Decision support system for type II diabetes and its risk factor prediction using bee-based harmony search and decision tree algorithm

2019 ◽  
Vol 29 (1) ◽  
pp. 46
Author(s):  
S. Selvakumar ◽  
A. Sheik Abdullah ◽  
R. Suganya
Keyword(s):  
Risk Factor ◽  
Decision Support ◽  
Decision Tree ◽  
Decision Support System ◽  
Support System ◽  
Type Ii Diabetes ◽  
Harmony Search ◽  
Type Ii ◽  
Decision Tree Algorithm ◽  
Tree Algorithm

859-P: Impact of a Prediabetes Clinical Decision Support System on CV Risk Factor Control in Primary Care: Randomized Trial

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 859-P
Author(s):  
JAY R. DESAI ◽  
A. LAUREN CRAIN ◽  
DANIEL SAMAN ◽  
JOANN M. SPERL-HILLEN ◽  
CLAYTON ALLEN ◽  
...  
Keyword(s):  
Primary Care ◽  
Risk Factor ◽  
Decision Support ◽  
Decision Support System ◽  
Randomized Trial ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
Risk Factor Control

Predictive modelling analysis for development of a radiotherapy decision support system in prostate cancer: a preliminary study

2017 ◽  
Vol 16 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Kwang Hyeon Kim ◽  
Suk Lee ◽  
Jang Bo Shim ◽  
Kyung Hwan Chang ◽  
Yuanjie Cao ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Decision Support ◽  
Decision Tree ◽  
Decision Support System ◽  
Support System ◽  
Predictive Modelling ◽  
Radiotherapy Planning ◽  
Support Vector ◽  
Toxicity Prediction ◽  
Planning Decision

AbstractPurposeThe aim of this study is to develop predictive models to predict organ at risk (OAR) complication level, classification of OAR dose-volume and combination of this function with our in-house developed treatment decision support system.Materials and methodsWe analysed the support vector machine and decision tree algorithm for predicting OAR complication level and toxicity in order to integrate this function into our in-house radiation treatment planning decision support system. A total of 12 TomoTherapyTM treatment plans for prostate cancer were established, and a hundred modelled plans were generated to analyse the toxicity prediction for bladder and rectum.ResultsThe toxicity prediction algorithm analysis showed 91·0% accuracy in the training process. A scatter plot for bladder and rectum was obtained by 100 modelled plans and classification result derived. OAR complication level was analysed and risk factor for 25% bladder and 50% rectum was detected by decision tree. Therefore, it was shown that complication prediction of patients using big data-based clinical information is possible.ConclusionWe verified the accuracy of the tested algorithm using prostate cancer cases. Side effects can be minimised by applying this predictive modelling algorithm with the planning decision support system for patient-specific radiotherapy planning.

scholarly journals RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMILIHAN LAPTOP DENGAN METODE DECISION TREE

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Dedi Anggaradana
Keyword(s):  
Decision Support ◽  
Decision Tree ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
High Mobility ◽  
Interactive System ◽  
Step Method ◽  
Step Step ◽  
The Right

ABSTRACT<br />A very rapid development of technology makes the laptop seems to have not a luxury<br />anymore. Those with high mobility and frequent travel, choose the laptop as something that<br />accompanies every job they wherever they went. But not a few consumers who are hesitant and<br />confused when trying to buy a new laptop since the laptop is not cheap stuff. Moreover currently<br />popping up various types of laptops with different specs and brand, any price varies. Not<br />infrequently the consumer to buy a laptop with good specs without thinking about its usefulness.<br />For that it is necessary a decision support system for laptop malakukan selection<br />process effectively and efficiently. Decision support system is an interactive system that supports<br />the decision in the decision making process through the alternative - the alternative obtained<br />from the data processing, information and design models.<br />Making an online decision support system using the decision tree method is able to<br />resolve the election issue this laptop, with a step - step method is simple, easily understood,<br />effective and efficient. With the web-based decision support system will be the technology that not<br />only provides convenience, but able to provide solutions to an individual in choosing the right<br />laptop and also fit your needs and budget.<br />Keywords : System, Decision Support, Decision Tree<br />ABSTRAK<br />Perkembangan teknologi yang sangat pesat membuat laptop sepertinya sudah bukan<br />menjadi barang mewah lagi. Mereka yang mobilitasnya tinggi dan sering bepergian, memilih<br />laptop sebagai benda yang menemani setiap pekerjaan mereka kemanapun mereka pergi.<br />Namun tak sedikit konsumen yang bimbang dan kebingungan saat ingin membeli laptop<br />baru mengingat laptop bukanlah barang murah. Terlebih lagi saat ini bermunculan berbagai<br />jenis laptop dengan beragam spesifikasi dan merk, pun harganya bervariasi. Tak jarang pula<br />konsumen membeli laptop dengan spesifikasi yang bagus tanpa memikirkan kegunaannya.<br />Untuk itu sangat diperlukan suatu sistem pendukung keputusan untuk malakukan<br />proses pemilihan laptop secara efektif dan efisien. Sistem pendukung keputusan merupakan suatu<br />sistem interaktif yang mendukung keputusan dalam proses pengambilan keputusan melalui<br />alternatif – alternatif yang diperoleh dari hasil pengolahan data, informasi dan rancangan model.<br />Pembuatan suatu sistem pendukung keputusan secara online dengan menggunakan<br />metode decision tree mampu menyelesaikan untuk persoalan pemilihan laptop ini, dengan<br />langkah – langkah metode ini yang sederhana, mudah dipahami, efektif dan efisien. Dengan<br />adanya sistem pendukung keputusan berbasis web ini akan menjadi teknologi yang tidak hanya<br />memberikan kemudahan, namun mampu memberikan solusi kepada seseorang dalam memilih<br />laptop yang tepat dan juga sesuai dengan kebutuhan dan anggaran.<br />Kata kunci : Sistem, Pendukung Keputusan, Decision Tree

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