Fuzzy Cognitive Map Decision Support System for Successful Triage to Reduce Unnecessary Emergency Room Admissions for the Elderly

2013 ◽  
pp. 415-436 ◽  
Author(s):  
Voula C. Georgopoulos ◽  
Chrysostomos D. Stylios
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Emergency Room ◽  
Support System ◽  
The Elderly ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map

scholarly journals Decision support system for diagnosing Rheumatic-Musculoskeletal Disease using fuzzy cognitive map technique

2020 ◽  
Vol 18 ◽  
pp. 100279 ◽  
Author(s):  
Boluwaji A. Akinnuwesi ◽  
Blessing A. Adegbite ◽  
Femi Adelowo ◽  
U. Ima-Edomwonyi ◽  
Gbenga Fashoto ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cognitive Map ◽  
Musculoskeletal Disease ◽  
Fuzzy Cognitive Map

A context-aware decision-support system in clinical pharmacy: Drug monitoring in the elderly

2017 ◽  
Vol 52 (1) ◽  
pp. 100-110
Author(s):  
F. Lagrange ◽  
J. Lagrange ◽  
C. Bennaga ◽  
F. Taloub ◽  
M. Keddi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Clinical Pharmacy ◽  
Drug Monitoring ◽  
The Elderly ◽  
Context Aware

scholarly journals Sistem Pendukung Keputusan Seleksi Visa-Kitas Lansia Menggunakan Metode Fuzzy MADM (STUDI KASUS: PT. Mulia Prima Permai)

Telematika ◽  
2018 ◽  
Vol 15 (1) ◽  
pp. 30
Author(s):  
Putri Taqwa Prasetyaningrum ◽  
Dhana Sudana
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
The Elderly ◽  
Data Input ◽  
Fuzzy Madm ◽  
Selection Of

AbstractThe selection of elderly visa-kitas receiver to asses the cantidate who qualify at PT Mulia Prima Permai Jakarta is not an easy process. The difficulty of the procedure require in Embassy makes PT Mulia Prima Permai needs to choose the most effective way to do the selection of elderly visa applicants before sending it to the Embassy. One of the options is by using the decision making of Fuzzy Multi Attribute Dictition Making (MADM) method. The Fuzzy Multi Attribute Diction Making Method is expected can help to solve the problem of elderly visa acceptance selection effectively. In this research, it is necessary to compile some criteria and alternatives. To support the selection process of acceptance for the elderly visa kitas a Decision Support System of selection was created by using Fuzzy Multi Attribute Dicision Making (MADM) method. The Decision Support System is useful to process the required data (input) of elderly visa kitas application and outcome the request status output in the form that 100% match the results of the calculation with PT. Mulia Prima Permai.Keywords: Fuzzy Multi Attribute Dicision Making (MADM), Elderly visa-kitas selection, Decission support systemAbstrakSeleksi penerimaan visa-kitas lansia, untuk menilai calon peserta yang memenuhi syarat di PT.Mulia Prima Permai Jakarta bukanlah suatu kegiatan yang mudah. Banyaknya prosedur seleksi pada tingkat Dirjen Imigrasi, membuat PT.Mulia Prima Permai harus mengambil keputusan yang tepat untuk menyeleksi persyartan pemohon visa sebelum dikirim ke Dirjen Imigrasi, ini menjamin permohonan visa-kitas dapat dipertangung-jawabkan dan disetujui. Salah satu solusi dalam memecahkan masalah seleksi penerimaan visa kitas lansia tersebut adalah dengan pengambilan keputusan metode Fuzzy Multi Attribute Dicision Making (MADM). Metode Fuzzy Multi Attribute Dicision Making dapat membantu menyelesaikan permasalahan seleksi penerimaan visa kitas lansia tersebut dengan efektif. Dalam penelitian ini, untuk mendapatkan solusi pengambilan keputusan seleksi penerimaan visa kitas lansia tersebut, perlu disusun beberapa kriteria dan alternatif. Untuk membantu proses seleksi penerimaan visa kitas lansia tersebut, maka dibuat sebuah Sistem Pendukung Keputusan seleksi penerimaan visa kitas lansia tersebut dengan menggunakan metode Fuzzy Multi Attribute Dicision Making (MADM). Sistem Pendukung Keputusan berguna untuk mengolah data-data syarat (input) permohonan visa kitas lansia dan mengahsilkan output status permohonan berupa kesamaan hasil 98% cocok terhadap hasil perhitungan PT. Mulia Prima Permai.Kata kunci: Fuzzy Multi Attribute Dicision Making (MADM), Seleksi visa-kitas lansia, Sistem Pendukung Keputusan

scholarly journals A medical decision support system for predicting the severity level of COVID-19

2021 ◽  
Author(s):  
Mohsen Abbaspour Onari ◽  
Samuel Yousefi ◽  
Masome Rabieepour ◽  
Azra Alizadeh ◽  
Mustafa Jahangoshai Rezaee
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Cognitive Map ◽  
Medical Decision ◽  
Care Process ◽  
Self Organizing Map ◽  
Self Assessment ◽  
Medical Decision Support ◽  
Severity Of The Disease

AbstractThe main assay tool of COVID-19, as a pandemic, still has significant faults. To ameliorate the current situation, all facilities and tools in this realm should be implemented to encounter this epidemic. The current study has endeavored to propose a self-assessment decision support system (DSS) for distinguishing the severity of the COVID-19 between confirmed cases to optimize the patient care process. For this purpose, a DSS has been developed by the combination of the data-driven Bayesian network (BN) and the Fuzzy Cognitive Map (FCM). First, all of the data are utilized to extract the evidence-based paired (EBP) relationships between symptoms and symptoms’ impact probability. Then, the results are evaluated in both independent and combined scenarios. After categorizing data in the triple severity levels by self-organizing map, the EBP relationships between symptoms are extracted by BN, and their significance is achieved and ranked by FCM. The results show that the most common symptoms necessarily do not have the key role in distinguishing the severity of the COVID-19, and extracting the EBP relationships could have better insight into the severity of the disease.

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

2019 ◽  
Vol 36 (2) ◽  
pp. e12369 ◽  
Author(s):  
Valerie Tang ◽  
Paul Kai Yuet Siu ◽  
King Lun Choy ◽  
Hoi Yan Lam ◽  
George To Sum Ho ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Chronic Diseases ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
The Elderly ◽  
Healthcare Industry
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