Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Bader Aldughayfiq"'
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3280 (2024)
In this study, we introduce a novel combination of layer-static-weighted attention and ascending feature selection techniques to predict the seriousness level of adverse drug events using the Food and Drug Administration (FDA) Adverse Event Reporting
Externí odkaz:
https://doaj.org/article/725a059d0ad348fe8ed88273d8ab9a72
Publikováno v:
Diagnostics, Vol 13, Iss 14, p 2442 (2023)
Atrial fibrillation is a prevalent cardiac arrhythmia that poses significant health risks to patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and Photoplethysmogram, has gained attention due to their accessibility
Externí odkaz:
https://doaj.org/article/cda94560d1654b32adbf35f2c86a836c
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2280 (2023)
Cell counting in fluorescence microscopy is an essential task in biomedical research for analyzing cellular dynamics and studying disease progression. Traditional methods for cell counting involve manual counting or threshold-based segmentation, whic
Externí odkaz:
https://doaj.org/article/92f181c8b37f42f4872eadd287960baa
Publikováno v:
Diagnostics, Vol 13, Iss 11, p 1932 (2023)
Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt diagnosis and treatment to prevent vision loss and even death. Deep learning models have shown promising results in detecting retinoblastoma from fundus images,
Externí odkaz:
https://doaj.org/article/f8305326a6d546c480a64920afffdec8
Publikováno v:
Diagnostics; Volume 13; Issue 13; Pages: 2280
Cell counting in fluorescence microscopy is an essential task in biomedical research for analyzing cellular dynamics and studying disease progression. Traditional methods for cell counting involve manual counting or threshold-based segmentation, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::e09ea508dab8d2d71ec6243f3972be07
Publikováno v:
Healthcare; Volume 11; Issue 12; Pages: 1762
Electronic health records (EHRs) are an increasingly important source of information for healthcare professionals and researchers. However, EHRs are often fragmented, unstructured, and difficult to analyze due to the heterogeneity of the data sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::db9d829eb70ee31842fd18a2b891cafd
Publikováno v:
Healthcare; Volume 11; Issue 9; Pages: 1222
Pressure ulcers are significant healthcare concerns affecting millions of people worldwide, particularly those with limited mobility. Early detection and classification of pressure ulcers are crucial in preventing their progression and reducing assoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba1ed9e8c9eb485e2a3a50d8bdcf6fc9
https://doi.org/10.3390/healthcare11091222
https://doi.org/10.3390/healthcare11091222
Autor:
Srinivas Sampalli, Bader Aldughayfiq
Publikováno v:
OMICS : a Journal of Integrative Biology
e-Prescription systems are key components and drivers of digital health. They can enhance the safety of the patients, and are gaining popularity in health care systems around the world. Yet, there is little knowledge on comparative international anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e58b4969c928e1e69935a82dbd0d0444
https://doi.org/10.1089/omi.2020.0085
https://doi.org/10.1089/omi.2020.0085
Autor:
Bader Aldughayfiq, Srinivas Sampalli
Publikováno v:
JAMIA Open
ObjectiveTo evaluate the attitudes of the parties involved in the system toward the new features and measure the potential benefits of introducing the use of blockchain and machine learning (ML) to strengthen the in-place methods for safely prescribi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01744bb907522acccefe65b329f906e3
https://pubmed.ncbi.nlm.nih.gov/35028528
https://pubmed.ncbi.nlm.nih.gov/35028528
Autor:
Bader Aldughayfiq, Srinivas Sampalli
Publikováno v:
International Journal of Medical Informatics. 153:104509
Background Wrong medication and wrong dosage are major risks in the pharmaceutical industry, as many medication errors occur when dispensing medication. The dispensing process in its current form is limited in verifying the patient's identity before
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1229ffa30b2652d0ca00fd7e4fe494f
https://doi.org/10.1016/j.ijmedinf.2021.104509
https://doi.org/10.1016/j.ijmedinf.2021.104509