure: The Bogalusa Heart Study by Reagan Dugan, Sreekrishna Ramakrishnapillai, Julia St Amant, Kori Murray, Kevin McKlveen, Maryam Naseri, Kaitlyn Madden, Lydia Bazzano, Owen Carmichael

    Published 2025-02-01
    “…However, studies relating compartment model microstructural measures to longitudinal cardiometabolic health data are rare. Methods: 130 cognitively healthy participants in the Bogalusa Heart Study completed diffusion MRI scans. …”
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  9. 129

    Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

    Published 2024-01-01
    “…International Classification of Diseases (ICD), Tenth Revision (ICD-10) codes are used to classify injuries in administrative health data and are widely used for health care planning and delivery, research, and policy. …”
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  10. 130

    Googling Patients by Emily Beer

    Published 2022-11-01
    “…An important part of our social discourse on health, data security, and privacy involves how we treat or ought to treat that data and what protections we should afford to patients as consumers. …”
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  11. 131
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  13. 133

    Household air pollution exposure and risk of tuberculosis: a case–control study of women in Lilongwe, Malawi by Kenneth Maleta, Robert Krysiak, Irving Hoffman, Sam Phiri, Pamela Jagger, Ryan McCord, Anna Gallerani, Charles Jumbe, Joseph Pedit

    Published 2024-07-01
    “…While household air pollution (HAP) emitted from burning these fuels has well-established links to numerous health outcomes, the relationship between active tuberculosis (TB) and HAP exposure remains inconclusive.Methods We explore the association between HAP exposure and TB among adult women in Lilongwe’s high-density suburbs using hospital and community-based health data, objectively measured exposure to HAP, and sociodemographic data controlling for individual, household and community-level confounders. …”
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  14. 134
  15. 135

    How far? Travel burdens for children admitted to hospitals in the Western Cape Province of South Africa by M Richards, D le Roux, D Pienaar

    Published 2024-04-01
    “…The recently established data gathering capacity of the Provincial Health Data Centre of the Western Cape represents a new capacity to study this. …”
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  16. 136

    Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine by Yi Guo, Hua Xu, Fei Wang, Jie Xu, Jiang Bian, Robert Lucero, Mattia Prosperi

    Published 2022-06-01
    “…Introduction While there are guidelines for reporting on observational studies (eg, Strengthening the Reporting of Observational Studies in Epidemiology, Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement), estimation of causal effects from both observational data and randomised experiments (eg, A Guideline for Reporting Mediation Analyses of Randomised Trials and Observational Studies, Consolidated Standards of Reporting Trials, PATH) and on prediction modelling (eg, Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis), none is purposely made for deriving and validating models from observational data to predict counterfactuals for individuals on one or more possible interventions, on the basis of given (or inferred) causal structures. …”
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  17. 137

    Variation in the incidence of type 1 diabetes mellitus in children and adolescents by world region and country income group: A scoping review. by Apoorva Gomber, Zachary J Ward, Carlo Ross, Maira Owais, Carol Mita, Jennifer M Yeh, Ché L Reddy, Rifat Atun

    Published 2022-01-01
    “…<h4>Methods</h4>We performed a scoping review of published studies that established the incidence of T1D in children, adolescents, and young adults aged 0-25 years at national and sub-national levels using PubMed, Embase and Global Health. Data was analyzed using R programming.<h4>Results</h4>The scoping review identified 237 studies which included T1D incidence estimates from 92 countries, revealing substantial variability in the annual incidence of T1D by age, geographic region, and country-income classification. …”
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  18. 138

    Association between Healthy Eating Index-2020, alternative Mediterranean Diet scores, and gastrointestinal cancer risk in NHANES 2005–2018 by Weijie Wang, Yu Chang, Geng Chen

    Published 2025-02-01
    “…In our sub-analysis, we focused on participants with complete dietary and health data, specifically assessing the relationship between diet quality and GI cancers outcomes. …”
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  19. 139

    AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

    Published 2025-01-01
    “…An edge/fog computing environment, paired with current computing techniques, is the answer to fulfill the energy efficiency and latency requirements for the real-time collection and analysis of health data. Additionally, the Internet of Things (IoT) revolution has been essential in changing contemporary healthcare systems by integrating social, economic, and technological perspectives. …”
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  20. 140

    A systematic review and meta-analysis of prevalence of seven psychiatric disorders in India by Vikas Dhiman, Geetha R. Menon, Rajnarayan R. Tiwari

    Published 2023-11-01
    “…Materials and Methods: We performed a systematic bibliographic search in Pub Med, Global Health Data Exchange (GHDx), and Google Scholar, along with a manual search for peer-reviewed epidemiological studies reporting the prevalence of depression, AUD, AD, MR, suicidal attempt/death, autism, and BD in India from January 1980 till March 2022. …”
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