Showing 401 - 420 results of 1,243 for search 'treating algorithm', query time: 0.11s Refine Results
  1. 401

    FEATURES OF DIAGNOSTICS AND TREATMENT OF IMPACTED TEETH (A LITERATURE REVIEW) by P.S. Flis, L.O. Brodetska

    Published 2019-09-01
    “…Many research works on resorption of the teeth roots located next to the impacted ones have been analysed; a variety of methods for treating dental retention has been reviewed. Conclusions and their discussions. …”
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    Article
  2. 402

    Hybridize Machine Learning Methods and Optimization Techniques to Analyze and Repair Welding Defects via Digital Twin of Jidoka Simulator by Ahmed M. Abed, Tamer S. Gaafar

    Published 2025-01-01
    “…We are creating a “digital Jidoka twin system” (SQ(R/I/E)) with a controller segment programmed with machine learning (ML) algorithms that use the MFEM’s huge and uneven data to sort defects and their causes. …”
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    Article
  3. 403

    Giant Cystic Pheochromocytoma with Low Risk of Malignancy: A Case Report and Literature Review by Ravi Maharaj, Sangeeta Parbhu, Wesley Ramcharan, Shanta Baijoo, Wesley Greaves, Dave Harnanan, Wayne A. Warner

    Published 2017-01-01
    “…In many cases they are accidentally discovered. The algorithm to diagnose a pheochromocytoma consists of biochemical evaluation and imaging of a retroperitoneal mass. …”
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    Article
  4. 404

    Characterization of key genes and immune cell infiltration associated with endometriosis through integrating bioinformatics and experimental analyses by Ying Peng, Xiangdong She, Ying Peng

    Published 2025-03-01
    “…Discussion Three genes (APLNR, HLA-DPA1, and AP1S2) may serve as novel therapeutic targets for diagnosing and treating patients with EM.…”
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    Article
  5. 405

    Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility by Ismail Gümüssoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalik, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

    Published 2025-07-01
    “…The nnU-Net v2 architecture was utilized to process the training and test datasets, generating the algorithm weight factors. To assess the model’s accuracy and performance, a confusion matrix was employed. …”
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    Article
  6. 406
  7. 407

    Strategies to alleviate flickering: Bayesian and smoothing methods for deep learning classification in video by Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce Cox, Trevor Bihl

    Published 2024-12-01
    “…Design/methodology/approach – This “flickering” behavior often results from CV algorithms treating successive observations as independent, which ignores the dependence inherent in most videos. …”
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    Article
  8. 408

    Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

    Published 2025-07-01
    “…The presented research demonstrates how fine-grained visual classification methods benefit detecting and treating DR during its early stages.…”
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    Article
  9. 409

    Herbify: an ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification by Farhan Sheth, Ishika Chatter, Manvendra Jasra, Gireesh Kumar, Richa Sharma

    Published 2025-07-01
    “…While synthetic drugs are often highly effective in treating acute conditions, their use is frequently accompanied by adverse side effects. …”
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    Article
  10. 410

    EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

    Published 2018-06-01
    “…Currently, conventional algorithms for selecting methods of treating patients with scars are available. …”
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    Article
  11. 411

    Discovering biomarkers associated with infiltration of CD8+ T cells and tumor-associated fibrosis in colon adenocarcinoma using single-cell RNA sequencing and gene co-expression ne... by Jinning Zhang, Jinning Zhang, Ziquan Sun, Ziquan Sun, Guodong Li, Guodong Li, Lixian Ding, Zitong Wang, Ming Liu, Ming Liu

    Published 2025-03-01
    “…To analyze COAD expression’s quantitative immune cell composition data, we conducted a Weighted Gene Correlation Network Analysis and utilized a deconvolution algorithm. The data for these analyses were obtained from the GEO database. …”
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    Article
  12. 412

    Summary of updates to the 2021 European Society of Cardiology Guidelines for the diagnosis and treatment of acute and chronic heart failure by V. N. Larina, I. K. Skiba, A. S. Skiba

    Published 2022-03-01
    “…The most significant changes for general practitioners, internists and primary care cardiologists, from our point of view, regards etiology, terminology, as well as algorithms for diagnosing and treating CHF in accordance with phenotypes, new indications to a number of drugs, in particular sodium-glucose cotransporter type 2 inhibitors (dapagliflozin and empagliflozin) with assignment of class I recommended therapy and vericiguat. …”
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  13. 413

    An accessible, timely method for identifying medications for repurposing: hypothesis generating; testing and validation by Maximin Lange, Eoin Gogarty, Meredith Martyn, Philip Braude, Feras Fayez, Nikolaos Koutsouleris, Oliver Howes, Ricardo Twumasi, Ben Carter

    Published 2025-05-01
    “…We present and evaluate a novel, accessible NLP-based method using the Word2Vec algorithm to identify, test, and validate candidate medications for repurposing, demonstrated by seeking treatments for psychotic disorders. …”
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    Article
  14. 414

    pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning by Shahid, Maqsood Hayat, Wajdi Alghamdi, Shahid Akbar, Ali Raza, Rabiah Abdul Kadir, Mahidur R. Sarker

    Published 2025-01-01
    “…Furthermore, a k-nearest neighbor-based binary tree growth (BTG) algorithm is employed to select an optimal feature set from the multi-perspective vector. …”
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  15. 415

    Thrombotic Lesion of the Pulmonary Vessels in Patients with Pulmonary Embolism by A. A. Klimenko, N. A. Demidova, N. A. Shostak, M. O. Anischenko

    Published 2020-12-01
    “…Treating a patient with CTEPH is a difficult task fora doctor. …”
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  16. 416

    Mental health specialist video consultations for patients with depression or anxiety disorders in primary care: protocol for a randomised controlled feasibility trial by Joachim Szecsenyi, Justus Tönnies, Mechthild Hartmann, Michel Wensing, Hans-Christoph Friederich, Markus W Haun

    Published 2019-09-01
    “…Introduction Most people suffering from depression and anxiety disorders are entirely treated in primary care. Due to growing challenges in ageing societies, for example, patients’ immobility and multimorbidity, the transition to specialised care becomes increasingly difficult. …”
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  17. 417

    Identification and validation of susceptibility modules and hub genes of adrenocortical carcinoma through WGCNA and machine learning by Yaoming Yang, Xinbao Wang, Liuqing Wu, Shihua Zhao, Ran Chen, Guoyong Yu

    Published 2025-05-01
    “…Additionally, the CIBERSORT algorithm was employed to predict immune cell infiltration in ACC. …”
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  18. 418
  19. 419

    Bilateral Condylar Hyperplasia: Importance of Its Diagnosis in the Treatment and Long-Term Stability of Skeletal Class III Correction by Diego Fernando López, Martín Fernando Orozco, Sofia Ochoa Gómez, Santiago Herrera Guardiola, Luis Eduardo Almeida

    Published 2025-03-01
    “…This study aims to propose a therapeutic algorithm for diagnosing and treating bilateral condylar hyperplasia (BCH) based on demographic, clinical, craniofacial growth, and clivus ratio uptake conditions. …”
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  20. 420

    Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation by Stephanie Batista, Miguel Couceiro, Ricardo Filipe, Paulo Rachinhas, Jorge Isidoro, Inês Domingues

    Published 2025-05-01
    “…As the target of this study is not to propose a new image segmentation model, the existing medical imaging segmentation models—including U-Net, ResUNet++, Fully Convolutional Network, and a modified algorithm based on the Conditional Bernoulli Diffusion Model—are used. …”
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