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2020 – today
- 2022
[j4]Zeyu Liu
, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L. Davis, Rishikesan Kamaleswaran:
A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. INFORMS J. Comput. 34(4): 2039-2057 (2022)- 2021
- [j3]Zeyu Liu, Anahita Khojandi, Akram Mohammed, Xueping Li, Lokesh Chinthala, Robert L. Davis, Rishikesan Kamaleswaran:
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. Comput. Biol. Medicine 131: 104255 (2021) - 2020
- [i1]Aditya Singh, Akram Mohammed, Lokesh Chinthala, Rishikesan Kamaleswaran:
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients. CoRR abs/2009.07103 (2020)
2010 – 2019
- 2019
- [b1]Akram Mohammed:
A reference model for securing IoT. University of Geneva, Switzerland, 2019 - [j2]Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran:
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. Int. J. Medical Informatics 122: 55-62 (2019) - 2015
- [j1]Simarjeet Negi, Sanjit Pandey, Satish Mahadevan Srinivasan, Akram Mohammed, Chittibabu Guda:
LocSigDB: a database of protein localization signals. Database J. Biol. Databases Curation 2015 (2015)
Coauthor Index
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