Showing 841 - 860 results of 1,135 for search 'T13 (classification)', query time: 0.07s Refine Results
  1. 841

    Causes of admissions and in-hospital mortality among patients admitted to critical care units in primary and secondary hospitals in Vietnam in 2018: a multicentre retrospective stu... by Vu Quoc Dat, Bui Thi Khanh Linh, Giang Bao Kim

    Published 2022-06-01
    “…The most common diagnoses were diseases of the respiratory system (27.8% or 12 255/44 013), followed by unclassified symptoms, signs or clinical findings (13% or 5712/44 013), and diseases of the circulatory system (12.2% or 5380/44 013). …”
    Get full text
    Article
  2. 842

    Examining sufficiency and equity in the geographic distribution of physicians in Japan: a longitudinal study by Yuichi Imanaka, Susumu Kunisawa, Koji Hara, Tetsuya Otsubo

    Published 2017-03-01
    “…However, after adjusting healthcare demand, physician supply decreased by 1.3% in the former group and increased by 3.5% in the latter group. …”
    Get full text
    Article
  3. 843

    Effect of Antihypertensive Therapy on SCORE-Estimated Total Cardiovascular Risk: Results from an Open-Label, Multinational Investigation—The POWER Survey by Guy De Backer, Robert J. Petrella, Assen R. Goudev, Ghazi Ahmad Radaideh, Andrzej Rynkiewicz, Atul Pathak

    Published 2013-01-01
    “…During EBT mean (±SD) systolic/diastolic blood pressures declined from 160.2 ± 13.7/94.1 ± 9.1 mmHg to 134.5 ± 11.2/81.4 ± 7.4 mmHg. …”
    Get full text
    Article
  4. 844
  5. 845
  6. 846
  7. 847
  8. 848

    The Impact of Gross Motor Function on the Oral Health-Related Quality of Life in Young Adults with Cerebral Palsy in Saudi Arabia by Sharat Chandra Pani, Saja Fahad AlEidan, Rawan Nasser AlMutairi, AlJawharah Ali AlAbsi, Dalal Nasser AlMuhaidib, Hessa Faisal AlSulaiman, Najd Waleed AlFraih

    Published 2020-01-01
    “…The sample comprised 46 individuals aged between 13 and 17 years with Gross Motor Function Classification Scores (GMFCS) ranging from level I to level III. …”
    Get full text
    Article
  9. 849

    Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments by Lee KT, Liu WT, Lin YC, Chen Z, Ho YH, Huang YW, Tsai ZL, Hsu CW, Yeh SM, Lin HY, Majumdar A, Chen YL, Kuan YC, Lee KY, Feng PH, Chen KY, Kang JH, Lee HC, Ho SC, Tsai CY

    Published 2025-01-01
    “…Additionally, Youden’s index was used to establish cutoff thresholds for the bRDITIB, followed by multiclass classification and outcome comparisons.Results: A strong correlation (ρ = 0.87) and high agreement (93.88% within the 95% confidence interval; 138/147) between the AHI and bRDITIB were identified. …”
    Get full text
    Article
  10. 850
  11. 851
  12. 852

    Molecular profiling of bladder cancer xenografts defines relevant molecular subtypes and provides a resource for biomarker discovery. by Sharada Mokkapati, Ganiraju Manyam, Alexis R. Steinmetz, Côme Tholomier, Alberto Martini, Woonyoung Choi, Bogdon Czerniak, Byron H Lee, Colin P Dinney, David J McConkey

    Published 2025-02-01
    “…We comprehensively characterized nine human BLCA cell lines (UC3, UC6, UC9, UC13, UC14, T24, SCaBER, RT4V6 and RT112) into molecular subtypes using orthotopic xenograft models. …”
    Get full text
    Article
  13. 853

    Clinical burden of obstructive hypertrophic cardiomyopathy in France by Philippe Charron, Carla Zema, François-Emery Cotté, Eléonore Herquelot, Taryn Krause, Florent Daydé, Jean-Noël Trochu

    Published 2025-01-01
    “…Over the follow-up [mean (SD) follow-up: 4.4 (2.5) years; cumulative patient follow-up: 30,021 patient-years], 73% of patients remained in the same NYHA class, 14% of patients worsened, and 13% improved. At inclusion, 22% of patients had no HCM-related treatment, 56% were receiving β-blockers, 12% calcium-channel blockers, and 11% a combination of both. …”
    Get full text
    Article
  14. 854

    Survey of medication history of patients with stroke after discharge from an acute hospital ward: a case series study by Yuko Fukuda, Risa Ito, Misaki Kakihana, Tsutomu Takahashi, Tetsuji Kanemoto, Toshiyuki Sahara, Masahiko Tsujikawa, Mitsuko Onda

    Published 2025-02-01
    “…Results Of the 42 patients enrolled, seven (16.7%) had one or more discrepancies involving 13 medications. Based on the medicinal efficacy classification, four patients treated with other blood and body fluids-related agents (antiplatelet drugs), three patients treated with agents for hyperlipidemia (statins), two patients with agents for peptic ulcers, two patients with vasodilators, one patient treated with antihypertensives, and one patient with other agents affecting digestive organs (antiemetic agents that acts on the central nervous system) had discrepancies. …”
    Get full text
    Article
  15. 855

    Penggunaan Metode Naïve Bayes Classifier pada Analisis Sentimen Penilaian Masyarakat Terhadap Pelayanan Rumah Sakit di Malang by Tsania Dzulkarnain, Dian Eka Ratnawati, Bayu Rahayudi

    Published 2024-10-01
    “…Hasil pengujian dengan menggunakan Cross Validation dengan fold k-9 memiliki nilai accuracy 82,97% , precision sebesar 83,13%, recall 82,93%, dan f-measure sebesar 82,92%. …”
    Get full text
    Article
  16. 856

    Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

    Published 2025-01-01
    “…Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). …”
    Get full text
    Article
  17. 857
  18. 858
  19. 859
  20. 860