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Optimal diagnosis cut-off value determination method based on arbitrarily weighted sensitivity and specificity

A technology for determining the method and sensitivity, applied in the computer field, can solve the problem that the optimal diagnostic threshold cannot meet the practical needs of the evaluation of the diagnostic method, and achieves the effect of strong practicability, easy to use, and concise model program.

Inactive Publication Date: 2017-05-31
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

[0006] When the importance of sensitivity and specificity is different (this is a very real problem faced by the determination of the optimal diagnostic cut-off value of diagnostic tests), the existing methods for determining the best diagnostic cut-off value cannot meet the requirements of diagnostic method evaluation in clinical medicine. practical needs

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  • Optimal diagnosis cut-off value determination method based on arbitrarily weighted sensitivity and specificity
  • Optimal diagnosis cut-off value determination method based on arbitrarily weighted sensitivity and specificity
  • Optimal diagnosis cut-off value determination method based on arbitrarily weighted sensitivity and specificity

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[0023] When the importance of sensitivity and specificity is different, the existing methods for determining the optimal diagnostic cut-off value cannot meet the practical needs of evaluating diagnostic methods in clinical medicine. This study established three methods for determining the optimal diagnostic cut-off value under the ROC curve that can be arbitrarily weighted based on sensitivity and specificity. Starting from practical applications, it has strong practicability, and this is a groundbreaking research.

[0024] Perkins and Schisterman (2006) compared two different principles for determining the optimal diagnostic cut-off value in the ROC curve: the principle of the largest "Youden index" and the principle of "minimum (0,1) distance", where (0,1) means figure 1 The (0, 1) point of the upper left corner in the coordinate system. Liu (2012) proposed the principle of "maximum product of sensitivity and specificity" and compared it with the principle of maximum "Youden...

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Abstract

The invention discloses an optimal diagnosis cut-off value determination method in the ROC curve under the three principles of 'weighted Youden index' maximum principle, 'weighted (0, 1) minimum distance' principle and 'maximum weighted product index' principle in the new comprehensive evaluation index based on arbitrarily weighted sensitivities and specificities. When the significances of the sensitivities and specificities are different, the true values of the diagnoses can be reflected by the sensitivities and specificities. The practicality is good, and the programmed model procedures are simple, which is convenient for a clinical doctor to use, and the set up of the model will provide a new and more powerful statistical analysis tool for diagnosis testing evaluations.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to three methods for determining the optimal diagnostic boundary value based on arbitrary weighting of sensitivity and specificity. Background technique [0002] Diagnostic testing is of great importance to healthcare, as is its impact on healthcare costs. An important problem that needs to be solved in the clinical diagnosis and treatment of patients is whether the patient is sick and what kind of disease he is suffering from. In confirming and excluding the diagnosis, it is necessary to choose a reasonable diagnostic test; in addition, in screening asymptomatic patients, follow-up , Judging the severity of the disease, estimating the prognosis, and responding to treatment all need to choose a diagnostic test based on its precision, accuracy, patient acceptability, safety, and cost, which are the most important in clinical practice. easily encountered problems. [0003] Since Y...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16H50/20
Inventor 李丹玲彭俊祥段重阳邓居敏张喜安
Owner SOUTHERN MEDICAL UNIVERSITY