Showing 141 - 160 results of 283 for search 'treating algorithms', query time: 0.08s Refine Results
  1. 141

    POLYPHARMACY IN MANAGMENT OF IN-PATIENTS WITH NOVEL CORONAVIRUS DISEASE (COVID-19) by V. I. Petrov, A. Yu. Ryazanova, N. S. Privaltseva, D. A. Nekrasov

    Published 2022-07-01
    “…Lack of drugs with proven effectiveness for treatment of COVID-19, worked-out treatment algorithms, a high mortality of patients in the hospitals led to polypragmasy, excessive prescribing of drugs in the hospitals. …”
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    Article
  2. 142

    A redundant weight removal method inspired by specific immunotherapy for boosting transfer learning security by Qing Huang, Hongli Deng, Junxiang Wang, Tao Yang, Bochuan Zheng

    Published 2025-06-01
    “…Currently, redundant weights are removed mainly through pruning algorithms designed by correlating student data with teacher model nodes. …”
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  3. 143

    AN INTERDISCIPLINARY APPROACH TO TREATMENT OF TEMPOROMANDIBULAR PAIN-DYSFUNCTION SYNDROME AGAINST THE BACKDROP OF CERVICAL OSTEOCHONDROSIS. by V.L. Melnik, V.K. Shevchenko

    Published 2018-03-01
    “…As a result of applying our proposed algorithm of treatment in this group of patients over a period of 2 to 4.5 months of positive results to help you believe this algorithm is effective when used in integrated the multidisciplinary approach to treating patients with temporo-mandibular pain-dysfunction against the backdrop of cervical osteochondrosis. …”
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  4. 144

    Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

    Published 2025-08-01
    “…Background Antibiotics play a critical role in treating microbial infections. However, their widespread use has contributed to the growing problem of microbial resistance. …”
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    Article
  5. 145

    Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions: A review by Magdalena IGRAS-CYBULSKA, Daria HEMMERLING, Mariusz ZIÓŁKO, Wojciech DATKA, Ewa STOGOWSKA, Michał KUCHARSKI, Rafał RZEPKA, Bartosz ZIÓŁKO

    Published 2023-08-01
    “…For that reason it should be treated as a medical screening test and should be an indication of the need for classic medical tests.…”
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  6. 146

    True Leaf Area Index Retrieval Using Terrestrial LiDAR for Broadleaf Trees via Novel Multiinclined-Planes Method by Yuyang Guo, Shihua Li, Hao Tang, Ze He

    Published 2025-01-01
    “…However, results of current TLS-based LAIt retrieval algorithms are highly sensitive to physical parameters such as voxel configuration and gap size. …”
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  7. 147

    Study on the relationship between vaginal dose and radiation-induced vaginal injury following cervical cancer radiotherapy, and model development by Fei Kong, Ziqin Yan, Liying Gao, Jianping Long, Xu Wang, Zhangcai Zheng

    Published 2025-05-01
    “…Univariate and multivariate analyses were conducted to identify key factors influencing radiation-induced vaginal injury, and five distinct algorithms were applied to develop predictive models. …”
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    Article
  8. 148

    Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets by Lechen Yang, Weifeng Shang, Dongjie Chen, Hang Qian, Sheng Zhang, Xiaojun Pan, Sisi Huang, Jiao Liu, Dechang Chen

    Published 2025-07-01
    “…Collectively, these findings suggest that propionic acid metabolism may be a potential target for diagnosing and treating sepsis, offering new insights into its pathophysiology.…”
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  9. 149

    The impact of a dedicated checklist on the quality of onsite management of critically buried avalanche victims in cardiac arrest in a Swiss helicopter emergency medical service by Maxime Trolliet, Mathieu Pasquier, Marc Blancher, Roland Albrecht, Alban Lovis, Hermann Brugger, Alexandre Kottmann

    Published 2024-12-01
    “…Results In the 10-year study period, 87 critically buried avalanche victims in CA were treated by the HEMS, 44 of them after the introduction of the AVRC. …”
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    Article
  10. 150

    Higher-order aberrations and spherical aberration in various age groups after LASIK and cataract surgery by Robert Edward T. Ang, Patricia L. Lee, Ryan S. Torres, Michelle Marie Q. Araneta, Emerson M. Cruz, Maria Socorro M. Torno

    Published 2025-05-01
    “…Methods Two hundred forty untreated eyes across various age groups and 182 eyes post-corneal or lenticular treatment were included and iTrace (Tracey Technologies, Houston, Texas) aberrometry measurements were gathered. Treated patients were classified into 2 groups according to treatment administered: eyes that underwent different algorithms of laser in situ keratomileusis (Lasik) demonstrating quantifiable differences in corneal aberrations, and eyes that underwent uncomplicated phacoemulsification with in-the-bag implantation of aspheric neutral EnVista MX60 (Bausch & Lomb, USA), negative aspheric Tecnis ZCB00 (Johnson and Johnson, USA), or spherical Akreos Adapt (Bausch & Lomb, USA) intraocular lens (IOL) showing differences in internal spherical aberrations. …”
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  11. 151

