The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study von Soliman, Amira, Agvall, Björn, Etminani, Kobra, Hamed, Omar, Lingman, Markus

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Dynamics of IgG-avidity and antibody levels after Covid-19 von Löfström, Emma, Eringfält, Anna, Kötz, Arne, Wickbom, Fredrik, Tham, Johan, Lingman, Markus, Nygren, Jens M., Undén, Johan

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Prehospital stratification in acute chest pain patient into high risk and low risk by emergency medical service: a prospective cohort study von Wibring, Kristoffer, Lingman, Markus, Herlitz, Johan, Amin, Sinan, Bång, Angela

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The potential of new prediction models for emergency medical dispatch prioritisation of patients with chest pain: a cohort study von Wibring, Kristoffer, Lingman, Markus, Herlitz, Johan, Bång, Angela

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Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study von Blom, Mathias Carl, Ashfaq, Awais, Sant'Anna, Anita, Anderson, Philip D, Lingman, Markus

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Clinical presentation in EMS patients with acute chest pain in relation to sex, age and medical history: prospective cohort study von Wibring, Kristoffer, Lingman, Markus, Herlitz, Johan, Pettersson, Helena, Lerjebo, Anette, Bång, Angela

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Synthetic electronic health records generated with variational graph autoencoders von Nikolentzos, Giannis, Vazirgiannis, Michalis, Xypolopoulos, Christos, Lingman, Markus, Brandt, Erik G.

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Characteristics, management and outcomes in patients with CKD in a healthcare region in Sweden: a population-based, observational study von Agvall, Björn, Ashfaq, Awais, Bjurström, Karl, Etminani, Kobra, Friberg, Lovisa, Lidén, Johanna, Lingman, Markus

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Guideline adherence among prehospital emergency nurses when caring for patients with chest pain: a prospective cohort study von Wibring, Kristoffer, Lingman, Markus, Herlitz, Johan, Blom, Lina, Gripestam, Otto Serholt, Bang, Angela

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The Impact of Hypertension and Diabetes on Outcome in Patients Undergoing Percutaneous Coronary Intervention von Lingman, Markus, MD, Albertsson, Per, MD, PhD, Herlitz, Johan, MD, PhD, Bergfeldt, Lennart, MD, PhD, Lagerqvist, Bo, MD, PhD

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Transient repolarization alterations dominate the initial phase of an acute anterior infarction — a vectorcardiography study von Lingman, Markus, MD, PhD, Hartford, Marianne, MD, PhD, Karlsson, Thomas, MSc, Herlitz, Johan, MD, PhD, Rubulis, Aigars, MD, PhD, Caidahl, Kenneth, MD, PhD, Bergfeldt, Lennart, MD, PhD

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Readmission prediction using deep learning on electronic health records von Ashfaq, Awais, Sant’Anna, Anita, Lingman, Markus, Nowaczyk, Sławomir

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DEED: DEep Evidential Doctor von Ashfaq, Awais, Lingman, Markus, Sensoy, Murat, Nowaczyk, Sławomir

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Oxygen Therapy in Suspected Acute Myocardial Infarction von Hofmann, Robin, James, Stefan K, Jernberg, Tomas, Lindahl, Bertil, Erlinge, David, Witt, Nils, Arefalk, Gabriel, Frick, Mats, Alfredsson, Joakim, Nilsson, Lennart, Ravn-Fischer, Annica, Omerovic, Elmir, Kellerth, Thomas, Sparv, David, Ekelund, Ulf, Linder, Rickard, Ekström, Mattias, Lauermann, Jörg, Haaga, Urban, Pernow, John, Östlund, Ollie, Herlitz, Johan, Svensson, Leif

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Development of a prehospital prediction model for risk stratification of patients with chest pain von Wibring, Kristoffer, Lingman, Markus, Herlitz, Johan, Ashfaq, Awaiz, Bång, Angela

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Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation von Galozy, Alexander, Nowaczyk, Slawomir, Sant’Anna, Anita, Ohlsson, Mattias, Lingman, Markus

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Spatial peak and mean QRS-T angles: A comparison of similar but different emerging risk factors for cardiac death von Bergfeldt, Lennart, Bergqvist, Gabriel, Lingman, Markus, Lundahl, Gunilla, Bergström, Göran, Gransberg, Lennart

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Symptom description in patients with chest pain—A qualitative analysis of emergency medical calls involving high‐risk conditions von Wibring, Kristoffer, Herlitz, Johan, Lingman, Markus, Bång, Angela

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Data Resource Profile: Regional healthcare information platform in Halland, Sweden von Ashfaq, Awais, Lönn, Stefan, Nilsson, Håkan, Eriksson, Jonny A, Kwatra, Japneet, Yasin, Zayed M, Slutzman, Jonathan E, Wallenfeldt, Thomas, Obermeyer, Ziad, Anderson, Philip D, Lingman, Markus

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KAFE: Knowledge and Frequency Adapted Embeddings von Ashfaq, Awais, Lingman, Markus, Nowaczyk, Slawomir

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