Search alternatives:
feature » features (Expand Search)
Showing 701 - 720 results of 32,966 for search 'feature development', query time: 0.25s Refine Results
  1. 701

    Features of diagnosis and treatment of gastrointestinal stromal tumors by N. I. Bogomolov, T. V. Burdinskaya, M. A. Goncharova, A. G. Goncharov, N. N. Tomskikh

    Published 2018-08-01
    “…Conclusions. GIST can develop in any segment of gastrointestinal tract and features extraorgan growth in most of the patients, intraluminal growth of pedunculated tumor is rarely diagnosed. …”
    Get full text
    Article
  2. 702

    Dolphin Health Classifications from Whistle Features by Brittany Jones, Jessica Sportelli, Jeremy Karnowski, Abby McClain, David Cardoso, Maximilian Du

    Published 2024-11-01
    “…The classifier identified the health status of the dolphin from the whistles features with 72.3% accuracy, 73.2% recall, 56.1% precision, and a 63.5% F1 score. …”
    Get full text
    Article
  3. 703

    Features of formation and realization of the economic interests in agriculture by S. P. Vorobyov, G. M. Gritsenko, V. V. Vorobyova

    Published 2017-12-01
    “…The system of classification of features of economic interests is supplemented by the signs allowing taking into account the sphere of employment and sources of the main income of stakeholders, their place of residence, expectations from participation in agricultural production. …”
    Get full text
    Article
  4. 704

    Acral Nevi: Dermatoscopic Features and Key Points by Shulaia Teona, Kiladze Natalia, Bulinska Agata, Abrahamovych Ljubomyr

    Published 2017-09-01
    “…To investigate the dermoscopic features of 306 acral melanocytic nevi, to determine the most common patterns and to trace their connection with development of acral lentiginous melanoma. …”
    Get full text
    Article
  5. 705

    Features of the microelement status in children with acute urticaria by G. E. Yalovega, A. A. Lebedenko, S. V. Mal’tsev, T. S. Kalmykova, L. A. Averkina, A. N. Posevina, A. O. Funik, O. E. Semernik, V. M. Novikovsky, E. V. Morgul’

    Published 2016-06-01
    “…Background: The increase in the occurrence of allergic dermatoses, especially in young children, is one of the urgent problems of pediatrics. The development of allergic reactions may be caused by changes in microelements balance of the body. …”
    Get full text
    Article
  6. 706

    Features of Tuberous Sclerosis Onset: Clinical Case by Еlena S. Zastelo, Elvira N. Fedulova, Nikita M. Bydanov, Tatyana V. Skochilova, Anatoly I. Khavkin

    Published 2025-05-01
    “…Its rare incidence, low awareness of pediatricians, diversity in clinical signs, inheritance features — all together it complicates its diagnosis and requires multidisciplinary approach. …”
    Get full text
    Article
  7. 707
  8. 708
  9. 709
  10. 710

    Clinical features of acute drug-induced hepatites by A. I. Khazanov, S. V. Plyusnin, A. P. Vasiliev, O. N. Rumyantsev, A. S. Ivlev, A. I. Pavlov, O. V. Parinov

    Published 2009-08-01
    “…Aim of investigation. To reveal clinical features of acute drug-induced hepatites (ADH) at inpatients. …”
    Get full text
    Article
  11. 711
  12. 712

    Immune-neuroendocrine reactivity and features of tuberculosis in pregnancy by Anna Starshinova, Anna Starshinova, Leonid P. Churilov, Igor Kudryavtsev, Igor Kudryavtsev, Artem Rubinstein, Artem Rubinstein, Ekaterina Belyaeva, Anastasia Kulpina, Anastasia Kulpina, Hong Ling, Min Zhuang, Dmitry Kudlay, Dmitry Kudlay, Dmitry Kudlay

    Published 2025-02-01
    “…In this review, we analyzed features of immunologic and immuno-neuroendocrine reactivity in pregnant women that influence for prevalence TB and TB/HIV coinfection. …”
    Get full text
    Article
  13. 713

    Development of a Preliminary Screening Tool for Predicting Polycystic Ovarian Syndrome using Machine Learning and Deep Learning Models with Non Invasive Qualitative Features: A Case-control Study by Hanumanth Narni, Vasudeva Rao Ananthasetty, SD Jilani

    Published 2024-12-01
    “…Machine Learning (ML) and Deep Learning (DL) models offer promising avenues for predicting probable cases of PCOS using non invasive qualitative features. Aim: To develop and compare the performance of Random Forest (RF) and Feedforward Neural Network (FFNN) models in predicting PCOS using abundant non invasive qualitative features. …”
    Get full text
    Article
  14. 714
  15. 715
  16. 716
  17. 717
  18. 718

    CLINICAL FEATURES OF PREGNANT WOMEN WITH EARLY GESTOSIS by Halina Hvozdetska, Natalia Henyk

    Published 2022-06-01
    “…Aim: to determine the clinical features of women with early gestosis. Materials and Methods. …”
    Get full text
    Article
  19. 719

    Clinical and immunological features of the pediatric multiple sclerosis by V. M. Lebedev, I. V. Kudryavtsev, M. A. Irikova, M. K. Serebriakova, N. A. Totolyan

    Published 2025-06-01
    “…The course of multiple sclerosis (MS) in children and adults has numerous differences, which may require the development of differentiated treatment approaches depending on the patient’s age. …”
    Get full text
    Article
  20. 720

    Pathomorphological features of inflammatory infiltrate in colorectal cancer by S. I. Tertyshnyi, O. H. Chucha

    Published 2025-04-01
    “…Aim: to investigate the pathomorphological features and severity of inflammatory infiltration in colorectal cancers. …”
    Get full text
    Article