| A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier F van Wyk, A Khojandi, A Mohammed, E Begoli, RL Davis, ... International journal of medical informatics 122, 55-62, 2019 | 68 | 2019 |
| Machine learning identifies complicated sepsis course and subsequent mortality based on 20 genes in peripheral blood immune cells at 24 H post-ICU admission S Banerjee, A Mohammed, HR Wong, N Palaniyar, R Kamaleswaran Frontiers in immunology 12, 592303, 2021 | 49 | 2021 |
| LocSigDB: a database of protein localization signals S Negi, S Pandey, SM Srinivasan, A Mohammed, C Guda Database 2015, bav003, 2015 | 45 | 2015 |
| A mechanistic computational model reveals that plasticity of CD4+ T cell differentiation is a function of cytokine composition and dosage BL Puniya, RG Todd, A Mohammed, DM Brown, M Barberis, T Helikar Frontiers in physiology 9, 339221, 2018 | 40 | 2018 |
| eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19 L Singhal, Y Garg, P Yang, A Tabaie, AI Wong, A Mohammed, L Chinthala, ... PloS one 16 (9), e0257056, 2021 | 35 | 2021 |
| Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults A Mohammed, F Van Wyk, LK Chinthala, A Khojandi, RL Davis, ... Shock, 2020 | 34 | 2020 |
| Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients A Mohammed, Y Cui, VR Mas, R Kamaleswaran Scientific Reports (Nature Publisher Group) 9, 1-7, 2019 | 28 | 2019 |
| Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism A Mohammed, C Guda BMC Genomics 16 (Suppl 7), S16, 2015 | 28 | 2015 |
| Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers A Mohammed, G Biegert, J Adamec, T Helikar Oncotarget 6, 11-20, 2017 | 26 | 2017 |
| Computational approaches for automated classification of enzyme sequences A Mohammed, C Guda Journal of proteomics & bioinformatics 4, 147, 2011 | 26 | 2011 |
| Electrocardiographic Changes Predate Parkinson’s Disease Onset O Akbilgic, R Kamaleswaran, A Mohammed, GW Ross, K Masaki, ... Scientific Reports 10 (1), 1-6, 2020 | 23 | 2020 |
| Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study A Mohammed, PSB Podila, RL Davis, KI Ataga, JS Hankins, ... Journal of Medical Internet Research 22 (5), e14693, 2020 | 13* | 2020 |
| CancerDiscover: an integrative pipeline for cancer biomarker and cancer class prediction from high-throughput sequencing data A Mohammed, G Biegert, J Adamec, T Helikar Oncotarget 9 (2), 2565, 2018 | 13* | 2018 |
| HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study Z Liu, A Khojandi, A Mohammed, X Li, LK Chinthala, RL Davis, ... Computers in biology and medicine 131, 104255, 2021 | 11* | 2021 |
| Integrative analyses of circulating small RNAs and kidney graft transcriptome in transplant glomerulopathy C Kuscu, M Kiran, A Mohammed, C Kuscu, S Satpathy, A Wolen, E Bardhi, ... International Journal of Molecular Sciences 22 (12), 6218, 2021 | 10 | 2021 |
| Whole genomic sequence analysis of Bacillus infantis: defining the genetic blueprint of strain NRRL B-14911, an emerging cardiopathogenic microbe C Massilamany, A Mohammed, JD Loy, T Purvis, B Krishnan, ... BMC genomics 17, 157-171, 2016 | 10 | 2016 |
| A machine learning–enabled partially observable Markov decision process framework for early sepsis prediction Z Liu, A Khojandi, X Li, A Mohammed, RL Davis, R Kamaleswaran INFORMS Journal on Computing 34 (4), 2039-2057, 2022 | 8 | 2022 |
| Coexpression network analysis of human candida infection reveals key modules and hub genes responsible for host-pathogen interactions S Naik, A Mohammed Frontiers in Genetics, 3353, 2022 | 6 | 2022 |
| Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital … CS Tarimo, SS Bhuyan, Y Zhao, W Ren, A Mohammed, Q Li, M Gardner, ... BMC pregnancy and childbirth 22 (1), 1-14, 2022 | 4 | 2022 |
| Consensus Gene Network Analysis Identifies the Key Similarities and Differences in Endothelial and Epithelial Cell Dynamics after Candida albicans Infection S Naik, A Mohammed International Journal of Molecular Sciences 24 (14), 11748, 2023 | 3 | 2023 |
Rishikesan KamaleswaranDuke UniversityVerified email at duke.edu
