Akram Mohammed

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 4

Top Topics

Physiological Data

Subband Decomposition

Machine Learning

Top Venues

Int. J. Medical Informatics

Database J. Biol. Databases Curation

Comput. Biol. Medicine

Publications

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) (2022)
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 (2021)
Aditya Singh, Akram Mohammed, Lokesh Chinthala, Rishikesan Kamaleswaran
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients. CoRR (2020)
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 (2019)
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)