Research output per year
Research output per year
- 10 results
Search results
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2024
Question answering systems for health professionals at the point of care-a systematic review
Kell, G., Roberts, A., Umansky, S., Qian, L., Ferrari, D., Soboczenski, F., Wallace, B. C., Patel, N. & Marshall, I. J., 3 Apr 2024, In: Journal of the american medical informatics association. 31, 4, p. 1009-1024 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
2023
In a pilot study, automated real-time systematic review updates were feasible, accurate, and work-saving
Marshall, I. J., Trikalinos, T. A., Soboczenski, F., Yun, H. S., Kell, G., Marshall, R. & Wallace, B. C., Jan 2023, In: Journal of Clinical Epidemiology. 153, p. 26-33 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Low-thrust rendezvous trajectory generation for multi-target active space debris removal using the RQ-Law
Narayanaswamy, S., Wu, B., Ludivig, P., Soboczenski, F., Venkataramani, K. & Damaren, C. J., 15 May 2023, In: ADVANCES IN SPACE RESEARCH. 71, 10, p. 4276-4287 12 p.Research output: Contribution to journal › Article › peer-review
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2022
Accurate Machine Learning Atmospheric Retrieval via a Neural Network Surrogate Model for Radiative Transfer
Himes, M. D., Harrington, J., Cobb, A. D., Baydin, A. G., Soboczenski, F., O'Beirne, M. D., Zorzan, S., Wright, D. C., Scheffer, Z., Domagal-Goldman, S. D. & Arney, G. N., 25 Apr 2022, In: The Planetary Science Journal.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
2021
State of the evidence: a survey of global disparities in clinical trials
Marshall, I. J., L'Esperance, V., Marshall, R., Thomas, J., Noel-Storr, A., Soboczenski, F., Nye, B., Nenkova, A. & Wallace, B. C., 5 Jan 2021, In: BMJ Global health. 6, 1, 9 p., e004145.Research output: Contribution to journal › Article › peer-review
Open Access -
2020
Trialstreamer: A living, automatically updated database of clinical trial reports
Marshall, I. J., Nye, B., Kuiper, J., Noel-Storr, A., Marshall, R., Maclean, R., Soboczenski, F., Nenkova, A., Thomas, J. & Wallace, B. C., 9 Dec 2020, In: Journal of the american medical informatics association. 27, 12, p. 1903-1912 10 p.Research output: Contribution to journal › Article › peer-review
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2019
Exoplanetary Atmospheric Retrieval via Bayesian Machine Learning
Himes, M., Cobb, A., Soboczenski, F., Zorzan, S., O'Beirne, M., Baydin, A. G., Gal, Y., Domagal-Goldman, S., Arney, G. N. & Angerhausen, D., 2019, In: AAS/Division for Extreme Solar Systems Abstracts. 51Research output: Contribution to journal › Article › peer-review
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Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study
Soboczenski, F., Trikalinos, T. A., Kuiper, J., Bias, R. G., Wallace, B. C. & Marshall, I. J., 8 May 2019, In: BMC medical informatics and decision making. 19, 1, p. 96Research output: Contribution to journal › Article › peer-review
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2018
NASA Frontier Development Lab: Astrobiology Team II
Himes, M. D., O’Beirne, M. D., Soboczenski, F. & Zorzan, S., 2018, In: NASA Technical Manuscripts.Research output: Contribution to journal › Article › peer-review
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2016
The Effects of Perceptual Interference on Number-Entry Errors
Soboczenski, F., Hudson, M. & Cairns, P., 1 Mar 2016, In: Interacting With Computers. 28, 2, p. 208-218 11 p.Research output: Contribution to journal › Article › peer-review