Research output per year
Research output per year
- 10 results
Search results
-
2024
Challenges and opportunities of deep learning for wearable-based objective sleep assessment
Zhai, B., Elder, G. J. & Godfrey, A., 4 Apr 2024, In: npj Digital Medicine. 7, 1, p. 1-3 3 p., 85.Research output: Contribution to journal › Editorial › peer-review
Open AccessFile1 Citation (Scopus)14 Downloads (Pure) -
Enhancing Cardiovascular Risk Prediction: Development of an Advanced Xgboost Model with Hospital-Level Random Effects
Dong, T., Oronti, I. B., Sinha, S., Freitas, A., Zhai, B., Chan, J., Fudulu, D. P., Caputo, M. & Angelini, G. D., 18 Oct 2024, In: Bioengineering. 11, 10, 17 p., 1039.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis
Dong, T., Sinha, S., Zhai, B., Fudulu, D., Chan, J., Narayan, P., Judge, A., Caputo, M., Dimagli, A., Benedetto, U. & Angelini, G. D., 12 Jun 2024, In: JMIRx med. 5, p. 1-20 20 p., e45973.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
2023
Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study
Dong, T., Sinha, S., Zhai, B., Fudulu, D. P., Chan, J., Narayan, P., Judge, A., Caputo, M., Dimagli, A., Benedetto, U. & Angelini, G. D., 2023, In: Digital Health. 9, p. 1-20 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus) -
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
Shao, S., Guan, Y., Zhai, B., Missier, P. & Plötz, T., 12 Jun 2023, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7, 2, p. 1-21 21 p., 75.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile5 Citations (Scopus)23 Downloads (Pure) -
Development and Evaluation of a Natural Language Processing System for Curating a Trans-Thoracic Echocardiogram (TTE) Database
Dong, T., Sunderland, N., Nightingale, A., Fudulu, D. P., Chan, J., Zhai, B., Freitas, A., Caputo, M., Dimagli, A., Mires, S., Wyatt, M., Benedetto, U. & Angelini, G. D., 10 Nov 2023, In: Bioengineering. 10, 11, 20 p., 1307.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)39 Downloads (Pure) -
Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification
Wang, Y., Liang, H. & Zhai, B., 26 May 2023, ICBBT '23: Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology: May 26–28, 2023, Xi’an, China.. New York, NY, USA: ACM, p. 149–155 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile1 Citation (Scopus)33 Downloads (Pure) -
2021
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
Zhai, B., Guan, Y., Catt, M. & Ploetz, T., 27 Dec 2021, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5, 4, p. 1-33 33 p., 191.Research output: Contribution to journal › Conference article › peer-review
11 Citations (Scopus) -
2020
Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing
Zhai, B., 15 Jun 2020.Research output: Contribution to conference › Paper › peer-review
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The future of sleep health: a data-driven revolution in sleep science and medicine
Zhai, B., 23 Mar 2020.Research output: Contribution to conference › Paper › peer-review