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A Data-Driven Heart Disease Prediction Model Through K-Means Clustering-Based Anomaly Detection

Rony Chowdhury Ripan, Iqbal H. Sarker, Syed Md. Minhaz Hossain, Md. Musfique Anwar, Raza Nowrozy, Mohammed Moshiul Hoque, Md. Hasan Furhad
2021 SN Computer Science  
Our proposed model first determines an optimal value of K using the Silhouette method to form the clusters for finding the anomalies.  ...  However, to build such an effective model based on machine learning techniques, the quality of the data, e.g., data without "anomalies" or outliers, is important.  ...  [33] proposed an approach of unsupervised anomaly detection using an extended Isolation forest algorithm.  ... 
doi:10.1007/s42979-021-00518-7 fatcat:eyk2xcyliragzgp7prtlopl35a

Anomaly Detection in Medical Wireless Sensor Networks

Osman Salem, Yaning Liu, Ahmed Mehaoua
2013 Journal of Computing Science and Engineering  
The proposed approach is based on the Mahalanobis distance for spatial analysis, and a kernel density estimator for the identification of abnormal temporal patterns.  ...  In this paper, we propose a new framework for anomaly detection in medical wireless sensor networks, which are used for remote monitoring of patient vital signs.  ...  ACKNOWLEDGMENTS This research was supported by the Korea Science and Engineering Foundation, under the World Class University (WCU) program.  ... 
doi:10.5626/jcse.2013.7.4.272 fatcat:jaqdgdrhnnfipgasb3g43yf3yy

Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review [article]

Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer, Petr Musilek
2021 arXiv   pre-print
In this paper, we present a systematic literature review of the applications of GANs in anomaly detection, covering 128 papers on the subject.  ...  Anomaly detection has become an indispensable tool for modern society, applied in a wide range of applications, from detecting fraudulent transactions to malignant brain tumours.  ...  Acknowledgments The research reported in this article has been supported by the Government of Alberta under the Major Innovation Fund project RCP-19-001-MIF, and by the Natural Sciences and Engineering  ... 
arXiv:2110.12076v1 fatcat:iblxycthufhzfk2aek2ng5pfoy

Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review

Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer, Petr Musilek
2021 IEEE Access  
Anomaly detection has become an indispensable tool for modern society, applied in a wide range of applications, from detecting fraudulent transactions to malignant brain tumors.  ...  The goal of this review paper is to analyze the relation between anomaly detection techniques and types of GANs, to identify the most common application domains for GAN-assisted and GAN-based anomaly detection  ...  These were among the first proposed GAN architectures, and there are many new ones which are not (yet) used for anomaly detection purposes.  ... 
doi:10.1109/access.2021.3131949 fatcat:wsutmjn6zrhnriofes6unh3ueu

Early detection of critical pulmonary shunts in infants

Radoslav Ivanov, James Weimer, Allan Simpao, Mohamed Rehman, Insup Lee
2015 Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems - ICCPS '15  
Therefore, as a first step towards supplementing the usage of S p O 2 , this work introduces a predictive monitor designed to provide early detection of critical drops in C a O 2 caused by a pulmonary  ...  Therefore, as a first step towards supplementing the usage of SpO2, this work introduces a predictive monitor designed to provide early detection of critical drops in CaO2 caused by a pulmonary shunt in  ...  This work fits in the second area, hence we review the related work on anomaly detection. There are many approaches to performing anomaly detection and hypothesis testing.  ... 
doi:10.1145/2735960.2735962 dblp:conf/iccps/IvanovWSRL15 fatcat:xcqdjji7zzaqnj2eo5fi46ojcu

Internet of Things: Evolution, Concerns and Security Challenges

Parushi Malhotra, Yashwant Singh, Pooja Anand, Deep Kumar Bangotra, Pradeep Kumar Singh, Wei-Chiang Hong
2021 Sensors  
The survey conducted provides a brief insight into the technology with prime attention towards the various attacks and anomalies and their detection based on the intelligent intrusion detection system  ...  Hence, timely detection and prevention of such threats are pre-requisites to prevent serious consequences.  ...  Hence, these approaches are instrumental in detecting outliers and novel anomalies.  ... 
doi:10.3390/s21051809 pmid:33807724 fatcat:5qznjvr665fjpmh7vy5jzp6chy

A Preliminary Approach for the Segmentation of Mitral Valve Regurgitation Jet in Doppler Ecocardiography Images

