Expert System Diagnosis of Urinary System Diseases using Forward Chaining and Dempster Shafer

Fitriana, Jevita Dwi; Prasetiyo, Budi; Arifudin, Riza

doi:10.15294/sji.v7i1.22400

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is nothing significant in this information system, which causes me to dislike in using it. 3 This system is convenient when I use it.…”

Section: Discussionmentioning

confidence: 99%

“…In general, patient registration can be done online, however, further improvement can be applied to achieve a better patient service, especially in the outpatient examination section. Expert System is a system that tries to adopt the knowledge of an expert, which will help draw conclusions like an expert [3]. The expert system can be adapted into parts of the application, which can help medical personnel detect diseases faster.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

Elkana,

Kuswanto

2023

bit-Tech

View full text Add to dashboard Cite

Technological developments have had a significant impact on many aspects of life, one of which is patient care in hospitals. Apart from using technology in patient care, technology also provides access to effective and efficient information storage and management to record patient data for treatment purposes. In outpatient services at hospitals, there are often complaints from employees regarding the health recording system which is less than optimal. Therefore, a system that manages disease diagnoses and patient treatment recommendations is something that needs to be developed, with the hope of speeding up the performance of medical personnel, so that they can help more patients who need help. The application system design aims to help manage information related to disease diagnosis and patient drug recommendations, where this system uses Forward Chaining to assist users in identifying diseases and prescribing drugs according to the diagnosis the patient is complaining about. By using the Forward Chaining methodology, medical personnel are able to obtain patient diagnosis results more quickly. The result is an application that can help medical personnel in serving outpatients from registration, examination, to exchanging medicines. This application has been tested using black-box testing involving several respondents, where respondents can feel that this application works well and helps hospital staff in examining patients.

show abstract

“…There is nothing significant in this information system, which causes me to dislike in using it. 3 This system is convenient when I use it.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

Elkana,

Kuswanto

2023

bit-Tech

View full text Add to dashboard Cite

show abstract

“…The model performance on the training and testing sets is measured using the RMSE metric, which can be seen in Figure 2 [40]. Good model performance is indicated by the smallest RMSE value [41].…”

Section: Model Validationmentioning

confidence: 99%

Optimization of Polynomial Functions on the NuSVR Algorithm Based on Machine Learning: Case Studies on Regression Datasets

Budi

Akrom

Trisnapradika

et al. 2023

SJI

View full text Add to dashboard Cite

Purpose: Experimental studies are usually costly, time-consuming, and resource-intensive when it comes to investigating prospective corrosion inhibitor compounds. Machine learning (ML) based on the quantitative structure-property relationship model (QSPR) has become a massive method for testing the effectiveness of chemical compounds as corrosion inhibitors. The main challenge in the ML method is to design a model that produces high prediction accuracy so that the properties of a material can be predicted accurately. In this study, we examine the performance of polynomial functions in the ML-based NuSVR algorithm in evaluating the regression dataset of corrosion inhibition efficiency of pyridine-quinoline compounds.Methods: Polynomial functions for NuSVR algorithm-based ML.Result: The outcomes demonstrate that the NuSVR model's prediction ability is greatly enhanced by the application of polynomial functions. Originality: The combination of polynomial functions and deep machine learning based NuSVR algorithms to increase the accuracy of predictive models.

show abstract

Detection pests system for Local Mayas Rice Plant East Kalimantan using Dempster Shafer

Puspitasari

Hamdani

Hatta

et al. 2021

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

View full text Add to dashboard Cite

Expert System Diagnosis of Urinary System Diseases using Forward Chaining and Dempster Shafer

Cited by 3 publications

References 7 publications

Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

Optimization of Polynomial Functions on the NuSVR Algorithm Based on Machine Learning: Case Studies on Regression Datasets

Detection pests system for Local Mayas Rice Plant East Kalimantan using Dempster Shafer

Contact Info

Product

Resources

About