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Journal of Medical Systems

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https://www.readbyqxmd.com/read/29995204/framework-of-computer-aided-diagnosis-systems-for-cancer-classification-based-on-medical-images
#1
Enas M F El Houby
Early detection of cancer can increase patients' survivability and treatment options. Medical images such as Mammogram, Ultrasound, Magnetic Resonance Imaging, and microscopic images are the common method for cancer diagnosis. Recently, computer-aided diagnosis (CAD) systems have been used to help physicians in cancer diagnosis so that the diagnosis accuracy can be improved. CAD can help in decreasing missed cancer lesions due to physician fatigue, reducing the burden of workload and data overloading, and decreasing variability of inter- and intra-readers of images...
July 11, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29987560/a-proposed-solution-and-future-direction-for-blockchain-based-heterogeneous-medicare-data-in-cloud-environment
#2
Harleen Kaur, M Afshar Alam, Roshan Jameel, Ashish Kumar Mourya, Victor Chang
The healthcare data is an important asset and rich source of healthcare intellect. Medical databases, if created properly, will be large, complex, heterogeneous and time varying. The main challenge nowadays is to store and process this data efficiently so that it can benefit humans. Heterogeneity in the healthcare sector in the form of medical data is also considered to be one of the biggest challenges for researchers. Sometimes, this data is referred to as large-scale data or big data. Blockchain technology and the Cloud environment have proved their usability separately...
July 10, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29987660/medical-malpractice-trends-errors-in-automated-speech-recognition
#3
Maxim Topaz, Adam Schaffer, Kenneth H Lai, Zfania Tom Korach, Jonathan Einbinder, Li Zhou
No abstract text is available yet for this article.
July 9, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29987622/convolutional-neural-network-for-segmentation-and-measurement-of-intima-media-thickness
#4
Sudha S, Jayanthi K B, Rajasekaran C, Nirmala Madian, Sunder T
The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a novel method of using deep Convolutional Neural Network (CNN) for identification and measurement of IMT on the far wall of the artery. The Region of Interest (ROI) is extracted using CNN architecture with 8 layers. 110 subjects are taken for the study. Each subject is recorded with one Right Common Carotid Artery (RCCA) and Left Common Carotid Artery (LCCA) frame resulting in 220 recordings...
July 9, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29987476/medicare-metrics-and-trust-in-the-future
#5
Julie Babyar
System improvements to Medicare are critical to ensure a stable and sustainable future. Measures and outcomes in Medicare are collaborative in foundation and have the potential to become even stronger. Utilization research, comparative effectiveness research and regulatory considerations must strive for best practice for the Medicare population. Government, regulatory, industry and academia should continue to work together for cost effective approaches that yield evidence-based interventions for positive health outcomes...
July 9, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29974270/secure-cloud-based-ehr-system-using-attribute-based-cryptosystem-and-blockchain
#6
Hao Wang, Yujiao Song
To achieve confidentiality, authentication, integrity of medical data, and support fine-grained access control, we propose a secure electronic health record (EHR) system based on attribute-based cryptosystem and blockchain technology. In our system, we use attribute-based encryption (ABE) and identity-based encryption (IBE) to encrypt medical data, and use identity-based signature (IBS) to implement digital signatures. To achieve different functions of ABE, IBE and IBS in one cryptosystem, we introduce a new cryptographic primitive, called combined attribute-based/identity-based encryption and signature (C-AB/IB-ES)...
July 5, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29974336/study-on-contribution-of-biological-interpretable-and-computer-aided-features-towards-the-classification-of-childhood-medulloblastoma-cells
#7
Daisy Das, Lipi B Mahanta, Shabnam Ahmed, Basanta Kr Baishya, Inamul Haque
Diagnosis and Prognosis of brain tumour in children is always a critical case. Medulloblastoma is that subtype of brain tumour which occurs most frequently amongst children. Post-operation, the classification of its subtype is most vital for further clinical management. In this paper a novel approach of pathological subtype classification using biological interpretable and computer-aided textural features is forwarded. The classifier for accurate features prediction is built purely on the feature set obtained by segmentation of the ground truth cells from the original histological tissue images, marked by an experienced pathologist...
