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Improving Data Cleaning by Learning From Unstructured Textual Data
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An Interdisciplinary Ecosystem for the Prevention of Cardiotoxicity in Older Patients With Breast Cancer: Protocol for a Prospective and Multicentric Study
Published 2025-08-01“…ObjectiveUsing an innovative eHealth approach combining the CARDIOCARE (An Interdisciplinary Approach for the Management of the Elderly Multimorbid Patient with Breast Cancer Therapy Induced Cardiac Toxicity—grant agreement 945175) mobile app and technologically advanced wearable devices (ie, the Garmin Venu SQ watch and Polar H10 sensor), the CARDIOCARE prospective study pursues a twofold aim: (1) testing the effectiveness of the CARDIOCARE mobile app to monitor and assess the intrinsic capacity and QoL of older patients with breast cancer and evaluating the CARDIOCARE eHealth interventions’ effectiveness on these parameters and (2) developing a holistic, patient-centered risk prediction model specific for the detection of cardiotoxicity before it clinically emerges. …”
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Fuzzy evaluation and explainable machine learning for diagnosis of rheumatic and autoimmune diseases
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The Potential of a Laser-Aspiration Solution for Refractive Lens Exchange
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Stochastic Portfolio Planning for Virtual Power Plants Using Stratified Sampling
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