About the Evaluation of the Effectiveness of Various Methods of Diagnosis, Prediction and Classification Presented in the Literature
International Journal of Data Science and Analysis
Volume 5, Issue 1, February 2019, Pages: 6-12
Received: Jan. 19, 2019; Accepted: Mar. 19, 2019; Published: May 10, 2019
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Yury Mikhailovich Petrenko, Medical and Biological Faculty, Pirogov Russian National Research Medical University, Moscow, Russian Federation
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The literature presents a large number of very different ways to diagnose, predict and classify. In support of their usefulness and effectiveness, various parameters are often used, from a large number of them, which are not always necessary and sufficient, since they do not unequivocally characterize efficiency. The purpose of this work was to build a theory in which the characteristic parameters would be clearly defined, necessary and sufficient to identify and evaluate the effectiveness of the method itself and the databases to which this method was applied. On the basis of an objective analysis of all known parameters characterizing the effectiveness of various methods of diagnosing and predicting, necessary and sufficient conditions were determined for them that ensure the unambiguity of the conducted assessments of their effectiveness. Some examples have shown their effectiveness. Full unambiguity and certainty in the reflection of the effectiveness of any method of diagnosis and prediction is achieved only when all the parameters characterizing it are interconnected by one equation. The paper presents a set of such equations, from which it follows that the uniqueness of the evaluation of the effectiveness of any method is achieved only when it is reflected by a triad of characteristic basis parameters. Only such a triad of efficiency parameters, interconnected by characteristic equations obtained in theory, that is, in a deterministic way, can one achieve an unambiguous estimate of efficiency and its interpretation. It is important that the parameters characterizing the data arrays for which one or another method is tested can also act as basic parameters. On the basis of the equations obtained in the work, by means of the triad of basic parameters, all other parameters are determined, diversifying the efficiency. One of these triads includes sensitivity, specificity and accuracy, which in this combination uniquely determine efficiency. In this paper, from these positions, data of some works of recent years are analyzed.
Characteristic Parameters, Sensitivity, Specificity, Accuracy, Basic Equations
To cite this article
Yury Mikhailovich Petrenko, About the Evaluation of the Effectiveness of Various Methods of Diagnosis, Prediction and Classification Presented in the Literature, International Journal of Data Science and Analysis. Vol. 5, No. 1, 2019, pp. 6-12. doi: 10.11648/j.ijdsa.20190501.12
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Dzizinsky A. A., Kupriyanova A. V., Mikhalevich I. M., Batiyanov I. S. // // Patent RU 2276573C2 of July 5, 2004.
Malishevsky M. V., Golodnev Y. V., Fedorova E. E., Belova N. V. // Method for predicting lethal outcome in nephrological patients // Patent RU 2254803C1 of December 31, 2003.
Gridasova R. A., Mikashinovich Z. A., Olempiyeva E. V., Terentyev V. P. // A method for predicting recurrent myocardial infarction // Patent RU 2424531C1 of May 14, 2010.
Barkova E. N., Kuznetsov V. V., Sivkov O. G. // A method for predicting an unfavorable course of sepsis // Patent RU 2315311 C1 of July 31, 2006.
Shirokova N. M., Skurydin S. V., Simonova A. A., Karabinenko A. A., Storozhakov G. I. // A method for predicting lethal outcome in patients with community-acquired pneumonia // Patent RU 2472155 C1 of May 16, 2011.
Mayorova M. V., Konkina E. A., Demidov V. I., Mishina I. E., Mazanko O. E., Berezin M. V., // A method for predicting the outcome of myocardial infarction in diabetic patients // Patent RU 2420228 C2 of April 2, 2009.
Dabizheva A. N., Kade A. Kh., Kolesnikova N. V., Chudilova G. A. // A method for predicting the lethal outcome of a large-focal myocardial infarction // Patent RU 2246114 C2 of February 18, 2003.
Gravning J., Kjekshus J. // The perfect biomarker in acute coronary syndrome: a challenge for diagnosis, prognosis, and treatment //European Heart journal, 2008, 29, 827-2828.
Cabar F. R., Teshima D. R., Pereira P. P., Antonangelo L., Schultz R., Francisco R. P.//Serum concentration of vascular endothelial growth factor and depth of trophoblastic invasion in ampullary ectopc pregnancy//Clinics (Sao Paulo), 2016, 71 (12), 699-702.
Luvizutto G. J., Fogaroli M. Q., Theotonio R. M., Nunes H. R., Resende L. A., Bazan R.//Standartization of the face –hand test in a Brazilian multicultural population: prevalence of sensory extinction and implications for neurological diagnosis//Clinics (Sao Paulo), 2016, 71 (12), 720 -724.
Tkachenko A. N., Bakhtin M. Y., Zharkov A. V., Antonov D. V., Khachatryan E. S., Sidorenko V. A. // Prediction of lethal outcomes during amputations of the lower extremity in elderly and senile patients // Fundamental Research, 2011, No. 9.304-308.
Nishida Y., Hosomi S., Yamagami H., at al //Neutrophil-to-Lymphocyte Ratio for Predicting Loss of Response to infliximab in Ulcerative Colitis// PLoS One, 2017, 12 (1).
Le Marechal C., Rouxel S., Ballan V. and at all //Development and Validation of a New Reliable Method for the Diagnosis of Avian Botulism //PLoS One, 2017, 12 (1).
Silva K. R., Mendonca V. R., Silva K. M., and at all// Scoring clinical signs can help diagnose canine visceral leishmaniasis in a highly endemic area in Brazil//Mem Inst Oswaldo Cruz, 2017, 112 (1), 53-63.
Gudmundsson JK, Alan A, Abtahi J\\ The accuracy of fine – needle aspiration cytology for diagnosis of parotid gland masses: a clinicopathological study of 114 patients\\ J. Appl Oral Sci, 2016, 24, (6), 561-567.
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