Application of the JSM Method of Automated Research Support to Predict Diabetes Development in Patients with Chronic Pancreatitis

Author:

Shesternikova O. P.,Finn V. K.,Lesko K. A.,Vinokurova L. V.

Publisher

Allerton Press

Subject

General Medicine

Reference17 articles.

1. Shesternikova, O.P., Agafonov, M.A., Vinokurova, L.V., Pankratova, E.S., and Finn, V.K., Intelligent system for diabetes prediction in patients with chronic pancreatitis, Sci. Tech. Inf. Process., 2015, vol. 43, nos. 5–6, pp. 315–345. https://doi.org/10.3103/S0147688216050051

2. Agafonov, M.A., Shesternikova, O.P., Vinokurova, L.V., Pankratova, E.S., and Finn, V.K., About the principles and logical means implemented in the intelligent system for gastroenterology, Nauchn.-Tekhn. Inform., Ser. 2. Protsessy Sist., 2017, no. 3, pp. 16–39.

3. Shesternikova, O.P., On the application of intelligent system for diabetes development prediction in patients with chronic pancreatitis, Iskusstvennyi Intellekt Prinyatie Reshenii, 2016, no. 3, pp. 62–71.

4. Shesternikova, O.P. and Pankratova, E.S., Intelligent system for detecting the regularities in gastroenterological data, Pyatnadtsataya natsional’naya konferentsiya po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-2016 (15th Natl. Conf. on Artificial Intelligence with Int. Participation KII-2016), Smolensk, 2016, Smolensk: Universum, 2016, vol. 1, pp. 396–404.

5. Finn, V.K. and Shesternikova, O.P., The heuristics of detection of empirical regularities by JSM reasoning, Autom. Doc. Math. Linguist., 2018, vol. 52, no. 5, pp. 215–247. https://doi.org/10.3103/S0005105518050023

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