Showing 3,721 - 3,740 results of 4,968 for search 'data set detection', query time: 0.25s Refine Results
  1. 3721

    Global trends and disparities in ischemic heart disease attributable to high systolic blood pressure, 1990-2021: Insights from the global burden of disease study. by Zhenhua Zhuang, Qiuju Wang, Haifeng Li, Shenghong Lan, Yanru Su, Yue Lin, Peng Guo

    Published 2025-01-01
    “…<h4>Conclusion</h4>This study underscores the significant global burden of IHD attributable to HSBP, with substantial heterogeneity by sex, age, and geographic setting. The findings emphasize the need for context-specific public health interventions, such as intensified hypertension screening, early detection, and management strategies.…”
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  2. 3722

    Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques by Mohammed Tareq Mutar, Jaffar Nouri Alalsaidissa, Mustafa Majid Hameed, Ali Almothaffar

    Published 2025-01-01
    “…Two stain normalization techniques were used in this study; Reinhard and Mackenko techniques. The data were split into training and testing sets with a ratio of (8:2). …”
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  3. 3723

    Unveiling the Gut Mysteries of Enteric Duplication Cysts: A Case Series of Nine Cases by Jaydeep N. Pol, Priya N. Hombalkar, Anand A. Bhosale, Rashmi G. Sawant, Vivek J. Dugad, Ajay L. Sabnis

    Published 2025-03-01
    “…Methods: This case series comprises nine cases retrieved from February 2014 to January 2024, and includes a rare adult case of an enteric duplication cyst. Data were collected, tabulated, and analyzed by descriptive statistics using Microsoft Excel 2016. …”
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  4. 3724

    Nurses’ perceptions of screening for delirium in the Post Anaesthesia Care Unit and orthopaedic surgical wards: A qualitative study by Rami Aldwikat, Elizabeth Manias, Pat Nicholson

    Published 2023-03-01
    “… Purpose: This study explored nurses’ perceptions of the usability and clinical utility of two screening tools for delirium detection in the Post Anaesthesia Care Unit (PACU) and orthopaedic surgical wards settings, and identified nurses’ decisions about patient care delivery based on delirium assessment outcomes. …”
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  5. 3725

    Occurrence and diversity of Campylobacter species in diarrheic children and their exposure environments in Ethiopia. by Dinaol Belina, Tesfaye Gobena, Ameha Kebede, Meseret Chimdessa, Bahar Mummed, Cecilie Amalie Neijendam Thystrup, Tine Hald

    Published 2024-01-01
    “…The overall Campylobacter prevalence in the exposure sources was 5.5%, with 6.0% in urban and 5.0% in rural settings. Campylobacter detection was 1.8 times more likely in household samples (8.7%; OR = 1.8; 95% CI: 0.7-4.5) than in samples from marketplaces. …”
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  6. 3726
  7. 3727

    Seroprevalence of Antibodies to <i>Brucella</i> spp. and <i>Neospora caninum</i> in Cattle from Delta Region of Egypt: Correlation of Seropositivity with Abortion History by Ragab M. Fereig, Amira M. Mazeed, Azzah S. Alharbi, Mona Z. Abdelraheem, Mosaab A. Omar, Abdulaziz M. Almuzaini, Mohamed El-Diasty, Hend I. Elsharkawy, Kamel Sobhy, Caroline F. Frey, Gamal Wareth

    Published 2024-10-01
    “…Based on our data, despite the higher seroprevalence of <i>N. caninum</i> compared to that of <i>Brucella</i> species, <i>Brucella</i> spp. might be the primary cause of abortion in our tested cattle population.…”
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  8. 3728
  9. 3729

    Determination of a normal orogenic palaeo-geothermal gradient with clay mineral and organic matter indices: a review by Rafael Ferreiro Mählmann, Meinert Rahn, Sébastien Potel, Lan Nguyen-Thanh, Rainer Petschick

    Published 2024-09-01
    “…Abstract A collection of large data sets from different orogenic belts was compiled for a correlation between organic matter (OM) versus clay mineral (CM) indices calibrated with the vitrinite reflectance, (VR) vs Kübler-Indices (KI) method. …”
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  10. 3730

    Pathway of effects of adverse childhood experiences on psychological distress and substance use among emerging adults: A structural equation modeling approach by Ajith K. Remesan, Varalakshmi Chandra Sekaran, Satyanarayana Poojari, Teddy Andrews Jaihind Jothikaran, Vani Lakshmi R, Lena Ashok

    Published 2025-07-01
    “…A multi-stage cluster random sampling method was employed to select 12 colleges from the undergraduate institutions in the district affiliated with Mangalore University based on their various courses. Data was collected in a classroom setting among 957 emerging adults between June 2023 and October 2023. …”
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  11. 3731

    SCONe: a community-acquired retinal image repository enabling ocular, cardiovascular and neurodegenerative disease prediction by Tom Macgillivray, Andrew J Tatham, Niall Strang, Baljean Dhillon, Robert Wallace, Heather Anderson, Miguel O Bernabeu, Claire Tochel, Alice McTrusty, Emma Pead, Fiona Buckmaster, Jonathan Penny, Malihe Javidi, Ana Paula Rubio, Jamie B R Kidd, Ruairidh MacLeod

