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Home / programming language / Online Java Projects / A distributed ensemble approach for mining health care data under privacy constraints
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A distributed ensemble approach for mining health care data under privacy constraints

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SKU: PROJ7592 Categories: 2017 Projects, Android Projects, Datamining Projects, Final Year Projects, Online Java Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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A distributed ensemble approach for mining health care data under privacy constraints

Abstract— Electronic health records (EHRs) have been widely ad aptedate many health care facilities in an attempt to improve the quality of patient care and increase the productivity and efficiency of health care delivery. These EHRs can accurately diagnosed is eases if utilized ap-propriately. While the EHRs can potentially resolve many of the existing problems associated with diseased I agnosis, one of the main obstacles in effectively using the mis the patient pri-vacy and sensitivity of the medical information available in the EHR. Due to these concerns, even if the HERs are available for storage and retrieval purposes, sharing of the patient records between different health care facilities has become a major concern and has hampered some of the effective advantages of using EHRs. < final year projects >

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