Research on Auxiliary Diagnosis Technology of Chronic Disease Based on Case-Based Reasoning

2021 ◽  
Author(s):  
Lin Zhang ◽  
Ping Qi ◽  
Hao Zhang
Keyword(s):  
Chronic Disease ◽  
Case Based Reasoning ◽  
Case Based

Trend of Case Based Reasoning in Diagnosing Chronic Disease: A Review

2014 ◽  
Vol 20 (10) ◽  
pp. 1740-1744 ◽  
Author(s):  
Daniel Hartono Sutanto ◽  
Nanna Suryana Herman ◽  
Mohd. Khanapi Abd. Ghani
Keyword(s):  
Chronic Disease ◽  
Case Based Reasoning ◽  
Case Based

A Case-Based-Reasoning System for Feature Selection and Diagnosing Asthma

2017 ◽  
pp. 444-459
Author(s):  
Somayeh Akhavan Darabi ◽  
Babak Teimourpour
Keyword(s):  
Risk Factors ◽  
Feature Selection ◽  
Chronic Disease ◽  
Early Stage ◽  
Case Based Reasoning ◽  
Asthma Diagnosis ◽  
Stage Of Disease ◽  
Reasoning System ◽  
Therapeutic Measures ◽  
Case Based

Asthma is a chronic disease of the airways in the lungs. The differentiation between asthma, COPD and bronchiectasis in the early stage of disease is very important for the adoption of appropriate therapeutic measures. In this research, a case-based-reasoning (CBR) model is proposed to assist a physician to therapy. First of all, features and symptoms are determined and patients' data is gathered with a questionnaire, then CBR algorithm is run on the data which leads to the asthma diagnosis. The system was tested on 325 asthmatic and non-asthmatic adult cases and the accuracy was eighty percent. The consequences were promising. This study was performed in order to determine risk factors for asthma in a specific society and the results of research showed that the most important variables of asthma disease are symptoms hyper-responsive, frequency of cough and cough.

scholarly journals Syahputra Sistem Pakar Metode Case Based Reasoning Untuk Mengidentifikasi Penyakit Psoriasis

2020 ◽  
Author(s):  
M. Syahputra ◽  
Sarjon Defit ◽  
S Sumijan
Keyword(s):  
Chronic Disease ◽  
Expert System ◽  
Testing System ◽  
Case Based Reasoning ◽  
System Software ◽  
Internal Organs ◽  
Processing Stage ◽  
Life Threatening ◽  
Improving Accuracy ◽  
Case Based

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.

scholarly journals Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis

2020 ◽  
pp. 20-27
Author(s):  
M Syahputra ◽  
Sarjon Defit ◽  
S Sumijan
Keyword(s):  
Chronic Disease ◽  
Expert System ◽  
Testing System ◽  
Case Based Reasoning ◽  
System Software ◽  
Internal Organs ◽  
Processing Stage ◽  
Life Threatening ◽  
Improving Accuracy ◽  
Case Based

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.

scholarly journals Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis

2021 ◽  
pp. 20-27
Author(s):  
M Syahputra
Keyword(s):  
Chronic Disease ◽  
Expert System ◽  
Testing System ◽  
Case Based Reasoning ◽  
System Software ◽  
Internal Organs ◽  
Processing Stage ◽  
Life Threatening ◽  
Improving Accuracy ◽  
Case Based

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.

scholarly journals Research on Key Technologies of Personalized Intervention for Chronic Diseases Based on Case-Based Reasoning

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lin Zhang ◽  
Ping Qi
Keyword(s):  
Chronic Disease ◽  
Chronic Diseases ◽  
Case Based Reasoning ◽  
Chronic Patients ◽  
Number Of Patients ◽  
Key Technologies ◽  
The Times ◽  
Case Organization ◽  
Personalized Intervention ◽  
Case Based

In recent years, with the acceleration of industrialization, urbanization, and aging process, the number of patients with chronic diseases in the world is increasing year by year. In China, the number of chronic diseases has increased tenfold in 10 years. The percentage of the disease burden in the whole society accounts for 79.4%. Chronic diseases have become the top killer for Chinese people’s health. However, for chronic diseases, prevention is more important than treatment. It is the best way to keep healthy. Therefore, health intervention is the key to prevent chronic diseases. Especially now, with the spread of COVID-19 pandemic, reducing the times of hospital check-ups and treatments for chronic patients is practically significant for releasing the stress on medical staffs and decreasing the rate of transmission and infection of COVID-19. In this paper, case-based reasoning (CBR) technology is used to assist personalized intervention for chronic diseases, and the key technologies of personalized intervention for chronic diseases based on case-based reasoning are proposed. The case organization, case retrieval, and case retention techniques of CBR technology in chronic disease personalized intervention are designed, and the calculation of interclass dispersion is added to the distribution of feature words, which is used to describe the distribution of feature attributes in different categories of cases. It provides an effective method for the establishment of personalized intervention model for chronic disease.

Sign in / Sign up

Export Citation Format

Share Document