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web based ensemble machine learning application  (Wolters Kluwer Health)

 
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    Wolters Kluwer Health web based ensemble machine learning application
    Web Based Ensemble Machine Learning Application, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/web+based+ensemble+machine+learning+application/learning+machine/pm41697299-147-15-2
    Average 86 stars, based on 1 article reviews
    web based ensemble machine learning application - by Bioz Stars, 2026-09
    86/100 stars

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    Article Title: Predicting the vault after ICL implantation using intraoperative OCT: Establishment and application of models.
    Article Snippet: Published by Wolters Kluwer Health, Inc. on behalf of ASCRS and ESCRS Development of a Web-Based Ensemble Machine Learning Application to Select the Optimal Size of Posterior Chamber Phakic Intraocular Lens.

    Article Title: Abstracts of Scientific Papers and Posters Presented at Physiatry ‘25
    Article Snippet: s of Scientific Papers and Posters Presented at Physiatry ‘25 February 25 – March 1, 2025 SCIENTIFIC PAPER PRESENTATIONS FRIDAY, FEBRUARY 28, 2025 "Urine" Control: Interdisciplinary Collaboration for Catheter Associated Urinary Tract Infection Reduction at an Inpatient Rehabilitation Institute Haylie Kromer, DO, Taylor Keck, MPH, CIC, Edward Hetherington, MSN, RN, Antonette Murphy, BSN, RN, Mohamed Yassin, MD, PHD, MBA, CIC, Gary Galang, MD, Amanda Harrington, MD, Jessica Berry, MD, and Heather Dixon, MSN, RN, CPHQ, CIC OBJECTIVES: Acute inpatient rehabilitation (IPR) patients have underlying conditions and comorbidities that often require prolonged indwelling urinary catheters (IUC) which increase the risk of catheter associated urinary tract infections (CAUTI).. A collaborative approach to decrease the risk of CAUTI in this setting is necessary.. At a 435-bed level one trauma center, with 76 dedicated IPR beds specializing in stroke, spinal cord injury, brain injury, and general rehabilitation, a multidisciplinary team was formed to address an increase in CAUTI.

    Article Title: Abstracts
    Article Snippet: Comparative Treatment Outcomes of Pancreatic Head Cancer Versus Pancreatic Body/Tail Cancer: An Institutional Experience M. Abdelrahim, A. ESMAIL, V. Dhillon, E. Al-Najjar, B. Khasawneh, S. Crowe.. Houston Methodist Nael Cancer Center, Houston, Texas; Houston Methodist Neal Cancer Center, Houston, Texas Background: Pancreatic Ductal Adenocarcinoma (PDAC) is increasing worldwide, carrying a poor prognosis and devastating outcomes.. We aim to investigate the treatment response outcome in PDACHead (PHAC) versus PDAC Body/Tail (PBTAC).

    Article Title: Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.
    Article Snippet: Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology Machine Learning Algorithms to Predict Anti-TNFα Escalation by one year and Corticosteroid-free Clinical Remission at One Year on mesalamine therapy: We incorporated eosinophilic density or HPF to replace the binary eosinophilic count of <32/HPF into the PROTECT ([a total Mayo score ≥11, lack of week 4 remission, baseline hemoglobin <10 g/dL, lower serum 25 (OH) D, and rectal eosinophil count <32/HPF] multivariable model for escalation to anti-TNFα therapy.

    Article Title: AI-Enabled Early Detection of Chemo-Induced Cardiotoxicity Patterns Using ECG Time Series Data
    Article Snippet: Objectives: Chemotherapy-induced cardiotoxicity is still a major clinical problem, usually appearing subclinically before structural or symptomatic cardiac dysfunction appears.. Standard surveillance methods use imaging and biomarkers, which are time-intensive and money-intensive and can only identify damage at more advanced levels.. Electrocardiography (ECG) provides a low-cost, non-invasive method that can detect early electrophysiological changes but is not fully utilized in cardio-oncology.

    Biomarker Discovery:

    Article Title: Cancer-Associated Thromboembolic Disease and the Evolution of Management
    Article Snippet: .. Published by Wolters Kluwer Health, Inc. biomarker-driven approaches attempt to increase accuracy, including D-dimer and soluble P-selectin levels.15 Recently, machine learning methods have been investigated to improve predictive accuracy, but these attempts are still investigational. ..

    Article Title: Challenges of using data analytics in health services
    Article Snippet: Recent findings The integration of data analytics in health services holds promise for transforming healthcare delivery, enhancing patient outcomes, and optimizing operational efficiency.. However, this Undertaking is associated with challenges that include ethical, legal, financial, and organizational domains.. Ethical concerns arise from biases in algorithms and the imperative for transparency in decision-making processes.



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    web based ensemble machine learning application  (Wolters Kluwer Health)
    86
    Wolters Kluwer Health web based ensemble machine learning application
    Web Based Ensemble Machine Learning Application, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/web+based+ensemble+machine+learning+application/learning+machine/pm41697299-147-15-2
    Average 86 stars, based on 1 article reviews
    web based ensemble machine learning application - by Bioz Stars, 2026-09
    86/100 stars
    		  Buy from Supplier

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