Effectiveness of PCSK9 inhibitors: A Target Trial Emulation framework based on Real-World Electronic Health Records von Barbati, Giulia, Gregorio, Caterina, Scagnetto, Arjuna, Indennidate, Carla, Cappelletto, Chiara, Di Lenarda, Andrea

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Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study von Gandin, Ilaria, Saccani, Sebastiano, Coser, Andrea, Scagnetto, Arjuna, Cappelletto, Chiara, Candido, Riccardo, Barbati, Giulia, Di Lenarda, Andrea

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Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation von Baj, Giovanni, Gandin, Ilaria, Scagnetto, Arjuna, Bortolussi, Luca, Cappelletto, Chiara, Di Lenarda, Andrea, Barbati, Giulia

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Multi-state modelling of heart failure care path: A population-based investigation from Italy von Gasperoni, Francesca, Ieva, Francesca, Barbati, Giulia, Scagnetto, Arjuna, Iorio, Annamaria, Sinagra, Gianfranco, Di Lenarda, Andrea

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Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit von Gandin, Ilaria, Scagnetto, Arjuna, Romani, Simona, Barbati, Giulia

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Flexible Approaches Based on Multistate Models and Microsimulation to Perform Real-World Cost-Effectiveness Analyses: An Application to Proprotein Convertase Subtilisin-Kexin Type... von Gregorio, Caterina, Rea, Federico, Ieva, Francesca, Scagnetto, Arjuna, Indennidate, Carla, Cappelletto, Chiara, Di Lenarda, Andrea, Barbati, Giulia

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Patient adherence to drug treatment in a community based-sample of patients with chronic heart failure von Rea, Federico, Iorio, Annamaria, Barbati, Giulia, Bessi, Riccardo, Castrichini, Matteo, Nuzzi, Vincenzo, Scagnetto, Arjuna, Senni, Michele, Corrao, Giovanni, Sinagra, Gianfranco, Di Lenarda, Andrea

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Effectiveness of PCSK9 inhibitors: A Target Trial Emulation framework based on Real-World Electronic Health Records von Giulia Barbati, Caterina Gregorio, Arjuna Scagnetto, Carla Indennidate, Chiara Cappelletto, Andrea Di Lenarda

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CHA.sub.2DS.sub.2-VASc Score Predicts Adverse Outcome in Patients with Simple Congenital Heart Disease Regardless of Cardiac Rhythm von Faganello, Giorgio, Barbati, Giulia, Russo, Giulia, Scagnetto, Arjuna, Mazzone, Carmine, Mottolese, Biancamaria D.'Agata, Zaccari, Michele

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Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study von Spreafico, Marta, Gasperoni, Francesca, Barbati, Giulia, Ieva, Francesca, Scagnetto, Arjuna, Zanier, Loris, Iorio, Annamaria, Sinagra, Gianfranco, Di Lenarda, Andrea

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HF progression among outpatients with HF in a community setting von Iorio, Annamaria, Rea, Federico, Barbati, Giulia, Scagnetto, Arjuna, Peruzzi, Elena, Garavaglia, Agnese, Corrao, Giovanni, Sinagra, Gianfranco, Di Lenarda, Andrea

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Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study von Ilaria Gandin, Sebastiano Saccani, Andrea Coser, Arjuna Scagnetto, Chiara Cappelletto, Riccardo Candido, Giulia Barbati, Andrea Di Lenarda

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Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data von Baj, Giovanni, Scagnetto, Arjuna, Bortolussi, Luca, Barbati, Giulia

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CHA2DS2-VASc Score Predicts Adverse Outcome in Patients with Simple Congenital Heart Disease Regardless of Cardiac Rhythm von Faganello, Giorgio, Barbati, Giulia, Russo, Giulia, Scagnetto, Arjuna, Mazzone, Carmine, Mottolese, Biancamaria D.’Agata, Zaccari, Michele, Sinagra, Gianfranco, Lenarda, Andrea Di, Cioffi, Giovanni

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CHA 2 DS 2 -VASc Score Predicts Adverse Outcome in Patients with Simple Congenital Heart Disease Regardless of Cardiac Rhythm von Faganello, Giorgio, Barbati, Giulia, Russo, Giulia, Scagnetto, Arjuna, Mazzone, Carmine, Mottolese, Biancamaria D 'Agata, Zaccari, Michele, Sinagra, Gianfranco, Lenarda, Andrea Di, Cioffi, Giovanni

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How much of the past matters? Using dynamic survival models for the monitoring of potassium in heart failure patients using electronic health records von Gregorio, Caterina, Barbati, Giulia, Scagnetto, Arjuna, Di Lenarda, Andrea, Ieva, Francesca

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Additional file 1 of Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation von Baj, Giovanni, Gandin, Ilaria, Scagnetto, Arjuna, Bortolussi, Luca, Cappelletto, Chiara, Di Lenarda, Andrea, Barbati, Giulia

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How much of the past matters? Using dynamic survival models for the monitoring of potassium in heart failure patients using electronic health records von Gregorio, Caterina, Barbati, Giulia, Scagnetto, Arjuna, Andrea Di Lenarda, Ieva, Francesca

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