Diabetes Prediction Medicament using Optimized SVM algorithm with Outlier detection and removal

被引：0
作者：
Kanmani, K. [1 ,2 ]
Murugan, A. [3 ]
机构：
[1] Dr Ambedkar Govt Arts Coll, Chennai 600039, Tamil Nadu, India
[2] SRM Inst Sci & Technol, Coll Sci & Humanities, Dept Comp Applicat, Chennai 603203, TN, India
[3] Dr Ambedkar Govt ArtsColl Autonomous, PG & Res Dept Comp Sci, Chennai 600039, TN, India
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2022年 / 22卷 / 05期
关键词：
Data mining; SVM; Outlier Detection; R programming;
D O I：
10.22937/IJCSNS.2022.22.5.74
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data mining-based prediction techniques can help in the early detection of diabetes and the related critical events. Data mining algorithms are being used to improve the early diagnosis of diseases such as type 2 diabetes. This study aims to develop an Optimized Prediction Model that can predict the risk of diabetes. In this work we are using an optimized SVM with applied outlier detection removal mechanism based on the input factors from individuals, we implemented this process by Using R Programming.
引用
收藏
页码：539 / 544
页数：6
相关论文
共 50 条
  • [41] Prediction of Employee Turn Over Using Random Forest Classifier with Intensive Optimized Pca Algorithm
    Wild Ali, Alaeldeen Bader
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 119 (04) : 3365 - 3382
  • [42] Prediction of Employee Turn Over Using Random Forest Classifier with Intensive Optimized Pca Algorithm
    Alaeldeen Bader Wild Ali
    Wireless Personal Communications, 2021, 119 : 3365 - 3382
  • [43] Disease Prediction Using a Modified Multi-Layer Perceptron Algorithm in Diabetes
    Dayal K.
    Shukla M.
    Mahapatra S.
    EAI Endorsed Transactions on Pervasive Health and Technology, 2023, 9
  • [44] Cloud detection algorithm using SVM with SWIR2 and tasseled cap applied to Landsat 8
    Joshi, Pratik P.
    Wynne, Randolph H.
    Thomas, Valerie A.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 82
  • [45] Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
    Banadkooki, Fatemeh Barzegari
    Ehteram, Mohammad
    Ahmed, Ali Najah
    Teo, Fang Yenn
    Fai, Chow Ming
    Afan, Haitham Abdulmohsin
    Sapitang, Michelle
    El-Shafie, Ahmed
    NATURAL RESOURCES RESEARCH, 2020, 29 (05) : 3233 - 3252
  • [46] Genetic Algorithm Based Outlier Detection Using Bayesian Information Criterion in Multiple Regression Models Having Multicollinearity Problems
    Alma, Ozlem Gurunlu
    Kurt, Serdar
    Ugur, Aybars
    GAZI UNIVERSITY JOURNAL OF SCIENCE, 2009, 22 (03): : 141 - 148
  • [47] A novel Fault Diagnosis Approach (FDA) for electric drives using optimized outlier detection model and long short-term memory networks
    Rabie, Asmaa H.
    Sultan, Yara A.
    COMPUTERS & ELECTRICAL ENGINEERING, 2025, 123
  • [48] Awareness of Wrong-Lane Accident Detection using Random Forest Compared with SVM Algorithm with Increased Accuracy
    Pradyumna, B.
    Nagaraju, V.
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, 13 : 736 - 744
  • [49] Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection
    Anaram Yaghoobi Notash
    Aidin Yaghoobi Notash
    Zahra Omidi
    Shahpar Haghighat
    BMC Medical Informatics and Decision Making, 22
  • [50] Prediction Performance of Separate Collection of Packaging Waste Yields Using Genetic Algorithm Optimized Support Vector Machines
    Sousa, V.
    Meireles, I.
    Oliveira, V.
    Dias-Ferreira, C.
    WASTE AND BIOMASS VALORIZATION, 2019, 10 (12) : 3603 - 3612
12345