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Future of health technology

Renata G Bushko (2002)

Health technology has become the centre of healthcare systems strategic planning process. Developing a clear vision of the future of health technology and smart investment in technology are the critical success factors. Healthcare executive...

OPENALEX

First Accreditation of a Medical Informatics Program by the European Federation of Medical Informatics: Experiences

Elske Ammenwerth • Studies in health technology and informatics (2021)

BACKGROUND: European universities offer a variety of programs in Medical Informatics. The Europen Federation of Medical Informatics (EFMI) offers accreditation of these programs. OBJECTIVES: To describe the process of EFMI accreditation of ...

OPENALEX cc-by-nc DOI: https://doi.org/10.3233/shti210085

A Few Words about Medical Informatics

Siniša Franjić, Dario Galić • Journal of Biotechnology & Bioinformatics Research (2021)

Medical informatics is a scientific discipline that deals with the theory and practice of information processes in medical work, where information processes mean the coverage, transmission, storage and conversion of data. In other words, me...

OPENALEX Open Access DOI: https://doi.org/10.47363/jbbr/2021(3)136

TRANSFER LEARNING: INCEPTION-V3 BASED CUSTOM CLASSIFICATION APPROACH FOR FOOD IMAGES

Vishwanath C Burkapalli, Priyadarshini C Patil • ICTACT Journal on Image and Video Processing (2020)

Deep-learning approach has become more popular in the field of image processing. When it is concerned with health issues, there are lots of improvements in the applications of food image classification by deep learning methods. Transfer lea...

DOAJ Open Access (DOAJ) DOI: 10.21917/ijivp.2020.0321

Oh brother, where art tau? Amyloid, neurodegeneration, and cognitive decline without elevated tau

Lauren E. McCollum, Sandhitsu R. Das, Long Xie, Robin de Flores et al. • NeuroImage: Clinical (2021)

Mild cognitive impairment (MCI) can be an early manifestation of Alzheimer’s disease (AD) pathology, other pathologic entities [e.g., cerebrovascular disease, Lewy body disease, LATE (limbic-predominant age-related TDP-43 encephalopathy)], ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102717

Exploring barriers and enablers to implementing a digital mental health crisis risk mitigation pathway in acute paediatric care: A multi-site, exploratory mixed-methods study

Takawira C Marufu, Jane Coad, Zaki Albelbisi, Tim Carter et al. • Digital Health (2026)

Objective Children and young people (CYP) presenting in mental health crisis to acute paediatric settings represent a growing clinical and system-level challenge. These environments, primarily designed for physical healthcare, frequently la...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261431890

Disrupted Functional Connectivity of Cornu Ammonis Subregions in Amnestic Mild Cognitive Impairment: A Longitudinal Resting-State fMRI Study

Hui Li, Hui Li, Xiuqin Jia, Xiuqin Jia et al. • Frontiers in Human Neuroscience (2018)

Background: The cornu ammonis (CA), as part of the hippocampal formation, represents a primary target region of neural degeneration in amnestic mild cognitive impairment (aMCI). Previous studies have revealed subtle structural deficits of t...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2018.00413

Section IV: Medical Informatics

Joseph D. Bronzino, Donald R. Peterson • CRC Press eBooks (2014)

This new 4th edition of the Medical Informatics section will offer an expanded view of the topic. In addition to the traditional subject matters covered, which have been in several cases updated, new application areas have emerged both at t...

OPENALEX DOI: https://doi.org/10.1201/b15468-64

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

Medical Informatics, Artefacts or Science?

Jeremy C Wyatt • Methods of Information in Medicine (1996)

Successful and productive medical informatics research is evidently a combination of luck, creative art, and science, but some researchers focus too much on building computer artefacts and writing anecdotal reports of their experience. They...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1634665

Медицинская информатика [Medical Informatics]

B.A. Kobrinsky, T.V. Zarubina • Zenodo (CERN European Organization for Nuclear Research) (2012)

A 2009 Russian-language textbook by Boris A. Kobrinsky and Tatyana V. Zarubina on medical informatics. The book covers the principles and methods of information technology in medicine, including medical information systems, biomedical data ...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.21930521

SequelTools: a suite of tools for working with PacBio Sequel raw sequence data

David E. Hufnagel, Matthew B. Hufford, Arun S. Seetharam • BMC Bioinformatics (2020)

Abstract Background PacBio sequencing is an incredibly valuable third-generation DNA sequencing method due to very long read lengths, ability to detect methylated bases, and its real-time sequencing methodology. Yet, hitherto no tool was av...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-020-03751-8

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206