يعرض 1 - 10 نتائج من 95 نتيجة بحث عن '"Ammar, Nariman"', وقت الاستعلام: 0.88s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation

    المؤلفون: Alghatani, Khalid, Ammar, Nariman, Rezgui, Abdelmounaam, Shaban-Nejad, Arash

    المصدر: JMIR Medical Informatics, Vol 9, Iss 5, p e21347 (2021)

    مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: https://medinform.jmir.org/2021/5/e21347; https://doaj.org/toc/2291-9694

    URL الوصول: https://doaj.org/article/c99ac9f018b34e73966426cb3a82f94e

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  2. 2
    دورية أكاديمية
    Using a Personal Health Library–Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data

    المؤلفون: Ammar, Nariman, Bailey, James E, Davis, Robert L, Shaban-Nejad, Arash

    المصدر: JMIR Formative Research, Vol 5, Iss 3, p e24738 (2021)

    مصطلحات موضوعية: Medicine

    وصف الملف: electronic resource

    Relation: https://formative.jmir.org/2021/3/e24738; https://doaj.org/toc/2561-326X

    URL الوصول: https://doaj.org/article/89e01be3be614ff1802ab212990003db

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  3. 3
    مؤتمر
    Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning

    المؤلفون: Alghatani, Khalid, Rezgui, Abdelmounaam, Ammar, Nariman

    المصدر: 2023 IEEE Symposium on Computers and Communications (ISCC) Computers and Communications (ISCC), 2023 IEEE Symposium on. :1-4 Jul, 2023

    Relation: 2023 IEEE Symposium on Computers and Communications (ISCC)

    Full Text Finder
    أضف إلى المفضلة
  4. 4
    دورية أكاديمية
    Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development

    المؤلفون: Ammar, Nariman, Shaban-Nejad, Arash

    المصدر: JMIR Medical Informatics, Vol 8, Iss 11, p e18752 (2020)

    مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: https://medinform.jmir.org/2020/11/e18752/; https://doaj.org/toc/2291-9694

    URL الوصول: https://doaj.org/article/dc94cd72b25f4eb09fb4156c6d0b5f6d

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  5. 5
    مؤتمر
    SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs)

    المؤلفون: Ammar, Nariman, Zareie, Parya, Hare, Marion E, Rogers, Lisa, Madubuonwu, Sandra, Yaun, Jason, Shaban-Nejad, Arash

    المصدر: 2021 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2021 IEEE International Conference on. :5843-5847 Dec, 2021

    Relation: 2021 IEEE International Conference on Big Data (Big Data)

    أضف إلى المفضلة
  6. 6
    مؤتمر
    UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research

    المؤلفون: Brakefield, Whitney S, Ammar, Nariman, Shaban-Nejad, Arash

    المصدر: 2021 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2021 IEEE International Conference on. :5854-5858 Dec, 2021

    Relation: 2021 IEEE International Conference on Big Data (Big Data)

    أضف إلى المفضلة
  7. 7
    تقرير
    An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model

    المؤلفون: Brakefield, Whitney S, Ammar, Nariman, Shaban-Nejad, Arash

    المصدر: JMIR Form Res. 2022 Jul 20;6(7):e36055. PMID: 35857363

    مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Computer Science - Information Retrieval, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2208.04144

    أضف إلى المفضلة
  8. 8
    دورية أكاديمية
    Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study

    المؤلفون: Hill, Elaine L.Aff1, IDs1288902316916w_cor1, Mehta, Hemalkumar B.Aff2, IDs1288902316916w_cor2, Sharma, Suchetha, Mane, Klint, Singh, Sharad Kumar, Xie, Catherine, Cathey, Emily, Loomba, Johanna, Russell, Seth, Spratt, Heidi, DeWitt, Peter E., Ammar, Nariman, Madlock-Brown, Charisse, Brown, Donald, McMurry, Julie A., Chute, Christopher G., Haendel, Melissa A., Moffitt, Richard, Pfaff, Emily R., Bennett, Tellen D.

    المصدر: BMC Public Health. 23(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  9. 9
    تقرير
    Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence

    المؤلفون: Melton, Chad A, Olusanya, Olufunto A, Ammar, Nariman, Shaban-Nejad, Arash

    المصدر: Journal of Infection and Public Health, Available online 14 August 2021

    مصطلحات موضوعية: Computer Science - Information Retrieval, Computer Science - Social and Information Networks, 68T50, I.2.7, J.3

    URL الوصول: http://arxiv.org/abs/2108.13293

    أضف إلى المفضلة
  10. 10
    تقرير
    An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study

    المؤلفون: Brakefield, Whitney S., Ammar, Nariman, Olusanya, Olufunto A., Shaban-Nejad, Arash

    المصدر: JMIR Public Health Surveill 2021;7(6):e28269

    مصطلحات موضوعية: Computer Science - Computers and Society, I.2.1

    URL الوصول: http://arxiv.org/abs/2106.11067

    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء