Hybrid Intelligent Systems for a Personalized Assessment of the State of Complex Medical Objects Using Dynamic Object Modeling

[1] Andersson B.(2011)Prediction of severe acute pancreatitis at admission to hospital using artificial neural networks Pancreatology 11 328-335

[2] Andersson R.(2016)“Clinical and morphological classification of acute pancreatitis and its complications,” Izv. Vyssh. Uchebn. Zaved Povolzhskii Region. Med. Nauki 40 109-121

[3] Ohlsson M.(2007)Automated time series forecasting for biosurveillance Stat. Med. 26 4202-4218

[4] Nilsson J.(2015)Dr. Virginia Apgar and the Apgar score: How the Apgar score came to be Anesthesia Analgesia 120 1060-1064

[5] Bogdanov S. N.(2011)Dynamic modeling and analysis of cancer cellular network motifs Integr. Biol. 3 724-732

[6] Babaev S. Yu.(1974)Therapeutic intervention scoring system: A method for quantitative comparison of patient care Crit. Care Med. 2 57-60

[7] Strazhnov A. V.(2022)“Predicting severity of acute pancreatitis: Emerging role of artificial intelligence,” Clin Transl. Discovery 2 e80-899

[8] Stroganov A. B.(2018)Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis Pancreatology 18 892-84

[9] Mitrofanova N. N.(2019)“The use of multilevel neural networks for the classification of biomedical data,” Vesti Vyssh. Uchebn. Zaved Chernozem’ya, No. 3 75-31

[10] Mel’nikov V. L.(2013)Use of an artificial neural network to predict persistent organ failure in patients with acute pancreatitis Clinics 68 27-1965

[1] Andersson B.(2011)Prediction of severe acute pancreatitis at admission to hospital using artificial neural networks Pancreatology 11 328-335

[2] Andersson R.(2016)“Clinical and morphological classification of acute pancreatitis and its complications,” Izv. Vyssh. Uchebn. Zaved Povolzhskii Region. Med. Nauki 40 109-121

[3] Ohlsson M.(2007)Automated time series forecasting for biosurveillance Stat. Med. 26 4202-4218

[4] Nilsson J.(2015)Dr. Virginia Apgar and the Apgar score: How the Apgar score came to be Anesthesia Analgesia 120 1060-1064

[5] Bogdanov S. N.(2011)Dynamic modeling and analysis of cancer cellular network motifs Integr. Biol. 3 724-732

[6] Babaev S. Yu.(1974)Therapeutic intervention scoring system: A method for quantitative comparison of patient care Crit. Care Med. 2 57-60

[7] Strazhnov A. V.(2022)“Predicting severity of acute pancreatitis: Emerging role of artificial intelligence,” Clin Transl. Discovery 2 e80-899

[8] Stroganov A. B.(2018)Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis Pancreatology 18 892-84

[9] Mitrofanova N. N.(2019)“The use of multilevel neural networks for the classification of biomedical data,” Vesti Vyssh. Uchebn. Zaved Chernozem’ya, No. 3 75-31

[10] Mel’nikov V. L.(2013)Use of an artificial neural network to predict persistent organ failure in patients with acute pancreatitis Clinics 68 27-1965