Journal of Medical Systems

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ISSN / EISSN : 0148-5598 / 1573-689X
Published by: Springer Nature (10.1007)
Total articles ≅ 4,090
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Latest articles in this journal

Eliana Alejandra Jiménez-Chala, Carlos Durantez-Fernández, , Alicia Mohedano-Moriano, Francisco Martín-Rodríguez, Begoña Polonio-López
Published: 22 October 2022
Journal of Medical Systems, Volume 46, pp 1-10; https://doi.org/10.1007/s10916-022-01876-2

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, Emiliano Mancini, Thomas Attema, Mark Abspoel, Jan de Gier, Serge Fehr, Thijs Veugen, Maran van Heesch, Daniël Worm, Andrea De Luca, et al.
Published: 20 October 2022
Journal of Medical Systems, Volume 46, pp 1-11; https://doi.org/10.1007/s10916-022-01851-x

Abstract:
Background: HIV treatment prescription is a complex process. Clinical decision support systems (CDSS) are a category of health information technologies that can assist clinicians to choose optimal treatments based on clinical trials and expert knowledge. The usability of some CDSSs for HIV treatment would be significantly improved by using the knowledge obtained by treating other patients. This knowledge, however, is mainly contained in patient records, whose usage is restricted due to privacy and confidentiality constraints. Methods: A treatment effectiveness measure, containing valuable information for HIV treatment prescription, was defined and a method to extract this measure from patient records was developed. This method uses an advanced cryptographic technology, known as secure Multiparty Computation (henceforth referred to as MPC), to preserve the privacy of the patient records and the confidentiality of the clinicians’ decisions. Findings: Our solution enables to compute an effectiveness measure of an HIV treatment, the average time-to-treatment-failure, while preserving privacy. Experimental results show that our solution, although at proof-of-concept stage, has good efficiency and provides a result to a query within 24 min for a dataset of realistic size. Interpretation: This paper presents a novel and efficient approach HIV clinical decision support systems, that harnesses the potential and insights acquired from treatment data, while preserving the privacy of patient records and the confidentiality of clinician decisions.
, Mohh Gupta, Ayush Sangari,
Published: 20 October 2022
Journal of Medical Systems, Volume 46, pp 1-8; https://doi.org/10.1007/s10916-022-01869-1

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, Pamela Butler, Karen McCarthy,
Published: 14 October 2022
Journal of Medical Systems, Volume 46, pp 1-5; https://doi.org/10.1007/s10916-022-01873-5

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Yoshiharu Yamanobe, , Masanao Ohashi, Hiroyuki Ozawa
Published: 11 October 2022
Journal of Medical Systems, Volume 46, pp 1-9; https://doi.org/10.1007/s10916-022-01874-4

Abstract:
Many studies have reported the use of wearable devices to acquire biological data for the diagnosis and treatment of various diseases. Balance dysfunction, however, is difficult to evaluate in real time because the equilibrium function is conventionally examined using a stabilometer installed on the ground. Here, we used a wearable accelerometer that measures head motion to evaluate balance and examined whether it performs comparably to a conventional stabilometer. We constructed a simplified physical head-feet model that simultaneously records “head” motion measured using an attached wearable accelerometer and center-of-gravity motion at the “feet”, which is measured using an attached stabilometer. Total trajectory length (r = 0.818, p -false discovery rate [FDR] = 0.004) and outer peripheral area (r = 0.691, p -FDR = 0.026) values measured using the wearable device and stabilometer were significantly positively correlated. Root mean square area values were not significantly correlated with wearable device stabilometry but were comparable. These results indicate that wearable, widely available, non-medical devices may be used to assess balance outside the hospital setting, and new approaches for testing balance function should be considered.
, Eduardo Pinho, Rui Jesus, Luís Bastião, Carlos Costa
Published: 6 October 2022
Journal of Medical Systems, Volume 46, pp 1-18; https://doi.org/10.1007/s10916-022-01867-3

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