    Sex differences in alcohol use patterns and related harms: A mixed-methods, cross-sectional study of men and women in northern Tanzania. by Madeline McNee, Niveditha Badrinarayanan, Eleanor Strand, Thiago Augusto Hernandes Rocha, Timothy Antipas Peter, Yvonne Sawe, Anna Tupetz, Diego Galdino França, Judith Boshe, Joao Ricardo Nickenig Vissoci, Monica H Swahn, Blandina Mmbaga, Catherine Staton

    Published 2024-01-01
    “…In northern Tanzania, alcohol use disorders (AUD) are under-diagnosed and under-treated, and current services are mostly limited to men in clinical settings despite significant alcohol-related harm in the community. …”
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  12. 152

    Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

    Published 2018-09-01
    “…In the proposed project, we will focusour a en on on the diagnosis of human skin diseases.At the moment, melanoma is one of the most dangerous types of malignant tumors of the skin with a lot of deaths due to rapid metastasis, which is difficult to treat. The development of computer vision technology has allowed the development of technical vision systems that allow detec on and classifi ca on of skin diseases with a quality that is comparable and in some cases exceeds the values a ained by man.In this paper, the authors propose an algorithm for the primary diagnosis of skin melanoma based on deep neural networks, achieving an accuracy of 91% for melanoma in dermatoscopic images. …”
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  13. 153
  14. 154

    A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

    Published 2025-06-01
    “…The dataset was split into a 70%:15%:15% ratio for training, testing, and validation, respectively, and five machine learning algorithms were evaluated: AdaBoost, Support Vector Machine, Random Forest, Decision Tree, and Stochastic Gradient Descent. …”
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  15. 155

    Exploring the phytochemical profile, antioxidant and anti-inflammatory potential of Bidens pilosa: A Systematic Review by Ekom Monday Etukudo, Ibe Michael Usman, Augustine Oviosun, Vivian Onyinye Ojiakor, Isxaq Abdi Jama, Wusa Makena, Danladi Makeri, Elna Owembabazi, Patrick Maduabuchi Aja, Josiah Ifie, Ilemobayo Victor Fasogbon, Victor Bassey Archibong, Emeka Anyanwu

    Published 2025-08-01
    “…Medicinal plants have garnered significant attention for their potential in treating various human diseases. Many of these plants exhibit antioxidant and anti-inflammatory properties, which are crucial for mitigating the impact of oxidative stress and inflammation implicated in numerous clinical conditions. …”
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    Article
  16. 156

    A One- or Two-Stage Revision of Fungal Prosthetic Joint Infection: A Review of Current Knowledge, Pitfalls and Recommendations by Hazem Alkhawashki, Joseph Benevenia, Lorenzo Drago, Yazan Kadkoy

    Published 2025-06-01
    “…Fungal prosthetic joint infection (fPJI) is one of the orthopaedic pathologies where there is no clear evidence, guidelines or algorithm to guide the surgeon in its management. This is in addition to the difficulty with which these infections are diagnosed, isolated and treated. …”
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  17. 157

    COVID-19: WAYS TO IMPROVE TREATMENT OUTCOMES. TRANSFORMING PERCEPTIONS ABOUT INTENSIVE CARE OF CORONAVIRUS INFECTION by Dmytro D. Diachuk, Oleg L. Ziukov, Volodymyr I. Cherniy, Oleksandr V. Naumenko, Anatolii I. Denysenko

    Published 2025-05-01
    “…In the SIS «CHIT» SAD for the period from 09/10/2020 to 05/10/2021, 332 patients were treated. There were 22 deaths among the patients. …”
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  18. 158

    Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

    Published 2025-01-01
    “…This study aimed to investigate the predictability of changes in biogas production using the SVR algorithm with an RBF kernel in a full-scale anaerobic digester treating wastewater from a fruit processing plant. …”
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    Article
  19. 159

    Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety by Olly Kravchenko, Julia Bäckman, David Mataix-Cols, James J. Crowley, Matthew Halvorsen, Patrick F. Sullivan, John Wallert, Christian Rück

    Published 2025-05-01
    “…Employing machine learning algorithms capable of capturing complex non-linear associations and interactions is a viable next step to improve prediction of post-ICBT symptom severity. …”
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  20. 160

    What has changed in the attitude of health workers towards vaccination after the pandemic COVID-19 by S. M. Kharit, L. V. Romanov, Yu. E. Konstantinova, S. A. Bogdan

    Published 2024-12-01
    “…Out of 1045 respondents, 832 treat vaccinations positively (79,6%), 142 (13,6%) – neutrally, cautiously – 60 (5.7%) and negatively – 12 (1.1%), 25.1% of respondents (264 out of 1051) believe that it is better to get over some infections than to be vaccinated. …”
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