Baker, Clifton R.
United States Department of Veterans Affairs
2 papers on CoChat
Most cited papers
- Verified
A clinically applicable approach to continuous prediction of future acute kidney injury
Tomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., et al. (2019) · Nature
Machine Learning in HealthcareAcute Kidney Injury Research
Cited by 1,086
- Verified
Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study
Tomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., et al. (2019) · Research Square
Machine Learning in HealthcareAcute Kidney Injury Research
Cited by 3
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