A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study von Persson, Inger, Östling, Andreas, Arlbrandt, Martin, Söderberg, Joakim, Becedas, David

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The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden von Ericson, Oskar, Hjelmgren, Jonas, Sjövall, Fredrik, Söderberg, Joakim, Persson, Inger

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A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study von Persson, Inger, Grünwald, Adam, Morvan, Ludivine, Becedas, David, Arlbrandt, Martin

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Reforming foodservice in elderly care: National actions and local outcomes von Skinnars Josefsson, Malin, Nydahl, Margaretha, Persson, Inger, Mattsson Sydner, Ylva

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Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study von Persson, Inger, Macura, Andreas, Becedas, David, Sjövall, Fredrik

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Efficacy and safety of quetiapine in combination with lithium or divalproex for maintenance of patients with bipolar I disorder (international trial 126) von Vieta, Eduard, Suppes, Trisha, Eggens, Ivan, Persson, Inger, Paulsson, Björn, Brecher, Martin

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Safety and efficacy of the combination of pegylated interferon- alpha 2b and dasatinib in newly diagnosed chronic-phase chronic myeloid leukemia patients von Hjorth-Hansen, H, Stentoft, J, Richter, J, Koskenvesa, P, Hoglund, M, Dreimane, A, Porkka, K, Gedde-Dahl, T, Gjertsen, B T, Gruber, F X, Stenke, L, Eriksson, K M, Markevaern, B, Luebking, A, Vestergaard, H, Udby, L, Bjerrum, O W, Persson, I, Mustjoki, S, Olsson-Stromberg, U

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The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden von Oskar Ericson, Jonas Hjelmgren, Fredrik Sjövall, Joakim Söderberg, Inger Persson

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Erratum to “Adherence to a regulation that aims to prevent and treat malnutrition—The case of Swedish elderly care” [Health Policy 123 July (7) (2019) 688–694] von Skinnars Josefsson, Malin, Nydahl, Margaretha, Persson, Inger, Mattsson Sydner, Ylva

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Multivariate two‐sample permutation tests for trials with multiple time‐to‐event outcomes von Persson, Inger, Arnroth, Lukas, Thulin, Måns

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Adherence to a regulation that aims to prevent and treat malnutrition—The case of Swedish elderly care von Skinnars Josefsson, Malin, Nydahl, Margaretha, Persson, Inger, Mattsson Sydner, Ylva

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Self‐reported documentation of goals and outcomes of nutrition care – A cross‐sectional survey study of Scandinavian dietitians von Al‐Adili, Lina, Boström, Anne‐Marie, Orrevall, Ylva, Lang, Nanna R., Peersen, Charlotte, Persson, Inger, Thoresen, Lene, Lövestam, Elin

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Confirming the Structure of the Survey of Attitudes toward Statistics (SATS-36) by Swedish Students von Persson, Inger, Kraus, Katrin, Hansson, Lisbeth, Wallentin, Fan Yang

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Plasma proteomics of biomarkers for inflammation or cancer cannot predict relapse in chronic myeloid leukaemia patients stopping tyrosine kinase inhibitor therapy von Söderlund, Stina, Persson, Inger, Ilander, Mette, Guilhot, Joëlle, Hjorth-Hansen, Henrik, Koskenvesa, Perttu, Richter, Johan, Saussele, Susanne, Mustjoki, Satu, Olsson-Strömberg, Ulla

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Quality indicators of nutritional care practice in elderly care von Skinnars Josefsson, Malin, Nydahl, M., Persson, I., Mattsson Sydner, Y.

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Plasma Proteomics in CML patients before and after initiation of tyrosine kinase inhibitor therapy reveals induced Th1 immunity and loss of angiogenic stimuli von Söderlund, Stina, MD, Christiansson, Lisa, Persson, Inger, Hjorth-Hansen, Henrik, Richter, Johan, Simonsson, Bengt, Mustjoki, Satu, Olsson-Strömberg, Ulla, Loskog, Angelica

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Plasma Proteomics In Chronic Myeloid Leukemia Patients Before And After Initiation Of Tyrosine Kinase Inhibitor Therapy Reveals Induced Th1 Immunity And Loss Of Angiogenic Stimuli von Söderlund, Stina, Christiansson, Lisa, Persson, Inger, Hjorth-Hansen, H., Richter, J., Simonsson, Bengt, Mustjoki, S., Olsson-Strömberg, Ulla, Loskog, Angelica

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Bias Of The Cox Model Hazard Ratio von Persson, Inger, Khamis, Harry

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Validation of an Algorithm for Chronic Periodontitis Risk Assessment and Prognostication: Risk Predictors, Explanatory Values, Measures of Quality, and Clinical Use von Lindskog, Sven, Blomlöf, Johan, Persson, Inger, Niklason, Anders, Hedin, Anders, Ericsson, Leif, Ericsson, Mats, Järncrantz, Bo, Palo, Ulf, Tellefsen, Georg, Zetterström, Olle, Blomlöf, Leif

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Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study von Persson, Inger, Macura, Andreas, Becedas, David, Sjövall, Fredrik

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