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Understanding Design Tradeoffs for Health Technologies

Katie O’Leary, Jordan Eschler, Logan Kendall, Lisa M. Vizer et al. • CHI Conference on Human Factors in Computing Systems (2015)

We introduce a mixed-methods approach for determining how people weigh tradeoffs in values related to health and technologies for health self-management. Our approach combines interviews with Q-methodology, a method from psychology uniquely...

OPENALEX Open Access DOI: https://doi.org/10.1145/2702123.2702576 PMC: 5554065

Geometric nonlinear analysis of Timoshenko beams with variable cross-section using co-rotational formulation

X. Guo, X. Guo, X. Guo, H. Feng et al. • Wind Energy Science (2026)

The geometrically nonlinear analysis of Timoshenko beams with variable cross-sections remains a challenging task in engineering practice, particularly for structures subjected to large deformations. While co-rotational (CR) formulations hav...

DOAJ Open Access (DOAJ) DOI: 10.5194/wes-11-3137-2026

The effectiveness of M-health technologies for improving health and health services: a systematic review protocol

Caroline Free, Gemma Phillips, Lambert M. Felix, Leandro Galli et al. • BMC Research Notes (2010)

BACKGROUND: The application of mobile computing and communication technology is rapidly expanding in the fields of health care and public health. This systematic review will summarise the evidence for the effectiveness of mobile technology ...

OPENALEX cc-by DOI: https://doi.org/10.1186/1756-0500-3-250 PMC: 2976743

Preparation and evaluation of mushroom (Lentinus edodes) and mealworm (Tenebrio molitor) as dog food attractant

Tao Feng, Zhongshan Hu, Yanzun Tong, Lingyun Yao et al. • Heliyon (2020)

Chicken liver is a main protein source to prepare attractant for dog food. However, animal proteins are costly. Seeking high quality and low-cost protein sources has been a goal for the industry. Mushroom Lentinus edodes (L. edodes) and Mea...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2020.e05302

Designing mobile health technology for bipolar disorder

Jakob E. Bardram, Mads M. Frost, Károly Szántó, Maria Faurholt‐Jepsen et al. • CHI Conference on Human Factors in Computing Systems (2013)

An increasing number of pervasive healthcare systems are being designed, that allow people to monitor and get feedback on their health and wellness. To address the challenges of self-management of mental illnesses, we have developed the MON...

OPENALEX DOI: https://doi.org/10.1145/2470654.2481364

Health Technologies 'In the Wild'

Stefan Rennick‐Egglestone, Sarah E. Knowles, Gill R. Toms, Penny Bee et al. • CHI Conference on Human Factors in Computing Systems (2016)

The widespread deployment of technology by professional health services will provide a substantial opportunity for studies that consider usage in naturalistic settings. Our study has documented experiences of engaging with technologies inte...

OPENALEX Open Access DOI: https://doi.org/10.1145/2858036.2858128

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

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

EPEPT: A web service for enhanced P-value estimation in permutation tests

Knijnenburg Theo A, Lin Jake, Rovira Hector, Boyle John et al. • BMC Bioinformatics (2011)

Abstract Background In computational biology, permutation tests have become a widely used tool to assess the statistical significance of an event under investigation. However, the common way of computing the P-value, which expresses the sta...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-12-411

Quantum computing in medical informatics

Kavita Khare, Zainab Aizaz, Nilay Khare • CRC Press eBooks (2025)

In an era of exponential technological advancements, the integration of quantum computing (QC) and medical informatics emerges as a captivating frontier, promising to unlock a new realm of possibilities for healthcare. QC, harnessing the pr...

OPENALEX DOI: https://doi.org/10.1201/9781003503033-10

(Bio)Medical Informatics in the Next Decade

Thomas C. Rindfleisch • Journal of the American Medical Informatics Association (1998)

Even though medical informatics is most often viewed from the perspective of its host disciplines in clinical and biologic medicine, it has an identity and agenda of its own. This paper is an attempt to promote discussion about the long-ter...

OPENALEX Open Access DOI: https://doi.org/10.1136/jamia.1998.0050416 PMC: 61322

Identifying Applied Aspects, Medical Fields, and Technological Trends in Developing Future Entrepreneurial Opportunities in Telemedicine

Ali Mobini-Dehkordi, Jahangir Yadolai-Farsi, Abolghasem Arabiun, Mustafa Keshavarz-Turk • مدیریت اطلاعات سلامت (2021)

Introduction: Parallel with the growth of technologies, which affect the telemedicine, timely identification of telemedicine entrepreneurial opportunities seems to be necessary for the product development. This study aimed to identify appli...

DOAJ Open Access (DOAJ) DOI: 10.22122/him.v17i6.4230

A career in medical informatics

Mohammad Al‐Ubaydli • BMJ (2002)

Mohammad Al-Ubaydli explains how to have a career in medical informatics1 If you want to understand why I love technology, take a look at my hearing aid. Just before starting my house job, my nightmare scenario was of being deafened by the...

OPENALEX DOI: https://doi.org/10.1136/sbmj.0208279

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Theory, Abstraction and Design in Medical Informatics

F. Martín, J Crespo, Holger Billhardt, Víctor Maojo • Methods of Information in Medicine (2002)

OBJECTIVE: To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for ...

OPENALEX Open Access DOI: https://doi.org/10.1055/s-0038-1634312

Structural relationships within medical informatics

Theodore Allan Morris, Katherine Wootton McCain (2001)

Medical informatics is the application of information science and information technology to the theoretical and practical problems of biomedical research, clinical practice, and medical education. Although it is broadly interdisciplinary, i...

OPENALEX public-domain DOI: https://doi.org/10.17918/00009917 PMC: 2243843

Artificial Intelligence And Medical Informatics

Bruce I. Blum • Journal of Clinical Engineering (1985)

This review considers the role of artificial intelligence (AI) in medical informatics. It begins by describing artificial intelligence and then places it in the context of medical computing. Knowledge processing is emphasized. Following a b...

OPENALEX DOI: https://doi.org/10.1097/00004669-198504000-00004