Search Results - Smole, Tim

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  1. 1
    Differentiating viral and bacterial infections: A machine learning model based on routine blood test values

    Differentiating viral and bacterial infections: A machine learning model based on routine blood test values by Gunčar, Gregor, Kukar, Matjaž, Smole, Tim, Moškon, Sašo, Vovko, Tomaž, Podnar, Simon, Černelč, Peter, Brvar, Miran, Notar, Mateja, Köster, Manca, Jelenc, Marjeta Tušek, Osterc, Žiga, Notar, Marko

    Published in Heliyon
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  2. 2
    Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning

    Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning by Pičulin, Matej, Smole, Tim, Žunkovič, Bojan, Kokalj, Enja, Robnik-Šikonja, Marko, Kukar, Matjaž, Fotiadis, Dimitrios I, Pezoulas, Vasileios C, Tachos, Nikolaos S, Barlocco, Fausto, Mazzarotto, Francesco, Popović, Dejana, Maier, Lars S, Velicki, Lazar, Olivotto, Iacopo, MacGowan, Guy A, Jakovljević, Djordje G, Filipović, Nenad, Bosnić, Zoran

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  3. 3
    A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy

    A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy by Smole, Tim, Žunkovič, Bojan, Pičulin, Matej, Kokalj, Enja, Robnik-Šikonja, Marko, Kukar, Matjaž, Fotiadis, Dimitrios I., Pezoulas, Vasileios C., Tachos, Nikolaos S., Barlocco, Fausto, Mazzarotto, Francesco, Popović, Dejana, Maier, Lars, Velicki, Lazar, MacGowan, Guy A., Olivotto, Iacopo, Filipović, Nenad, Jakovljević, Djordje G., Bosnić, Zoran

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  4. 4
    A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains

    A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains by Pezoulas, Vasileios C., Grigoriadis, Grigoris I., Gkois, George, Tachos, Nikolaos S., Smole, Tim, Bosnić, Zoran, Pičulin, Matej, Olivotto, Iacopo, Barlocco, Fausto, Robnik-Šikonja, Marko, Jakovljevic, Djordje G., Goules, Andreas, Tzioufas, Athanasios G., Fotiadis, Dimitrios I.

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  5. 5
    Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values

    Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values by Gunčar, Gregor, Kukar, Matjaž, Smole, Tim, Moškon, Sašo, Vovko, Tomaž, Podnar, Simon, Černelč, Peter, Brvar, Miran, Notar, Mateja, Köster, Manca, Marjeta Tušek Jelenc, Notar, Marko

    Published in arXiv.org
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