Android-based expert system design for drug selection using certainty factor

Slamet, Cepy; Firmanda, B.; Ramdhani, Muhammad Ali; Darmalaksana, Wahyudin; Enjang, E.; Kaffah, F. M.

doi:10.1088/1742-6596/1280/2/022018

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…One of the most rule-based algorithms used to calculate CF values is MYCIN [23]. This rule-based algorithm tried calculating CF values representing symptoms [8], [13], [59], [60], or specific-related symptom datasets [61]- [63]. The following equations (1) explain the calculation of the CF value [64].…”

Section: Literature Reviewmentioning

confidence: 99%

Predict the thyroid abnormality particular disease likelihood of the symptoms’ certainty factor value and its confidence level: A regression model analysis

Al-Hakim,

Arief,

Pangestu

et al. 2023

SISTEMASI

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The traditional expert system (TES) in the medical field commonly uses a certainty factor (CF) rule-based algorithm that can be calculated several symptoms to determine the inference solutions. The main issue for this TES included a prediction for some particular disease likelihood in the cases of new patients. CF is calculated based on symptoms related to clinical signs in patients’ diagnoses. For some reason, this TES probably won’t predict uncertain things, such as particular disease likelihood of some diseases. So, supervised learning, such as linear regression, can solve this problem. We tried to analyse the existing TES for thyroid disorders due to modelling the regression equation to predict the thyroid abnormality particular disease likelihood, based on the symptoms’ CF value and its confidence level. We used multiple linear regression (MLR) and multiple polynomial regression (MPR) to analyse the best regression model to solve the problem. The results show that the MPR model indicates the best regression model for predicting particular disease likelihood of thyroid abnormality, supported by R-squared 94.7%, R-squared adjusted 94.4%, F-value 265.925, and p-value < 0.05, which are higher than MLR model. Our study proposed a foundation for expert system development by focusing more on machine learning expert system (MLES) analysis approaches than TES.

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Section: Literature Reviewmentioning

confidence: 99%

Predict the thyroid abnormality particular disease likelihood of the symptoms’ certainty factor value and its confidence level: A regression model analysis

Al-Hakim,

Arief,

Pangestu

et al. 2023

SISTEMASI

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“…It uses a value to assume the level of expert's certainty on a datum. The basic formulation for CF is presented in the following [20].…”

Section: The Development Of Expert System Using Certainty Factor Methodsmentioning

confidence: 99%

The Diagnosis of Online Game Addiction on Indonesian Adolescent Using Certainty Factor Method

Saddhono¹,

Setyawan²,

Raharjo³

et al. 2020

ISI

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This research discusses about online games which become ones of the most popular commodities, particularly among adolescents. It is suggested that they prefer spending time by playing online games to studying. Consequently, the phenomenon of online game addiction gets significant. The study aimed to explain and describe the use of Certainty Factor Method with expert system to diagnose online game addiction on adolescents. Its setting was Java island by involving some students as subject of the study. Survey method was employed to obtain the data while its instrument in terms of questionnaire was provided in Google forms and distributed to the students. An interactive qualitative approach was deployed to analyze the data combined with certainty factor method to show the level of game online addiction. The result shows from the sample of data which have analyzed addiction level toward online games is relatively moderate. Most of the users are adolescents between 12 and 15 years old and spend about 4 until 6 hours in a day. This condition becomes worse if there is no treatment for adolescents. Hence, there is a need of parents' control and awareness toward children's activity in playing online games since it renders negative impacts particularly on children's learning activity and motor development.

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“…One of the most popular algorithms used to calculate CF values is MYCIN [66]. This rule-based algorithm of TES tried calculating final CF values that represent symptoms (symptoms coded) [20], [21], [67], [68], or datasets of specific-related symptoms of some disease-causing [69]- [71]. The Equation ( 1) is the Equation of the CF value calculation [72].…”

Section: Literature Reviewmentioning

confidence: 99%

Using Regression Model Analysis for Forecasting the Likelihood of Particular Symptoms of COVID-19

Pangestu,

Sumirat,

Al-Hakim

et al. 2024

SISTEMASI

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A certainty factor (CF) rule-based technique is frequently used by traditional expert systems (TES) in the medical industry to compute several symptoms and identify the inference solutions. The primary concern for this TES was predicting the likelihood of a particular ailment in the circumstances of new patients. Based on symptoms connected to clinical indicators in patients' diagnosis, CF is estimated. This TES probably won't be able to forecast unknown things, like the possibility of a particular ailment. Therefore, supervised learning techniques like linear regression can address this issue. We attempted to analyze the current COVID-19 TES by modeling the regression equation to forecast the chance of a particular disease that is COVID-like based on the CF value and the confidence level of the symptoms. To examine the most effective regression model to address the issue, we employed multi-linear regression (MLR) and multi-polynomial regression (MPR). The findings demonstrate that the MLR and MPR models are the most accurate regression models for estimating the chance of a disease associated with COVID-like symptoms. Our work built a basis for the creation of expert systems by concentrating more on MLES (machine learning expert systems) analytical techniques than TES.

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Android-based expert system design for drug selection using certainty factor

Cited by 6 publications

References 13 publications

Predict the thyroid abnormality particular disease likelihood of the symptoms’ certainty factor value and its confidence level: A regression model analysis

Predict the thyroid abnormality particular disease likelihood of the symptoms’ certainty factor value and its confidence level: A regression model analysis

The Diagnosis of Online Game Addiction on Indonesian Adolescent Using Certainty Factor Method

Using Regression Model Analysis for Forecasting the Likelihood of Particular Symptoms of COVID-19

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