A privacy-preserving group decision making expert system for medical diagnosis based on dynamic knowledge base

Li, Wuyungerile; Zong, Na; Liu, Kaifeng; Li, Pengyu; Ma, Xuebin

doi:10.1007/s11276-020-02374-4

Cited by 4 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An expert system is developed to have an expert's knowledge in a particular field [9]. There are several studies related to the development of expert systems in the health sector, such as research [10][11][12][13][14] and others. This shows that expert systems have been widely used in the health sector.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Treatment of Herbal Plant Using SOPHERBAL Android Application Fordward Chaining Method

Azwar,

Qomaliyah,

Indriani

2024

matrik

View full text Add to dashboard Cite

The utilization of traditional herbal medicine among the inhabitants of Lombok is notably prevalent yet frequently hindered by a lack of comprehension regarding the efficacy of herbal remedies for specific ailments. Addressing this challenge, this study proposes the development of an Android application called ”sopherbal,” aimed at delivering personalized herbal plant recommendations via easily accessible mobile devices. Employing forward chaining methodology, the application identifies optimal herbal remedies based on ailment type, processing techniques, usage instructions, and recommended dosage and treatment duration. Notably, while effective in this context, the forward chaining approach entails certain trade-offs and hurdles. Previous research indicates that forward chaining facilitatesaccurate recommendation generation, and it may be constrained by its reliance on predefined rules and limited adaptability to complex, evolving scenarios. Despite these challenges, the ”sopherbal” application, featuring 50 Sasak medicinal plants curated for 15 common ailments, achieved an 86% validation rate, affirming its efficacy in bridging the gap between traditional herbal knowledge and modern healthcare needs.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimizing Treatment of Herbal Plant Using SOPHERBAL Android Application Fordward Chaining Method

Azwar,

Qomaliyah,

Indriani

2024

matrik

View full text Add to dashboard Cite

show abstract

RETRACTED ARTICLE: KM-LA: knowledge-based mining for linear analysis of inconsistent medical data for healthcare applications

Singh

Ghalib

2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

RETRACTED ARTICLE: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

Liao

2022

Appl Intell

View full text Add to dashboard Cite

Healthcare Industry 4.0 refers to intelligent operation processes in the medical industry. With the development of information technology, large-scale group decision making (GDM), which allows a larger number of decision makers (DMs) from different places or sectors to participate in decision making, has been rapidly developed and applied in Healthcare Industry 4.0 to help to make decisions efficiently and smartly. To make full use of GDM methods to promote the developments of the medical industry, it is necessary to review the existing relevant achievements. Therefore, this paper conducts an overview to generate a comprehensive understanding of GDM in Healthcare Industry 4.0 and to identify future development directions. Bibliometric analyses are conducted in order to learn the development trends from published papers. The implementations of GDM methods in Healthcare Industry 4.0 are reviewed in accordance with the paradigm of the general GDM process, which includes information representation, dimension reduction, consensus reaching, and result elicitation. We also provide current research challenges and future directions regarding medical GDM. It is hoped that our study will be helpful for researchers in the field of GDM in Healthcare Industry 4.0.

show abstract

A privacy-preserving group decision making expert system for medical diagnosis based on dynamic knowledge base

Cited by 4 publications

References 22 publications

Optimizing Treatment of Herbal Plant Using SOPHERBAL Android Application Fordward Chaining Method

Optimizing Treatment of Herbal Plant Using SOPHERBAL Android Application Fordward Chaining Method

RETRACTED ARTICLE: KM-LA: knowledge-based mining for linear analysis of inconsistent medical data for healthcare applications

RETRACTED ARTICLE: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

Contact Info

Product

Resources

About