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1

A novel privacy-supporting 2-class classification technique for brain MRI images

Devi Swagatika, Sahoo Manmath Narayan, Bakshi Sambit

Biocybernetics and Biomedical Engineering

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2020

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Vol. 40, no. 3

1022--1035

EN

Developing automated Computer Aided Diagnosis (CAD) framework for assisting radiologists in a fast and effective classification of brain Magnetic Resonance (MR) images is of great importance, given plausible usage of Electronic Health Records (EHR) in healthcare system. This work aims at proposing two novel privacy supporting classifiers for automatic segregation of brain MR images. To ensure privacy, our article employs a spatial steganographic approach to hide patients sensitive health information in brain images itself. Proposed methods employ Discrete Wavelet Transform (DWT) for extracting relevant features from original and stego images. Subsequently, Symmetrical Uncertainty Ranking (SUR) and Probabilistic Principal Components Analysis (PPCA) are used to obtain a reduced feature vector for Support Vector Machine (SVM) and Filtered Classifier (FC) respectively. The experiments are carried out on two benchmark datasets DS-75 and DS-160 collected from Harvard Medical School website and one larger input pool of self-collected dataset NITR-DHH. To validate this work, the proposed schemes are experimented on both original and stego brain MR images and are compared against eight state-of-the-art classification techniques with respect to six standard parameters. The results reveal that the proposed techniques are robust and scalable with respect to the size of the datasets. Moreover, it is concluded that applying steganographic algorithm on brain MR images yield equally satisfactory classification rate.

2

Mobile applications as a tool supporting healthcare management

Bąkała M., Michalski M.

Polish Journal of Management Studies

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2015

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Vol. 12, No. 1

7--15

EN

Mobile solutions revolutionize healthcare systems as well as the way of management in this area. The complex and dynamic character of healthcare organizations requires a special kind of management in the areas of healthcare knowledge and electronic health records (EHRs). Mobile applications can be very useful and helpful in the terms of information providing, but their role is not limited to transferring it between the doctors, patients and managerial staff. In this paper the role of mobile applications in the work of health care professionals (HCPs) has been shown.This article highlights the role of mobile applications in facilitating HCPs’ work in the terms of time management and EHRs storage and management.

PL

Rozwiązania mobilne są bardzo silnym trendem w systemach opieki zdrowotnej, jak i w zarządzania w tym obszarze. Złożony i dynamiczny charakter organizacji opieki zdrowotnej wymaga specjalnego rodzaju zarządzania w zakresie wiedzy medycznej i elektronicznych rejestrów medycznych. Aplikacje mobilne mogą być bardzo przydatne i pomocne w zakresie dostarczania informacji, ale ich rola nie ogranicza się do przenoszenia ich między lekarzy, pacjentami i personelem kierowniczym. W niniejszym artykule uwypuklono rolę aplikacji mobilnych w pracy pracowników służby zdrowia (HCPS), podkreślono rolę aplikacji mobilnych w ułatwianiu pracy pracownikom służby zdrowia w zakresie zarządzania czasem i EHRs przechowywania i zarządzania.

3

Computer-Based Medical Decision Support System based on guidelines, clinical pathways and decision nodes

Tomaszewski W.

Acta of Bioengineering and Biomechanics

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2012

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Vol. 14, no. 1

107-116

EN

A continuous and dynamic development of medical sciences which is currently taking place all over the world is associated with a considerable increase in the number of scientific reports and papers of importance in enhancing the effectiveness of treatment and quality of medical care. However, it is difficult, or, indeed, impossible, for physicians to regularly follow all recent innovations in medical knowledge and to apply the latest research findings to their daily clinical practice. More and more studies conducted both in Poland and worldwide as well as experience from clinical practice in various countries provide convincing evidence that various systems supporting medical decision-making by physicians or other medical professionals visibly improve the quality of medical care. The use of such systems is already possible and recently has been developing especially dynamically, as the level of knowledge and information and communication technology now permits their effective implementation. Currently, electronic knowledge bases, together with inference procedures, form intelligent medical information systems, which offer many possibilities for the support of medical decision-making, mainly in regard to interactive diagnostic work-up, but also the selection of the most suitable treatment plan (clinical pathway). Regardless of their scale and area of application, these systems are referred to as Computer-Based Medical Decision Support Systems (CBMDSS).

4

Information and communications technology and its application in the materialization of an advanced electronic health record

Paschali K., Tsakona A., Tsolis D., Skapetis G.

Journal of Medical Informatics & Technologies

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2011

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Vol. 17

219--225

EN

The application of new technologies in health units suggests the materialization of an advanced Electronic Health Record as a central axis in medical information management. The aim of present study is to point out the position Information and Communications Technology has in the health field and how it can play a major role in the materialization of an advanced Electronic Health Record, offering major filing capacity in small volume, while strong huge medical data, based on international standards which are directly accessible and processable.