Showing 161 - 180 results of 186 for search '"health data"', query time: 0.09s Refine Results
  1. 161

    Neonatal indicator data in Tanzania District Health Information System: evaluation of availability and quality of selected newborn indicators, 2015-2022 by Josephine Shabani, Nahya Salim, Christine Bohne, Louise Tina Day, Claud Kumalija, Ahmad Mohamed Makuwani, Felix Bundala, Habib Ismail, Joy E. Lawn, Eric O. Ohuma

    Published 2025-01-01
    “…The District Health Information System (DHIS2), an open-source platform in over 80 countries, supports health data collection and analysis, enabling progress tracking at national and subnational levels. …”
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    Article
  2. 162

    The Global Burden of Polycystic Ovary Syndrome in Women of Reproductive Age: Findings from the GBD 2019 Study by Jiang B

    Published 2025-01-01
    “…This aims to furnish critical insights for future health policy development and adjustments in the realm of female endocrine and metabolic health.Patients and Methods: This study employed the Global Health Data Exchange to obtain PCOS burden data based on GBD 2019. …”
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  3. 163
  4. 164

    Outcomes of Idecabtagene Vicleucel Therapy in Patients with Relapsed/Refractory Multiple Myeloma: A Single-Institution Experience by Aaron Trando, Farid Ghamsari, Philip Yeung, Caitlin Costello, Ila Saunders, Ah-Reum Jeong

    Published 2024-12-01
    “…<b>Methods:</b> We performed a single-center retrospective analysis of 25 adult patients with R/R MM who received ide-cel between 2021 and 2023 at the University of California San Diego Health. Data on baseline characteristics, efficacy, safety, and post-relapse outcomes were collected. …”
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  5. 165

    Painting a portrait: Analysis of national health survey data for cancer genetic counseling by Monica H. Stamp, Ora K. Gordon, Christopher P. Childers, Kimberly K. Childers

    Published 2019-03-01
    “…Methods Utilizing the 2015 National Health Interview Survey (NHIS)—a cross‐sectional, in person interview survey collecting self‐reported health data for the US population—geographic and sociodemographic factors were compared between those receiving genetic counseling and the national sample. …”
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  6. 166

    Expansion and Assessment of a Web-Based 24-Hour Dietary Recall Tool, Foodbook24, for Use Among Diverse Populations Living in Ireland: Comparative Analysis by Grace Bennett, Shuhua Yang, Laura A Bardon, Claire M Timon, Eileen R Gibney

    Published 2025-02-01
    “… BackgroundCurrently, the methods used to collect dietary intake data in Ireland are inflexible to the needs of certain populations, who are poorly represented in nutrition and health data as a result. As the Irish population is becoming increasingly diverse, there is an urgent need to understand the habitual food intake and diet quality of multiple population subgroups, including different nationalities and ethnic minorities, in Ireland. …”
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  7. 167

    Association between exposure to ambient air pollutants and metabolic syndrome in the vicinity of the Taklamakan Desert by Zhe Wang, Weidong Ji, Yushan Wang, Lin Li, Kai Wang, Hongze Liu, Yining Yang, Yi Zhou

    Published 2025-01-01
    “…Background: Air pollution is a recognized contributor to metabolic syndrome (MetS); but studies in developing regions, including China, remain limited, especially in severely polluted areas near the Taklamakan Desert. Methods: Health data from 2,689,455 individuals aged ≥ 18 years in five regions near the Taklamakan Desert were analyzed. …”
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  8. 168

    Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world compar... by Rohan Khera, Yuan Lu, Harlan M Krumholz, Martijn J Schuemie, Ruijun Chen, George Hripcsak, Marc A Suchard, Patrick B Ryan, Anna Ostropolets

    Published 2022-06-01
    “…LEGEND-T2DM will leverage the Observational Health Data Sciences and Informatics (OHDSI) community that provides access to a global network of administrative claims and electronic health record data sources, representing 190 million patients in the USA and about 50 million internationally. …”
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  9. 169

    Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Tha... by Aprajita Kaushik, Capucine Barcellona, Nikita Kanumoory Mandyam, Si Ying Tan, Jasper Tromp

    Published 2025-02-01
    “…In Thailand, inconsistent data systems, limited staff time, low health data literacy, complex and unclear policies, and cybersecurity issues were important data-sharing challenges. …”
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  10. 170
  11. 171

    Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

    Published 2025-01-01
    “…In addition, incorporating wearable device integration and predictive analytics could provide real-time health data, optimizing activity recommendations and health monitoring. …”
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  12. 172

    Sangre Por Salud (SPS) Biobank: cohort profile by Richard R Sharp, Euijung Ryu, Janet E Olson, Karen Meagher, James R Cerhan, Davinder Singh, Suzette Bielinski, Emmil Zarrugh, Marlene E Girardo, Giovanna Moreno Garzon, Valentina Hernandez, Sharon Levey, Crystal Gonzalez, Daniela B Pompa, Gabriel Q Shaibi, Lawrence Mandarino, Steven Thibodeau, Elena De Filippis

    Published 2025-02-01
    “…At time of recruitment, hypertension, hyperlipidaemia and depression affected 22%, 20% and 13% of the cohort, respectively.Future plans We plan to regularly update the participants’ electronic health records and self-reported health data to longitudinal research. Additionally, we plan to obtain a more comprehensive genomic analysis on the entire cohort, ensuring greater research interest and investigation into the underlying genetic factors that contribute to disease susceptibility in this cohort.…”
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  13. 173

    Cohort profile: the Western Cape Pregnancy Exposure Registry (WCPER) by Landon Myer, Amy L Slogrove, Ushma Mehta, Mary-Ann Davies, Max Kroon, Greg Petro, Alexa Heekes, Andrew Boulle, Karen Fieggen, Chantal Stewart, Ayesha Osman, Natasha Rhoda, Emma Kalk, Florence Phelanyane, Jonathan Euvrard, Stefan Gebhardt, Kim Anderson

    Published 2022-06-01
    “…The PER is situated within the Provincial Health Data Centre, an information exchange that harmonises and consolidates all health-related electronic data in the province. …”
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  14. 174

    Lifetime history of concussion among children and adolescents with attention-deficit/hyperactivity disorder: examining differences stratified by age, medication status, and parent-... by Julia E. Maietta, Julia E. Maietta, Julia E. Maietta, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Nathan E. Cook, Nathan E. Cook, Nathan E. Cook, Nathan E. Cook

    Published 2025-01-01
    “…We investigated the association between parent-reported ADHD, ADHD severity, and medication status with parent-reported lifetime concussion history in children and adolescents ranging in age from 5 to 17, sampled from the United States general population.MethodsParent reported health data from 33,914 children and adolescents were selected from the 2021 National Survey of Children’s Health. …”
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  16. 176

    Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana by Wenjun Li, Meng Zhang, Jie Cheng, Sandra L. Jackson, Adam S. Vaughan, Michael Klompas, Thomas W. Carton, Elizabeth Nauman, Lee Mendoza, Arun Adhikari, Jeanie Donovan, Katherine H. Hohman

    Published 2025-02-01
    “…Abstract Background Modernization of public health data systems is a national priority. Improved chronic disease surveillance can provide more timely, accurate, and local measures to inform public health policy and intervention. …”
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  17. 177

    Penerapan Metode K-Means Clustering dan Simple Moving Average untuk Memprediksi Jenis Penyakit di Provinsi Jawa Timur by Shynta Ayu Dwi Darmawan, Karmilasari

    Published 2024-08-01
    “…The K-Means Clustering method divides data into groups based on similar characteristics, making it easier to identify patterns and trends hidden in health data. Simple Moving Average uses the average of past data to smooth out short-term changes and find long-term patterns. …”
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