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Application of Statistical Classification Technique to the Forecasting of Outcomes of Diseases
Author(s) -
Khakhubia Ts. G.,
Gvantseladze L. G.,
Felker V. M.
Publication year - 1984
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710260416
Subject(s) - outcome (game theory) , histogram , statistical model , statistics , probabilistic logic , computer science , artificial intelligence , econometrics , pattern recognition (psychology) , mathematics , mathematical economics , image (mathematics)
A probabilistic statistical model based on statistical classification is proposed for disease outcome forecasting. In particular, cardiac infarction outcome is forecasted and a table of the forecasting results is given. A conclusion of theoretical character is made about the preferable use of a non‐uniform band width in the construction of a general histogram for unknown distribution density estimation.