Forthcoming articles

 


International Journal of Computers in Healthcare

 

These articles have been peer-reviewed and accepted for publication in IJCIH, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

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International Journal of Computers in Healthcare (2 papers in press)

 

Regular Issues

 

  • Towards OLAP and data warehouse systems for biomedical data and its application to immunological context   Order a copy of this article
    by Vladan Mijatovic, Antonio Vella, Riccardo Ortolani, Carlo Combi 
    Abstract: Informational load in hospital facilities keeps constantly growing and the necessity for advanced data management is becoming of crucial importance. Therefore, in the last years data warehouse systems have been employed to accommodate the need of clinical staff in data retrieving and knowledge data discovery. This is also the case in immunology context, where the attention is oriented on the study of many cell types of the lymphocytic component. Here we propose the design and the implementation of a clinical data warehouse for immunological data based on open source software. The aim of this work is to apply data warehouse methods in a clinical context for analysis of hundreds of parameters given by each exam, designing a complete data flow that will extract information starting from raw data.
    Keywords: data warehouse; OLAP; ETL; immunology; clinical analysis; data analysis; data discovery.

  • Computer Aided Detection of Imaging Biomarkers for Alzheimers Disease   Order a copy of this article
    by G. Sateesh Babu, B.S. Mahanand 
    Abstract: In this paper, we present a novel approach for the computer aided detection of imaging biomarkers responsible for Alzheimer's Disease (AD) from Magnetic Resonance Imaging (MRI) using Meta-cognitive Radial Basis Function Network (McRBFN) classifier. The McRBFN classifier uses voxel based morphometric features extracted from MRI and employs a sequential Projection Based Learning (PBL) algorithm for classification. We propose a Recursive Feature Elimination approach (called PBL-McRBFN-RFE) to identify the most relevant and meaningful imaging biomarkers for AD detection. The study has been conducted using the well-known Open Access Series of Imaging Studies data set. The brain regions identified by the PBL-McRBFN-RFE feature selection approach include hippocampus, parahippocampal gyrus, superior temporal gyrus, insula, precentral gyrus and extra nuclear, which have also been reported as critical regions in the medical literature. Further, we also conducted a study based on the age to identify the brain regions responsible for the onset of AD.
    Keywords: Alzheimer’s disease; Magnetic resonance imaging; Voxel-based morphometry; Meta-cognitive learning algorithm; Radial basis function network classifier; Recursive feature elimination.
    DOI: 10.1504/IJCIH.2018.10015645