Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network

被引：41

作者：

Ashiquzzaman, Akm ^{[1
]}

Tushar, Abdul Kawsar ^{[1
]}

Islam, Md. Rashedul ^{[1
]}

Shon, Dongkoo ^{[4
]}

Im, Kichang ^{[4
]}

Park, Jeong-Ho ^{[3
]}

Lim, Dong-Sun ^{[3
]}

Kim, Jongmyon ^{[2
]}

机构：

[1] Univ Asia Pacific, Dept CSE, Dhaka, Bangladesh

[2] Univ Ulsan, Dept Elect Elect & Comp Engn, Ulsan, South Korea

[3] ETRI, Intelligent Robot Res Div, Ind IT Convergence Res Grp, SW Contents Res Lab, Daejeon, South Korea

[4] Univ Ulsan, Safety Ctr, Ulsan, South Korea

来源：

IT CONVERGENCE AND SECURITY 2017, VOL 1 | 2018年 / 449卷

关键词：

Dropout; Healthcare; Data overfitting; Diabetes prediction; Neural network; Deep learning;

D O I：

10.1007/978-981-10-6451-7_5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accurate prediction of diabetes is an important issue in health prognostics. However, data overfitting degrades the prediction accuracy in diabetes prognosis. In this paper, a reliable prediction system for the disease of diabetes is presented using a dropout method to address the overfitting issue. In the proposed method, deep learning neural network is employed where fully connected layers are followed by dropout layers. The proposed neural network outperforms other state-of-art methods in better prediction scores for the Pima Indians Diabetes Data Set.

引用

页码：35 / 43

页数：9

共 50 条

[21] Overfitting Reduction of Pose Estimation for Deep Learning Visual Odometry
Yang, Xiaohan
Li, Xiaojuan
Guan, Yong
Song, Jiadong
Wang, Rui
CHINA COMMUNICATIONS, 2020, 17 (06) : 196 - 210
[22] Pediatric diabetes prediction using deep learning
El-Bashbishy, Abeer El-Sayyid
El-Bakry, Hazem M.
SCIENTIFIC REPORTS, 2024, 14 (01):
[23] Diabetes prediction model based on an enhanced deep neural network
Huaping Zhou
Raushan Myrzashova
Rui Zheng
EURASIP Journal on Wireless Communications and Networking, 2020
[24] Deep Belief Neural Network Model for Prediction of Diabetes Mellitus
Prabhu, P.
Selvabharathi, S.
2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATION (ICISPC), 2019, : 138 - 142
[25] Diabetes prediction model based on an enhanced deep neural network
Zhou, Huaping
Myrzashova, Raushan
Zheng, Rui
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2020, 2020 (01)
[26] A New Approach to Load Shedding Prediction in GECOL Using Deep Learning Neural Network
Abusida, Ashraf Mohammed
Hancerliogullari, Aybaba
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2022, 22 (03): : 220 - 228
[27] An Improved Prediction of Solar Cycle 25 Using Deep Learning Based Neural Network
Prasad, Amrita
Roy, Soumya
Sarkar, Arindam
Panja, Subhash Chandra
Patra, Sankar Narayan
SOLAR PHYSICS, 2023, 298 (03)
[28] A Novel Visual Field Prediction Using Deep Learning: A Recurrent Neural Network Architecture
Park, Keunheung
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
[29] Streamflow Prediction Using Deep Learning Neural Network: Case Study of Yangtze River
Liu, Darong
Jiang, Wenchao
Mu, Lin
Wang, Si
IEEE ACCESS, 2020, 8 : 90069 - 90086
[30] An Improved Prediction of Solar Cycle 25 Using Deep Learning Based Neural Network
Amrita Prasad
Soumya Roy
Arindam Sarkar
Subhash Chandra Panja
Sankar Narayan Patra
Solar Physics, 2023, 298

← 1 2 3 4 5 →