Abstract
Medical diagnosis has been recognized as one of the key processes in clinical medicine, which determines diseases from some given symptoms. Nonetheless, previous works about medical diagnosis have some drawbacks because medical data are usually fuzzy, uncertain, incomplete and imprecise. To achieve the optimal medical diagnosis decision by reducing cost and enhancing accuracy, this paper develops a new method named interval three-way concept lattice model. Firstly, we redefine the decision rules and metric function of three-way decision based on interval concept lattice. Secondly, we build a visualized hierarchical structure of relationship between concepts through interval concept construction algorithm which helps us to make decision preferably and clearly. Finally, we establish a dynamic strategy optimization model for medical diagnosis decision making. In addition, a medical case demonstrates the effectiveness and feasibility of this proposed model.
Highlights
The government’s new medical reform program has boosted the construction of digital hospital and regional medical network construction
With the standardization and widely used of Electronic Health Records (EHR) and Hospital Information System (HIS), the Health care industry has accumulated a lot of medical data, including the patient’s medical records, patient diagnosis records, medical image data and so on [1]
To represent precisely the vagueness and uncertainty of information, formal concept analysis (FCA) has been extended to fuzzy concept lattice analysis based on formal context which combined FCA with fuzzy set theory [32]
Summary
The government’s new medical reform program has boosted the construction of digital hospital and regional medical network construction. Bayes theory is too simple which assumes that symptoms and diseases are independent of each other From this point of view, scholars explored other, better methods of a medical decision-making model. The three-way decision model has firstly introduced a generic framework and applied to the medical diagnosis domain by Yao [23]. To represent precisely the vagueness and uncertainty of information, FCA has been extended to fuzzy concept lattice analysis based on formal context which combined FCA with fuzzy set theory [32]. A novel method which combined three-way decision and interval-valued fuzzy concept lattice is a great option to eliminate the defects of the previous researches [38]. The rest of this article is constituted as follows: Section 2 introduces medical diagnosis problem related works including interval-valued intuitionistic fuzzy sets, three-way decision and formal concept analysis.
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