International Journal of Healthcare Information Systems and Informatics (IJHISI) 11(4)

Qiang (Shawn) Cheng (University of Kentucky, USA) and Joseph Tan (McMaster University, Canada)

ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781466689633|DOI: 10.4018/IJHISI.20161001

MLA

Cheng, Qiang (Shawn)and Joseph Tan. "International Journal of Healthcare Information Systems and Informatics (IJHISI)." (2016). Web. 1 May. 2024. doi:10.4018/IJHISI.20161001

APA

Cheng, Q. & Tan, J. (2016). International Journal of Healthcare Information Systems and Informatics (IJHISI). doi:10.4018/IJHISI.20161001

Chicago

Cheng, Qiang (Shawn)and Joseph Tan. "International Journal of Healthcare Information Systems and Informatics (IJHISI)," (2016), accessed (May 01, 2024), doi:10.4018/IJHISI.20161001

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The International Journal of Healthcare Information Systems and Informatics (IJHISI) disseminates current technological innovations and applications in the emerging field of information systems and informatics applications in the healthcare industry while directing frameworks to advancing healthcare and clinical practices and research. This journal provides practitioners, educators, and researchers with an international collection of case studies, surveys, and empirical research using qualitative approaches as well as state-of-the-art reviews, papers, and books.

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A Multidisciplinary Remote Healthcare Delivery System to Increase Health Care Access, Pathology Screening, and Treatment in Developing Countries: The Case of Benin (pages 1-31)

Thierry Oscar Edoh, Pravin Amrut Pawar, Bernd Brügge, Gunnar Teege

In this paper, the authors describe a case study of the poor access to healthcare in developing world, case of Benin, a West African developing country. The authors identify problems and the existing obstacles for applying standard...

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The MAV-ES Data Integration Approach for Decisional Information Systems (DIS): A Case on Epidemiologic Monitoring (pages 32-55)

Djamila Marouf, Djamila Hamdadou, Karim Bouamrane

Massive data to facilitate decision making for organizations and their corporate users exist in many forms, types and formats. Importantly, the acquisition and retrieval of relevant supporting information should be timely, precise...

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An Efficient Diagnosis System for Detection of Liver Disease Using a Novel Integrated Method Based on Principal Component Analysis and K-Nearest Neighbor (PCA-KNN) (pages 56-69)

Aman Singh, Babita Pandey

Talking about organ failure and people immediately recall kidney diseases. On the contrary, there is no such alertness about liver diseases and its failure despite the fact that this disease is one of the leading causes of mortality...

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Predicting Hypoglycemia in Diabetic Patients Using Time-Sensitive Artificial Neural Networks (pages 70-88)

Khouloud Safi Eljil, Ghassan Qadah, Michel Pasquier

Type-One Diabetes Mellitus (T1DM) is a chronic disease characterized by the elevation of glucose levels within patient's blood. It can lead to serious complications including kidney and heart diseases, stroke, and blindness. The...

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