Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mareike Buhl"'
Publikováno v:
JMIR Human Factors, Vol 11, p e52310 (2024)
BackgroundMobile health (mHealth) solutions can improve the quality, accessibility, and equity of health services, fostering early rehabilitation. For individuals with hearing loss, mHealth apps might be designed to support the decision-making proces
Externí odkaz:
https://doaj.org/article/8ab63d8dfb2c4e08ab5603df1d839ada
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
For characterizing the complexity of hearing deficits, it is important to consider different aspects of auditory functioning in addition to the audiogram. For this purpose, extensive test batteries have been developed aiming to cover all relevant asp
Externí odkaz:
https://doaj.org/article/48b5430bac414383a1ddf51251f0621b
Autor:
Mareike Buhl, Gülce Akin, Samira Saak, Ulrich Eysholdt, Andreas Radeloff, Birger Kollmeier, Andrea Hildebrandt
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
For supporting clinical decision-making in audiology, Common Audiological Functional Parameters (CAFPAs) were suggested as an interpretable intermediate representation of audiological information taken from various diagnostic sources within a clinica
Externí odkaz:
https://doaj.org/article/180ffb55eae84003b843c55f6349e0ad
Publikováno v:
Frontiers in Digital Health, Vol 2 (2020)
The application of machine learning for the development of clinical decision-support systems in audiology provides the potential to improve the objectivity and precision of clinical experts' diagnostic decisions. However, for successful clinical appl
Externí odkaz:
https://doaj.org/article/87b488b1e2bb4c16b93cfc9b430afbac
Autor:
Mareike Buhl
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 463 (2022)
Common Audiological Functional Parameters (CAFPAs) were previously introduced as abstract, measurement-independent representation of audiological knowledge, and expert-estimated CAFPAs were shown to be applicable as an interpretable intermediate laye
Externí odkaz:
https://doaj.org/article/9b6ee0a462174132926a0f3841905c3d
Publikováno v:
Entropy, Vol 23, Iss 5, p 552 (2021)
Latent Variable Models (LVMs) are well established tools to accomplish a range of different data processing tasks. Applications exploit the ability of LVMs to identify latent data structure in order to improve data (e.g., through denoising) or to est
Externí odkaz:
https://doaj.org/article/f0b0be813a154dbea9c0b08ba8321971
IntroductionMobile health care solutions such as a Virtual Hearing Clinic (VHC) can improve quality, accessibility and equity of health services, fostering early rehabilitation for hearing loss. A VHC might be the first contact with a hearing diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c9c7bd66eb49c77b6bd7bba6f366823
https://doi.org/10.1101/2023.02.14.23285904
https://doi.org/10.1101/2023.02.14.23285904
Autor:
Anna Warzybok, Birger Kollmeier, Marc René Schädler, Mareike Buhl, Nina Wardenga, David Hülsmeier
Publikováno v:
International Journal of Audiology. 61:205-219
A model-based determination of the average supra-threshold (���distortion���) component of hearing impairment which limits the benefit of hearing aid amplification. Published speech recognition thresholds (SRTs) were predicted with the fr
Publikováno v:
International Journal of Audiology. 60:16-26
As a step towards the development of an audiological diagnostic supporting tool employing machine learning methods, this article aims at evaluating the classification performance of different audiological measures as well as Common Audiological Funct
Publikováno v:
International Journal of Audiology. 59:534-547
Objective: Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiologica