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International Journal of Functional Informatics and Personalised Medicine is a peer-reviewed journal published by Inderscience, covering Machine Learning in Bioinformatics, Biomedical Text Mining and Ontologies, Traditional Chinese Medicine Studies.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Functional Informatics and Personalised Medicine, 12(3), pp. 45–58.
Formats any DOI in International Journal of Functional Informatics and Personalised Medicine style. No sign-up. |
| Publishes research in | Machine Learning in Bioinformatics Biomedical Text Mining and Ontologies Traditional Chinese Medicine Studies Gene expression and cancer classification Bioinformatics and Genomic Networks |
| ISSN | 1756-2104 |
| h-index | 11 |
| i10-index | 14 |
| Total citations | 462 |
| Top institutions publishing here | Southern Illinois University Carbondale |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In many areas of practice and research, clinical observations are recorded on data collection forms by asking and answering questions, yet without being represented in accepted terminology standards these results cannot be easily shared among clinical care and research systems. LOINC contains a well-developed model for representing variables, answer lists, and the collections that contain…
Limited-view acquisition suffers from artefacts and loss of resolution for reconstruction-based Photoacoustic Imaging (PAI). In this paper, a completely new acquisition and reconstruction scheme is reported to achieve artefact-free imaging from limited-view acquisition. The method employs spatially and temporally varying random optical illumination instead of the uniform illumination used in conventional PAI methods. Compressed Sensing…
Personalised modelling aims to create a unique computational diagnostic or prognostic model for an individual. The paper reports a new Integrated Method for Personalised Modelling (IMPM) that applies global optimisation of variables (features) and neighbourhood of appropriate data samples to create an accurate personalised model for an individual. The proposed IMPM allows for adaptation, monitoring…
Diagnosing diseases through observing the personal face is the Traditional Chinese Medicine (TCM), which is a unique diagnostic method. Clinical experiences in TCM have proved that facial complexion can tell whether the one is healthy. A novel Computer-Aided Disease Diagnosis System (CADDS), acquiring the facial complexion information based on analysing image captured by digital camera,…
Traditional Chinese Medicine (TCM) has a long history and has been recognised as a popular alternative medicine in western countries. Tongue diagnosis is a significant procedure in computer–aided TCM, where tongue image analysis plays a dominant role. In this paper, we propose a fully automatic tongue detection and segmentation framework that includes a Principal Component…
