Journal
EXPERT SYSTEMS
Volume 36, Issue 3, Pages -Publisher
WILEY
DOI: 10.1111/exsy.12377
Keywords
decision support model; medical diagnosis; similarity; three-way decision theory; treatment advice
Funding
- Fundamental Research Funds for the Central Universities of Central South University [2018zzts092]
- National Natural Science Foundation of China [71771219, 71871229]
Ask authors/readers for more resources
Patients always want a precise diagnosis and appropriate treatment advice when they are diagnosed with a disease. Furthermore, the original information about certain features and symptoms appears in different forms, and the effect of time is always ignored in the process of diagnosis. To overcome these defects, this paper develops a systematic multiperiod hybrid decision support model, which combines the similarity measurement and three-way decision theory to provide prediction and treatment advice for patients under the fuzzy environment. This multiperiod hybrid decision support model, which considers the effect of time, including transformation module, multiperiod integration module, similarity module, prediction module, and three-way decision module, provides disease prediction and advice on treatment based on similarities and three-way decision theory. To validate this model, we construct an illustration composed of four cases, and this ultimately shows that MPH-SDM can effectively support patients' disease diagnoses and treatment.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available