Hou, Grace Yao, Hanson, Andrew C, Schulte, Phillip J, Lal, Amos, Dong, Yue, Gajic, Ognjen, and Zhong, Xiang. A Hybrid CNN-GRU Model for Real-Time Prediction of Sepsis Clinical Trajectories in the ICU. Retrieved from https://par.nsf.gov/biblio/10631754. IEEE Robotics and Automation Letters 10.9 Web. doi:10.1109/LRA.2025.3595040.

Hou, Grace Yao, Hanson, Andrew C, Schulte, Phillip J, Lal, Amos, Dong, Yue, Gajic, Ognjen, & Zhong, Xiang. A Hybrid CNN-GRU Model for Real-Time Prediction of Sepsis Clinical Trajectories in the ICU. IEEE Robotics and Automation Letters, 10 (9). Retrieved from https://par.nsf.gov/biblio/10631754. https://doi.org/10.1109/LRA.2025.3595040

Hou, Grace Yao, Hanson, Andrew C, Schulte, Phillip J, Lal, Amos, Dong, Yue, Gajic, Ognjen, and Zhong, Xiang. "A Hybrid CNN-GRU Model for Real-Time Prediction of Sepsis Clinical Trajectories in the ICU". IEEE Robotics and Automation Letters 10 (9). Country unknown/Code not available: IEEE. https://doi.org/10.1109/LRA.2025.3595040. https://par.nsf.gov/biblio/10631754.

@article{osti_10631754,
place = {Country unknown/Code not available}, title = {A Hybrid CNN-GRU Model for Real-Time Prediction of Sepsis Clinical Trajectories in the ICU}, url = {https://par.nsf.gov/biblio/10631754}, DOI = {10.1109/LRA.2025.3595040}, abstractNote = {}, journal = {IEEE Robotics and Automation Letters}, volume = {10}, number = {9}, publisher = {IEEE}, author = {Hou, Grace Yao and Hanson, Andrew C and Schulte, Phillip J and Lal, Amos and Dong, Yue and Gajic, Ognjen and Zhong, Xiang}, }