July 4, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29968118/clinical-interest-and-economic-impact-of-preoperative-sms-reminders-before-ambulatory-surgery-a-propensity-score-analysis
#8
Fanny Garnier, Didier Sciard, Florence Marchand-Maillet, Alexandre Theissen, Damir Mohamed, Corinne Alberti, Marc Beaussier
Patient contact by telephone the day before ambulatory surgery is considered as a best practice. The Short Message Service (SMS) could be a suitable alternative. The objective of this prospective study was to evaluate the interest of preoperative instruction (PI) reminders by SMS compared to telephone calls. This was a prospective single center before-and-after study. Patients scheduled in ambulatory surgery were included during 2 consecutive periods of 10 weeks. The "Call" group received a telephone call for preoperative instructions (PI) and the "SMS" group received an automated protocol SMS reminder...
July 3, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29968202/mistore-a-blockchain-based-medical-insurance-storage-system
#9
Lijing Zhou, Licheng Wang, Yiru Sun
Currently, blockchain technology, which is decentralized and may provide tamper-resistance to recorded data, is experiencing exponential growth in industry and research. In this paper, we propose the MIStore, a blockchain-based medical insurance storage system. Due to blockchain's the property of tamper-resistance, MIStore may provide a high-credibility to users. In a basic instance of the system, there are a hospital, patient, insurance company and n servers. Specifically, the hospital performs a (t, n)-threshold MIStore protocol among the n servers...
July 2, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29961160/bmpls-blockchain-based-multi-level-privacy-preserving-location-sharing-scheme-for-telecare-medical-information-systems
#10
Yaxian Ji, Junwei Zhang, Jianfeng Ma, Chao Yang, Xin Yao
The sharing of patients' locations is an important part in mobile medical services and modern smart healthcare. Although location sharing based on blockchains has advantages on decentralization and openness, there is also a challenge to guarantee the security and the privacy of locations recorded in a blockchain. To this end, this paper investigates the location sharing based on blockchains for telecare medical information systems. Firstly, we define the basic requirements of blockchain-based location sharing including decentralization, unforgeability, confidentiality, multi-level privacy protection, retrievability and verifiability...
June 30, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29961144/design-and-evaluation-of-a-real-time-physiological-signals-acquisition-system-implemented-in-multi-operating-rooms-for-anesthesia
#11
Quan Liu, Li Ma, Shou-Zen Fan, Maysam F Abbod, Cheng-Wei Lu, Tzu-Yu Lin, Kuo-Kuang Jen, Shang-Ju Wu, Jiann-Shing Shieh
With critical importance of medical healthcare, there exist urgent needs for in-depth medical studies that can access and analyze specific physiological signals to provide theoretical support for practical clinical care. As a consequence, obtaining the valuable medical data with minimal cost and impacts on hospital work comes as the first concern of researchers. Anesthesia plays a widely recognized role in surgeries, which attracts people to undertake relevant research. In this paper, a real-time physiological medical signal data acquisition system (PMSDA) for the multi-operating room applications is proposed with high universality of the hospital practical settings and research requirements...
June 30, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29959607/an-improved-two-layer-authentication-scheme-for-wireless-body-area-networks
#12
Xiaoguang Liu, Chunhua Jin, Fagen Li
Wireless body area networks (WBANs) comprises a number of sensor nodes and the portable mobile device such as smartphone. It is used to monitor the physical condition and provide a reliable healthcare system. Utilizing the wireless communication network, sensor nodes collect the physiological data of one patient to the portable mobile device and the latter analyzes and transmits them to the application providers. Therefore, the personal data confidentiality and user privacy are cores of WBANs. Recently, Shen et al...
June 29, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29959539/feature-selection-for-automatic-tuberculosis-screening-in-frontal-chest-radiographs
#13
Szilárd Vajda, Alexandros Karargyris, Stefan Jaeger, K C Santosh, Sema Candemir, Zhiyun Xue, Sameer Antani, George Thoma
To detect pulmonary abnormalities such as Tuberculosis (TB), an automatic analysis and classification of chest radiographs can be used as a reliable alternative to more sophisticated and technologically demanding methods (e.g. culture or sputum smear analysis). In target areas like Kenya TB is highly prevalent and often co-occurring with HIV combined with low resources and limited medical assistance. In these regions an automatic screening system can provide a cost-effective solution for a large rural population...
June 29, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29959536/automated-anatomic-labeling-architecture-for-content-discovery-in-medical-imaging-repositories
#14
Eduardo Pinho, Carlos Costa
The combination of textual data with visual features is known to enhance medical image search capabilities. However, the most advanced imaging archives today only index the studies' available meta-data, often containing limited amounts of clinically useful information. This work proposes an anatomic labeling architecture, integrated with an open source archive software, for improved multimodal content discovery in real-world medical imaging repositories. The proposed solution includes a technical specification for classifiers in an extensible medical imaging archive, a classification database for querying over the extracted information, and a set of proof-of-concept convolutional neural network classifiers for identifying the presence of organs in computed tomography scans...
