Showing 341 - 360 results of 432 for search 'T42 (classification)', query time: 0.06s Refine Results
  1. 341

    Incidence and risk factors for mortality of vertebral osteomyelitis: a retrospective analysis using the Japanese diagnosis procedure combination database by Hideo Yasunaga, Hirotaka Chikuda, Kiyohide Fushimi, Hiromasa Horiguchi, Toru Akiyama, Kazuo Saita

    Published 2013-03-01
    “…A higher rate of in-hospital mortality was significantly associated with haemodialysis use (ORs, 10.56 (95% CI 8.12 to 13.74)), diabetes (2.37 (1.89 to 2.98)), liver cirrhosis (2.63 (1.49 to 4.63)), malignancy (2.68, (2.10 to 3.42)) and infective endocarditis (3.19 (1.80 to 5.65)).Conclusions Our study demonstrates an increasing incidence of VO, and defines risk factors for death with a nationwide database. …”
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    Article
  2. 342

    Survey and Identification of Fusarium Head Blight Pathogens of Wheat in the Western Cape Region of South Africa by Ali Al-Hashimi, Augustine Innalegwu Daniel, Omolola Aina, Morné Du Plessis, Marshall Keyster, Ashwil Klein

    Published 2025-01-01
    “…Disease severity was highest in the South coast regions of Swellendam (42.73%) and Caledon (38.00%), with the dough stage of wheat development showing the highest disease rate (0.3 in Swellendam and Caledon). …”
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    Assessing the Use of Crushed Rock Aggregate and Carbon Black for Laterite Soil Stabilization in Road Construction. by Turyamureeba, Emmanuel

    Published 2024
    “…Carbon black was sourced from GM Tire Recycling Plant, Njeru Eastern Uganda (00 22’42.9” N 330 08’10.4” E). Preliminary tests on the lateritic soil were carried out to determine if the soil required stabilization. …”
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    Thesis
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    Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

    Published 2025-01-01
    “…With 70% random samples used for drawing and 30% random samples used for checking, LCZ maps that meet the requirements of classification accuracy are obtained and analyzed for site identification at the local scale. …”
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    Development and internal validation of the Edmonton Obesity Staging System-2 Risk screening Tool (EOSS-2 Risk Tool) for weight-related health complications: a case-control study in... by Evan Atlantis, P Fahey, Kathryn Williams, Paul Dugdale, James Rufus John, SL Hocking, Kath Peters

    Published 2022-06-01
    “…The EOSS-2 Risk Tool (index test) classified 89% of those at ‘extremely high risk’ (≥25 points), 67% of those at ‘very high risk’ (7–24 points) and 42% of those at ‘high risk’ (<7 points) of meeting diagnostic criteria for EOSS≥2 (reference).Conclusion The EOSS-2 Risk Tool is a simple, safe and accurate screening tool for diagnostic criteria for clinically significant weight-related complications for potential application in general practice. …”
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  10. 350

    Contemporary Results of Transcatheter Aortic Valve Replacement in Obese Patients by T. Owais, M. El Garhy, P. Lauten, M. Haensig, H. Lapp, P. C. Schulze, T. Kuntze

    Published 2020-01-01
    “…According to the WHO classification, 33% patients had normal weight, 42% were defined as overweight, and 22% were obese. …”
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  11. 351

    The characteristics of dermatology inpatients seen at the quaternary Inkosi Albert Luthuli Central Hospital in Durban, South Africa, over a 5-year period – 2015 - 2020 by L Mthembu, J T Masuka, K Duze, A Mosam

    Published 2023-12-01
    “…Demographic and clinical data on the International Classification of Diseases (ICD) 10 dermatology diagnosis and admitting specialty were collected and analysed. …”
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    Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

    Published 2025-02-01
    “…With a 50.09% contribution to face hardness and a 30.11% contribution to hardness at the thickness area, raster angle is found to be significant over hardness.Layer thickness is an important element that contributes 81.95% to printing time and 42.09% to part weight, respectively. In an 80:20 train-test split, the decision tree approach outperformed the k -nearest neighbor algorithm for all four output responses, with classification accuracy ranging from 83.33% to 100%. …”
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    Urolithiasis complicated by chronic obstructive pyelonephritis in patients with concomitant diseases of the cardiovascular system by R. V. Royuk, S. K. Yarovoy, R. A. Khomov

    Published 2021-12-01
    “…The stages of CHF were determined in accordance with the Strazhesco-Vasilenko classification [N. D. Strazhesco, V. H. Vasilenko, 1935]. …”
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