    Published 2025-05-01
    “…Objectives To safeguard Scotland’s community-acquired retinal images (colour fundus photographs) in a secure, centrally held repository and support a variety of research including ocular, neurodegenerative and systemic disease prediction.Design Retinal images captured in optometry practices linked to national, routinely collected, longitudinal healthcare data.Setting Community optometry and the Public Health Scotland National Safe Haven.Participants Adults (mostly aged 60+) who have attended their optometrist since 2006 for an eye examination during which a retinal image was captured.Main outcome measures Successful retrieval of linkable colour fundus photographs from systems in use in practice and delivery to the Safe Haven for linkage and secure storage.Results Scottish Collaborative Optometry-Ophthalmology Network e-research (SCONe) currently contains over 367 000 retinal images matched to over 36 000 patients. …”
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  12. 3732

    A Comparative Study on the Multidimensional Features of Hereditary and Sporadic Medullary Thyroid Carcinoma Patients: A Single-Center Retrospective Study by Muzaffer Serdar Deniz, Narin Nasiroglu Imga, Belma Ozlem Tural Balsak, Asiye Safak Bulut, Furkan Savas, Busranur Cavdarli, Cevdet Aydin, Oya Topaloglu, Reyhan Ersoy, Bekir Cakir

    Published 2025-06-01
    “…This study compares the clinicopathological features of sporadic medullary thyroid carcinoma (sMTC) and hereditary medullary thyroid carcinoma (hMTC) using real-world data to provide risk factors that aid in the early detection of the disease. …”
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  13. 3733

    Regulation of land use conflicts at indigenous peoples lands based on blockchain platform, russian arctic case study by A. V. Evseev, T. M. Krasovskaya, V. S. Tikunov, I. N. Tikunova

    Published 2023-01-01
    “…The procedure of conflict detection and forecast for a certain territory is based on separate data sets analysis by independent stakeholders. …”
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  14. 3734

    Chemometric approach to quality characterization of milk-based kombucha beverages by Jasmina Vitas, Milica Karadžić Banjac, Strahinja Kovačević, Stefan Vukmanović, Lidija Jevrić, Radomir Malbaša, Sanja Podunavac-Kuzmanović

    Published 2021-01-01
    “…Linear discriminant analysis (LDA) was conducted on the raw data set in order to find a rule for allocating a new sample of unknown origin to the correct group of samples. …”
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  15. 3735

    Chemometric approach to quality characterization of milk-based kombucha beverages by Jasmina Vitas, Milica Karadžić Banjac, Strahinja Kovačević, Stefan Vukmanović, Lidija Jevrić, Radomir Malbaša, Sanja Podunavac-Kuzmanović

    Published 2021-01-01
    “…Linear discriminant analysis (LDA) was conducted on the raw data set in order to find a rule for allocating a new sample of unknown origin to the correct group of samples. …”
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    Article
  16. 3736

    Efficacy of using a digital health intervention model using community health workers for primary health services in Bangladesh: a repeated cross-sectional observational study by Marzia Zaman, Rubaiyat Alim Hridhee, Refat Ahmed Bhuiyan, Charles Aunkan Gomes, Md. Mashiar Rahman, Sheikh Mohammed Shariful Islam, Farhana Sarker, Khondaker A. Mamun

    Published 2025-05-01
    “…Conclusion This study highlights the feasibility and effectiveness of digital health interventions in enhancing primary healthcare in rural settings. Integration of AI-driven decision support with CHW-led health education and screenings can improve early detection, intervention and management of non-communicable diseases (NCDs). …”
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  17. 3737

    Assessing the effectiveness of LiDAR-based apps on Apple devices to survey indoor and outdoor medium sized areas by D. Treccani, A. Adami, L. Fregonese

    Published 2024-12-01
    “…In 2020, Apple started to include a LiDAR (Light Detection And Ranging) sensor on its high-end mobile devices. …”
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  18. 3738

    Factors predicting delirium among hospitalized older adults in an urban area, Thailand: A prospective cohort study by Duangrat Kaveenuntachai, Naphatthorn Prueksaanantakal, Pirunnapa Benyapad, Pratin Chinpinkleaw, Sirichai Jiojinda

    Published 2025-04-01
    “…Understanding the predictors of delirium is crucial for early detection and prevention, particularly in an urban hospital setting. …”
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  19. 3739

    Assessing the prevalence of non-communicable diseases and their modifiable risk factors in primary healthcare: retrospective analysis of annual health screening in the United Arab... by Hayfa Hamad Al Ali, Aisha Suhail, Micha Gerard Constant Bouts, Fatima Al Meleh, Kareemah Al Raeesi

    Published 2025-08-01
    “…This retrospective cross-sectional study analysed HSP data collected from April 2021 to December 2023.Setting Primary healthcare centres in the UAE.Participants 34 290 participants in the HSP who were screened for the first time.Results Of the participants, 60.4% were female, and 51.8% were 18–39 years old. …”
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  20. 3740

    Comparison of salivary statherin and beta-defensin-2 levels, oral health behaviors, and demographic factors in children with and without early childhood caries by Maryam Koopaie, Faezeh Khajehreza Shahri, Roshanak Montazeri, Sajad Kolahdooz, Majid Mardani Shahri, Elham Moshkbouy

    Published 2025-05-01
    “…Machine learning models integrating clinical, demographic, and salivary data provide a robust tool for detection and targeted prevention strategies. …”
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