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PPCD: Privacy-preserving clinical decision with cloud support

Hui Ma, Xuyang Guo, Yuan Ping, Baocang Wang, Yuehua Yang, Zhili Zhang, Jingxian Zhou, Lixiang Li
2019 PLoS ONE  
In this paper, based on single-layer perceptron, we propose a scheme of privacy-preserving clinical decision with cloud support (PPCD), which securely conducts disease model training and prediction for  ...  Each party learns nothing about the other's private information. In PPCD, a lightweight secure multiplication is presented and introduced to improve the model training.  ...  Acknowledgments The authors would like to thank the Editor and the anonymous reviewers for their constructive comments that greatly improved the quality of this manuscript.  ... 
doi:10.1371/journal.pone.0217349 pmid:31141561 pmcid:PMC6541381 fatcat:zhz6a7uwvfg6rj5qgc6aewaocq

A Comprehensive Analysis of Privacy-preserving Techniques in Deep learning based Disease Prediction Systems

J Andrew, Shaun Shibu Mathew, Batra Mohit
2019 Journal of Physics, Conference Series  
Conventional privacy-preserving techniques often tend to hinder the utilitarian aspect of the system.  ...  In this paper we carry out a comprehensive analysis of privacy-preserving techniques for disease prediction systems that use deep learning along with a comparison of the different privacy-preserving techniques  ...  In [19] , a framework in fog-cloud computing for hybrid privacy-preserving clinical decision support system, called HPCS is introduced.  ... 
doi:10.1088/1742-6596/1362/1/012070 fatcat:qi6ytovxzbflfficpa4ifkd7gu

An Efficient File Hierarchy based E-System with Clinical Document Architecture in Cloud Computing

Archana. P, Prasanna. S
2018 International Journal of Trend in Scientific Research and Development  
Our CDA document integration system integrates multiple CDA documents per patient into a single CDA document and physicians and patients can browse the clinical data in chronological order and historical  ...  They collect the real time personal information (PHI) and patient's physical problem and transmitted it to the healthcare provider. share the PHR information in cloud computing, a patient divides his PHR  ...  and privacy requirement in the distributed mhealthcare cloud computing system.  ... 
doi:10.31142/ijtsrd10785 fatcat:r35em5ncdregrkcpew3wn7uuqm

A Novel Approach towards Patient Centric Clinical Decision Support System by using Naive Bayesian Classification based on Cloud Computing

Jaishree M. Kamble
2019 International Journal for Research in Applied Science and Engineering Technology  
It propose a privacy-preserving patient-centric clinical decision support system by using encryption and data mining techniques.  ...  So, to maintain the balance with growing diseases and understanding the todays need we have to transform our healthcare to Preserving Patient-Centric Clinical Decision Support System in terms of computation  ...  (b) Flowchart of Doctor Login Module For Comparative Analysis Processes Existing Proposed Focused Privacy Preserving Privacy Preserving + Clinical Decision Making Location Based Decision Making  ... 
doi:10.22214/ijraset.2019.4523 fatcat:huezgieyvvabfn2npufmxq4ige

A Comprehensive Survey on Secure Outsourced Computation and its Applications

Yang Yang, Xindi Huang, XiMeng Liu, Hongju Cheng, Jian Weng, Xiangyang Luo, Victor Chang
2019 IEEE Access  
However, data outsourcing brings security and privacy concerns to users when the cloud servers are not fully trusted.  ...  INDEX TERMS Secure outsourced computing, privacy preserving, homomorphic encryption, secure outsourced machine learning, data processing.  ...  [146] , private information retrieval [147] , and clinical decision support system [148] .  ... 
doi:10.1109/access.2019.2949782 fatcat:ternbyhqezgd5cvhtfqfggqdqq

AN EFFICIENT AUTHENTICATION SCHEME FOR BLOCK CHAIN-BASED ELECTRONIC HEALTH RECORDS

Keerthika A, Chendhavarayan R
2020 International Journal of Engineering Applied Sciences and Technology  
Cloud based EHRs take care of the issue of data partaking in the customary EHRs. In any case, cloudbased EHRs endure brought together issue, i.e., cloud administration focus and key-age focus.  ...  In conventional Electronic Health Records (EHRs), restorative related data is for the most part independently constrained by various emergency clinics and in this way it prompts burden of data sharing.  ...  ,"Volume: 34, Issue 1, Jan. 2015"In this paper, we propose an e-health monitoring system with minimum service delay and privacy preservation by exploiting geo-distributed clouds.  ... 
doi:10.33564/ijeast.2020.v04i09.063 fatcat:vwbfss3r5vfppa4iv53ybeubcu

PPSDT: A Novel Privacy-Preserving Single Decision Tree Algorithm for Clinical Decision-Support Systems Using IoT Devices

Alia Alabdulkarim, Mznah Al-Rodhaan, Tinghuai Ma, Yuan Tian
2019 Sensors  
In this paper, we propose a privacy-preserving clinical decision-support system based on our novel privacy-preserving single decision tree algorithm for diagnosing new symptoms without exposing patients  ...  Clinical Decision-Support Systems are used to improve the quality of health services by increasing the diagnosis pace and accuracy.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript:  ... 
doi:10.3390/s19010142 fatcat:da2pequqvjcflfrbgq5hzyko54

Security and Privacy-preserving Challenges of e-Health Solutions in Cloud Computing

