Showing 1,481 - 1,500 results of 1,936 for search 'algorithm of diagnostic research', query time: 0.14s Refine Results
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    Forensic Handwriting Analysis by Digital Photographic Copies of Documents (Part 2) by M. V. Zhizhina

    Published 2022-10-01
    “…This publication is a continuation of the article from 2020 [1].The author discusses some technological aspects of digital photographing and scanning, as well as technical characteristics of a digital photograph (scan), offers general conceptual clarifications related to the study of handwriting implementations in digital copies of documents; defines the qualitative characteristics of handwriting objects that determine the admissibility of handwriting research and presenting efficient conclusions; lists the factors reducing the quality indicators of digital images, and signs pointing to them; proposes the rules and conditions for digital copying of documents for the most optimal quality of handwriting objects in order to conduct identification and diagnostic studies; considers the algorithms of actions for a handwriting expert when working with images of digital handwriting objects submitted for research in the form of a computer file.…”
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    Horizontal federated learning and assessment of Cox models by Frank Westers, Sam Leder, Lucia Tealdi

    Published 2025-06-01
    “…The Cox Proportional Hazards model is a widely used method for survival analysis in medical research. However, training an accurate model requires access to a sufficiently large dataset, which is often challenging due to data fragmentation. …”
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    BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches by Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Zheshan Guo, Haipeng Liu, Prince Jain

    Published 2025-01-01
    “…Then, majority voting was used to build an ensemble of the top three algorithms. The ensemble ML-based model BIMSSA was evaluated using microarray data from four different cancer types: Adult acute lymphoblastic leukemia and Acute myelogenous leukemia (ALL-AML), Lymphoma, Mixed-lineage leukemia (MLL), and Small round blue cell tumors (SRBCT).ResultsIn terms of accuracy, the proposed BIMSSA (Boruta + IMRMR + SSA) achieved 96.7% for ALL-AML, 96.2% for Lymphoma, 95.1% for MLL, and 97.1% for the SRBCT cancer datasets, according to the empirical evaluations.ConclusionThe results show that the proposed approach can accurately predict different forms of cancer, which is useful for both physicians and researchers.…”
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    Otitis externa in dogs (prevalence, etiology, clinical course, and treatment regimens) by D. L. Datsiuk, V. M. Hunchak, B. V. Gutyj, I. I. Khariv, R. O. Vasiv, V. P. Martynyshyn

    Published 2024-05-01
    “…To ensure the accuracy and speed of diagnosis of otitis externa, it is promising to develop a diagnostic algorithm that will help the general practitioner clearly understand the etiological factors and eliminate them or take them under control. …”
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    Changes the Ocular Surface after Corneal Refractive Surgery. Review by S. V. Trufanov, E. V. Sukhanova, A. A. Tyurina

    Published 2020-09-01
    “…Research continuation is needed in this direction.…”
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    Qualitative Study of Physician Perspectives on Classifying Screening and Nonscreening Colonoscopy using Administrative Health Data: Adding Practice Does Not Make Perfect by Maida J Sewitch, Robert Hilsden, Lawrence Joseph, Linda Rabeneck, Lawrence Paszat, Alain Bitton, Mary Anne Cooper

    Published 2012-01-01
    “…BACKGROUND: Previously developed screening colonoscopy algorithms based on diagnostic and endoscopy procedural variables have not been sufficiently accurate for use in epidemiological and health services research.…”
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    AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science by Sunil Namdev Thitame, Ashwini Ashok Aher

    Published 2025-05-01
    “…This review evaluates the fundamental AI enabled bioinformatics approaches with their deployment for genomic and protein structure prediction and drug discovery algorithms and diagnostic solutions. Different AI models demonstrate exceptional ability to identify genetic disease-related mutations and to forecast protein structure in addition to accelerating pharmaceutical research while enhancing diagnosis reliability. …”
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    Noninvasive diagnosis of interstitial fibrosis in chronic kidney disease: a systematic review and meta-analysis by Shanshan Wan, Shiping Wang, Xinyu He, Chao Song, Jiaping Wang

    Published 2024-12-01
    “…Rationale and objectives Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging (MRI), and radiomics. …”
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