Eva Costa, Nelson Martins, Malik Saad Sultan, Diana Veiga, Manuel João Ferreira, Sandra Mattos, Miguel Coimbra
2017 Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies  
Automatic segmentation of colour Doppler regurgitation jets could, potentially, reduce the cost of screening, and spread diagnostic accessibility for a larger number of patients.  ...  detection rate=0.28).  ...  GE and PHILLIPS for providing the equipment. Health professionals from Círculo do Coração for their volunteer work and data collection.  ... 
doi:10.5220/0006248900470054 dblp:conf/biostec/CostaMSVFMC17 fatcat:6ovkhtmygrhrjh7tczqhl3opsq

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  ., +, TIM 2021 3518214 A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Toward Health–Related Accident Prevention: Symptom Detection and Intervention based on Driver Monitoring and Verbal Interaction

Hiroaki Hayashi, Mitsuhiro Kamezaki, Shigeki Sugano
2021 IEEE Open Journal of Intelligent Transportation Systems  
Toward solving these problems, we propose a new method with a multi-sensor based driver monitoring system to detect cues of symptoms quickly and a verbal interaction system to confirm the internal state  ...  and did outlier detection only with normal driving data.  ...  There are several types in unsupervised anomaly detection: (a) one for data following a normal distribution, e.g., Hotelling's T2 statistic [36] and Mahalanobis Taguchi system, and (b) the other for  ... 
doi:10.1109/ojits.2021.3102125 fatcat:7bit6omyvvhj3fyhy4u5nk3nlm

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  ., +, TIM Oct. 2020 8261-8269 Online Fault Detection in Autonomous Ferries: Using Fault-Type Independent Spectral Anomaly Detection.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

The role of embryology in teratological research, with particular reference to the development of the neural tube and heart

M. H. Kaufman
1981 Reproduction  
result of anomalies of the cardiovascular system.  ...  Okamoto (1968) reported a maximal incidence of cardiovascular anomalies (84-6%) in rat embryos, when pregnant females were exposed on the 8th day after conception to a single dose of 130 rads of whole-body  ...  The work is supported by a grant from the National Fund for Research into Crippling Diseases.  ... 
doi:10.1530/jrf.0.0620607 pmid:7019432 fatcat:yuyduor4jzeu5dlcbzi2lvukjy

A Scalable Solution to Detect Behavior Changes of Elderly People Living Alone

Ioan Susnea, Emilia Pecheanu, Cristian Sandu, Adina Cocu
2021 Applied Sciences  
, requires little expert knowledge for setup and protects the privacy of the monitored persons) that make it applicable on a large scale, including for people with low socio-economic status.  ...  Then, we propose a method for automatic analysis of the activity maps in order to detect deviations from the previously recorded routine.  ...  autonomy, along with the feelings of social isolation and stigma.  ... 
doi:10.3390/app12010235 fatcat:tyssuctmfze4tlay5xraay45hy

Review and investigations on future research directions of mobile based telecare system for cardiac surveillance

S. Palanivel Rajan
2015 Journal of Applied Research and Technology  
Especially, we focus on some of the key communications challenges for understanding interoperable and future-proof of Mobile Tele-health systems, need for doing research in this broad area with the help  ...  This article talks about a few of the vital challenges and opportunities of communications research in the areas of Telemedicine and E-Health.  ...  Acknowledgments Author of this paper would like to express his sincere thanks to the Department of Electronics and Communication Engineering, M.  ... 
doi:10.1016/j.jart.2015.09.002 fatcat:5ht2zhae5zc6nmef76czvzgrp4

Wearable Sensors for Monitoring and Preventing Noncommunicable Diseases: A Systematic Review

Annica Kristoffersson, Maria Lindén
2020 Information  
To reach this goal, means for detecting and reacting to warning signals are necessary. Here, remote health monitoring in real time has great potential.  ...  Ensuring healthy lives and promoting a healthy well-being for all at all ages are listed as some of the goals in Agenda 2030 for Sustainable Development.  ...  Aiming for generalizability, they presented a fault-tolerant framework on mHealth in an IoT context.  ... 
doi:10.3390/info11110521 fatcat:epq6ofjyofb3dmu7syc4pqaumm

Hyperbox based machine learning algorithms: A comprehensive survey [article]

Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
2019 arXiv   pre-print
This paper aims to give a comprehensive survey of literature on hyperbox-based machine learning models.  ...  neural networks, hyperbox-based hybrid models, and other algorithms based on hyperbox representations.  ...  Lv et al (2015) compared fault diagnosis and isolation approaches using support vector machines and fuzzy min-max neural network for the train suspension system.  ... 
arXiv:1901.11303v3 fatcat:ak66d74lxvbp7j3hjg4mzvqlr4
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