Shekha Chenthara, Khandakar Ahmed, Hua Wang, Frank Whittaker
2019 IEEE Access  
records (EHRs) in the cloud.  ...  A systematic and comprehensive review of security and privacy-preserving challenges in e-health solutions indicates various privacy preserving approaches to ensure privacy and security of electronic health  ...  ACKNOWLEDGMENT The authors would like to thank Prof. Yuan Miao and Dr. Hui Cui for their valuable comments, suggestions and reviews.  ... 
doi:10.1109/access.2019.2919982 fatcat:3sawv3nb5ndnncdzzk5q2anuwq

e-Health Cloud: Privacy Concerns and Mitigation Strategies [chapter]

Assad Abbas, Samee U. Khan
2015 Medical Data Privacy Handbook  
The EMRs contain information about the diagnosis obtained through the clinical decision support system, clinical notes, and medication.  ...  However, outsourcing the sensitive health information to the third-party cloud providers can result in serious privacy concerns.  ...  [51] proposed a cloud based patient-centric Clinical Decision Support System (CDSS) and claimed that the privacy of patients data obtained during the clinical visits is preserved.  ... 
doi:10.1007/978-3-319-23633-9_15 fatcat:lz766kkhs5bqdeyo5r46n26zci

Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption

Wen-Jie Lu, Yoshiji Yamada, Jun Sakuma
2015 BMC Medical Informatics and Decision Making  
Acknowledgements This work is supported by JST CREST program "Advanced Core Technologies for Big Data Integration" and is partly supported by JSPS KAKENHI 24680015.  ...  Consequently, for outsourcing of computation with genomic data, privacy should be rigorously preserved.  ...  Related work Studies of privacy-preserving data processing in GWAS involve different techniques.  ... 
doi:10.1186/1472-6947-15-s5-s1 pmid:26732892 pmcid:PMC4699111 fatcat:oqdjkyjhj5e7vlmodhjd5ck4e4

Cloud based Secure Multi Owner Hospital Management System

Omkar Warghade, Archana Jadhav, Rupashree Padithurai, Swarali Joshi, Rutuja Patil, Savitribai Phule Pune University
2020 International Journal of Engineering Research and  
Still, storing confidential health information to cloud servers is prone to revelation or stealing and necessitates the event of methodologies that ensure the privacy of PHRs.  ...  Nowadays, in the Healthcare sector, digitalization is an essential part of the system. Technology has placed at the disposal of the healthcare community various potent tools to improve patient care.  ...  This is a privacy preserving system with hidden access policy in shared multi-owner setting. Furthermore, it shows how the system is improvised to support malice user tracking.  ... 
doi:10.17577/ijertv9is010092 fatcat:z3keb4ipfrawddv64734syau4y

Survey of Cloud Computing in Healthcare Sector

S. Karthiga Devi, B. Arputhamary
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services.  ...  This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.  ...  There are wide varieties of health related data sets that play a critical role in the health information systems and clinical decision support systems registries [9] .  ... 
doi:10.23956/ijarcsse/v7i7/0222 fatcat:etu5zprasbe4pppyfna7zjt53a

PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension

Feng Chen, Chenghong Wang, Wenrui Dai, Xiaoqian Jiang, Noman Mohammed, Md Momin Al Aziz, Md Nazmus Sadat, Cenk Sahinalp, Kristin Lauter, Shuang Wang
2017 BMC Medical Genomics  
Conclusions: The proposed PRESAGE provides an alternative solution for secure and efficient genomic data outsourcing in an untrusted cloud by using a hybrid framework that combines secure hardware and  ...  However, privacy and security concerns have emerged as a challenge for utilizing cloud computing to handle sensitive genomic data.  ...  It would potentially benefit healthcare by providing clinical decision support and prognostic estimates for patients and their related subpopulation, e.g., supporting diagnosis of disease, determining  ... 
doi:10.1186/s12920-017-0281-2 pmid:28786365 pmcid:PMC5547453 fatcat:qvfk5n5oijhjvn53m3ibhzcegu

A comprehensive approach to privacy in the cloud-based Internet of Things

Martin Henze, Lars Hermerschmidt, Daniel Kerpen, Roger Häußling, Bernhard Rumpe, Klaus Wehrle
2016 Future generations computer systems  
To address this critical factor and thus realize the cloud-based Internet of Things for a variety of different application areas, we present our comprehensive approach to privacy in this envisioned setting  ...  We allow an individual user to enforce all her privacy requirements before any sensitive data is uploaded to the cloud, enable developers of cloud services to integrate privacy functionality already into  ...  We also thank the anonymous reviewers and conference attendees of the 2014 International Conference on Future Internet of Things and Cloud for their constructive comments which encouraged us to improve  ... 
doi:10.1016/j.future.2015.09.016 fatcat:4sr6vxbct5girfvqxbedquwaiq

A Survey on Secure Data Analytics in Edge Computing

Dan Liu, Zheng Yan, Wenxiu Ding, Mohammed Atiquzzaman
2019 IEEE Internet of Things Journal  
The literature still lacks a thorough review on the recent advances in secure data analytics in edge computing.  ...  Hence, edge computing was introduced to perform data processing and storage in the edge of networks, which is closer to data sources than cloud computing, thus efficient and location-aware.  ...  [70] designed a hybrid clinical decision system in fog-cloud network to monitor patients' physical conditions in real time by combining data mining with Paillier homomorphic encryption.  ... 
doi:10.1109/jiot.2019.2897619 fatcat:fqmkiuse4vgafhiexe4ymqtx6m
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