June 29, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29959535/evaluating-the-privacy-policies-of-mobile-personal-health-records-for-pregnancy-monitoring
#15
Mariam Bachiri, Ali Idri, José Luis Fernández-Alemán, Ambrosio Toval
A mobile personal health record (mPHR) for pregnancy monitoring allows the pregnant woman to track and manage her personal health data. However, owing to the privacy and security issues that may threaten the exchange of this sensitive data, a privacy policy should be established. The aim of this study is to evaluate the privacy policies of 19 mPHRs for pregnancy monitoring (12 for iOS and 7 for Android) using a template covering the characteristics of privacy, security, and standards and regulations. The findings of this study show that none of the privacy policies evaluated entirely comply with the characteristics studied...
June 29, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29956061/towards-secure-and-privacy-preserving-data-sharing-in-e-health-systems-via-consortium-blockchain
#16
Aiqing Zhang, Xiaodong Lin
Electronic health record sharing can help to improve the accuracy of diagnosis, where security and privacy preservation are critical issues in the systems. In recent years, blockchain has been proposed to be a promising solution to achieve personal health information (PHI) sharing with security and privacy preservation due to its advantages of immutability. This work proposes a blockchain-based secure and privacy-preserving PHI sharing (BSPP) scheme for diagnosis improvements in e-Health systems. Firstly, two kinds of blockchains, private blockchain and consortium blockchain, are constructed by devising their data structures, and consensus mechanisms...
June 28, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29956058/blockchain-based-data-preservation-system-for-medical-data
#17
Hongyu Li, Liehuang Zhu, Meng Shen, Feng Gao, Xiaoling Tao, Sheng Liu
Medical care has become an indispensable part of people's lives, with a dramatic increase in the volume of medical data (e.g., diagnosis certificates and medical records). Medical data, however, is easily stolen, tampered with, or even completely deleted. If the above occurs, medical data cannot be recorded or retrieved in a reliable manner, resulting in delay treatment progress, even endanger the patient's life. In this paper, we propose a novel blockchain-based data preservation system (DPS) for medical data...
June 28, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29956014/a-survey-of-data-mining-and-deep-learning-in-bioinformatics
#18
REVIEW
Kun Lan, Dan-Tong Wang, Simon Fong, Lian-Sheng Liu, Kelvin K L Wong, Nilanjan Dey
The fields of medicine science and health informatics have made great progress recently and have led to in-depth analytics that is demanded by generation, collection and accumulation of massive data. Meanwhile, we are entering a new period where novel technologies are starting to analyze and explore knowledge from tremendous amount of data, bringing limitless potential for information growth. One fact that cannot be ignored is that the techniques of machine learning and deep learning applications play a more significant role in the success of bioinformatics exploration from biological data point of view, and a linkage is emphasized and established to bridge these two data analytics techniques and bioinformatics in both industry and academia...
June 28, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29956007/an-efficient-mutual-authentication-framework-for-healthcare-system-in-cloud-computing
#19
Vinod Kumar, Srinivas Jangirala, Musheer Ahmad
The increasing role of Telecare Medicine Information Systems (TMIS) makes its accessibility for patients to explore medical treatment, accumulate and approach medical data through internet connectivity. Security and privacy preservation is necessary for medical data of the patient in TMIS because of the very perceptive purpose. Recently, Mohit et al.'s proposed a mutual authentication protocol for TMIS in the cloud computing environment. In this work, we reviewed their protocol and found that it is not secure against stolen verifier attack, many logged in patient attack, patient anonymity, impersonation attack, and fails to protect session key...
June 28, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/29938379/an-augmented-reality-endoscope-system-for-ureter-position-detection
#20
Feng Yu, Enmin Song, Hong Liu, Yunlong Li, Jun Zhu, Chih-Cheng Hung
Iatrogenic injury of ureter in the clinical operation may cause the serious complication and kidney damage. To avoid such a medical accident, it is necessary to provide the ureter position information to the doctor. For the detection of ureter position, an ureter position detection and display system with the augmented ris proposed to detect the ureter that is covered by human tissue. There are two key issues which should be considered in this new system. One is how to detect the covered ureter that cannot be captured by the electronic endoscope and the other is how to display the ureter position that provides stable and high-quality images...
June 25, 2018: Journal of Medical Systems
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