Research output per year
Research output per year
Personal profile
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Dive into the research topics where Benjamin Mcfadden is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Considerations for Building a Data Science Culture for the Clinical Laboratory
McFadden, B. R., Mar 2025, In: Journal of Applied Laboratory Medicine. 10, 2, p. 505-509 5 p.Research output: Contribution to journal › Editorial › peer-review
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach
Mukhtar, S. A., McFadden, B. R., Islam, M. T., Zhang, Q. Y., Alvandi, E., Blatchford, P., Maybury, S., Blakey, J., Yeoh, P. & McMullen, B. C., May 2025, In: Health Information Management Journal. 54, 2, p. 109-120 12 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Sepsis in silico: definition, development and application of an electronic phenotype for sepsis
Al-Sultani, Z., Inglis, T. J. J., McFadden, B., Thomas, E. & Reynolds, M., 28 Mar 2025, (E-pub ahead of print) In: Journal of Medical Microbiology. 74, 3, p. 1-11 11 p., 001986.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Developing machine learning systems worthy of trust for infection science: a requirement for future implementation into clinical practice
McFadden, B. R., Reynolds, M. & Inglis, T. J. J., 2023, In: Frontiers in Digital Health. 5, 1260602.Research output: Contribution to journal › Review article › peer-review
Open Access7 Citations (Scopus) -
Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
McFadden, B. R., Inglis, T. J. J. & Reynolds, M., Dec 2023, In: BMC Infectious Diseases. 23, 1, 552.Research output: Contribution to journal › Article › peer-review
Open Access14 Citations (Scopus)
Datasets
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Additional file 2 of Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
McFadden, B. R. (Creator), Inglis, T. (Creator) & Reynolds, M. (Creator), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.26612528.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine_learning_pipeline_for_blood_culture_outcome_prediction_using_Sysmex_XN-2000_blood_sample_results_in_Western_Australia/26612528/1
Dataset
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Additional file 2 of Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
McFadden, B. R. (Creator), Inglis, T. (Creator) & Reynolds, M. (Creator), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.26612528, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine_learning_pipeline_for_blood_culture_outcome_prediction_using_Sysmex_XN-2000_blood_sample_results_in_Western_Australia/26612528
Dataset
Projects
- 1 Finished
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Western Australia-driven COVID-19 countermeasures
Inglis, T. (Investigator 01), Carson, C. (Investigator 02), Paton, T. (Investigator 03), Kopczyk, M. (Investigator 04), Mulroney, K. (Investigator 05), Mcfadden, B. (Investigator 06), Celenza, A. (Investigator 07), Smith, D. (Investigator 08) & Scalley, B. (Investigator 09)
Department of Health (Western Australia)
1/03/21 → 28/02/22
Project: Research