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Neonatal indicator data in Tanzania District Health Information System: evaluation of availability and quality of selected newborn indicators, 2015-2022
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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162
The Global Burden of Polycystic Ovary Syndrome in Women of Reproductive Age: Findings from the GBD 2019 Study
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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163
Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI)
Published 2025-02-01“…Following Findable, Accessible, Interoperable, Reusable principles, AI-READI can be viewed as a model for future efforts to develop other medical/health data sets targeted for AI/ML. AI-READI opens the door for novel insights in understanding T2DM salutogenesis. …”
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Outcomes of Idecabtagene Vicleucel Therapy in Patients with Relapsed/Refractory Multiple Myeloma: A Single-Institution Experience
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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165
Painting a portrait: Analysis of national health survey data for cancer genetic counseling
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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166
Expansion and Assessment of a Web-Based 24-Hour Dietary Recall Tool, Foodbook24, for Use Among Diverse Populations Living in Ireland: Comparative Analysis
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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167
Association between exposure to ambient air pollutants and metabolic syndrome in the vicinity of the Taklamakan Desert
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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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...
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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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...
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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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
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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172
Sangre Por Salud (SPS) Biobank: cohort profile
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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Cohort profile: the Western Cape Pregnancy Exposure Registry (WCPER)
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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174
Lifetime history of concussion among children and adolescents with attention-deficit/hyperactivity disorder: examining differences stratified by age, medication status, and parent-...
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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Genome-wide association analysis of composite sleep health scores in 413,904 individuals
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176
Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana
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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Penerapan Metode K-Means Clustering dan Simple Moving Average untuk Memprediksi Jenis Penyakit di Provinsi Jawa Timur
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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Life after prostate cancer diagnosis: protocol for a UK-wide patient-reported outcomes study
Published 2016-12-01“…The outcome data will be linked with administrative health data (eg, treatment information from hospital data). …”
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