Mohammed A - Search Results

1

GSDMB/ORMDL3 Rare/Common Variants Are Associated with Inhaled Corticosteroid Response among Children with Asthma.

Voorhies K, Mohammed A, Chinthala L, Kong SW, Lee IH, Kho AT, McGeachie M, Mandl KD, Raby B, Hayes M, Davis RL, Wu AC, Lutz SM. Voorhies K, et al. Among authors: mohammed a. Genes (Basel). 2024 Mar 28;15(4):420. doi: 10.3390/genes15040420. Genes (Basel). 2024. PMID: 38674355 Free PMC article.

2

Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults.

Mohammed A, Van Wyk F, Chinthala LK, Khojandi A, Davis RL, Coopersmith CM, Kamaleswaran R. Mohammed A, et al. Shock. 2021 Jul 1;56(1):58-64. doi: 10.1097/SHK.0000000000001670. Shock. 2021. PMID: 32991797 Free PMC article.

3

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.

Liu Z, Khojandi A, Mohammed A, Li X, Chinthala LK, Davis RL, Kamaleswaran R. Liu Z, et al. Among authors: mohammed a. Comput Biol Med. 2021 Apr;131:104255. doi: 10.1016/j.compbiomed.2021.104255. Epub 2021 Feb 17. Comput Biol Med. 2021. PMID: 33639353

4

Features derived from blood pressure and intracranial pressure predict elevated intracranial pressure events in critically ill children.

Ackerman K, Mohammed A, Chinthala L, Davis RL, Kamaleswaran R, Shafi NI. Ackerman K, et al. Among authors: mohammed a. Sci Rep. 2022 Dec 12;12(1):21473. doi: 10.1038/s41598-022-25169-3. Sci Rep. 2022. PMID: 36509794 Free PMC article.

5

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.

Singhal L, Garg Y, Yang P, Tabaie A, Wong AI, Mohammed A, Chinthala L, Kadaria D, Sodhi A, Holder AL, Esper A, Blum JM, Davis RL, Clifford GD, Martin GS, Kamaleswaran R. Singhal L, et al. Among authors: mohammed a. PLoS One. 2021 Sep 24;16(9):e0257056. doi: 10.1371/journal.pone.0257056. eCollection 2021. PLoS One. 2021. PMID: 34559819 Free PMC article. Clinical Trial.

6

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

van Wyk F, Khojandi A, Mohammed A, Begoli E, Davis RL, Kamaleswaran R. van Wyk F, et al. Among authors: mohammed a. Int J Med Inform. 2019 Feb;122:55-62. doi: 10.1016/j.ijmedinf.2018.12.002. Epub 2018 Dec 10. Int J Med Inform. 2019. PMID: 30623784

7

Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study.

Mohammed A, Podila PSB, Davis RL, Ataga KI, Hankins JS, Kamaleswaran R. Mohammed A, et al. J Med Internet Res. 2020 May 13;22(5):e14693. doi: 10.2196/14693. J Med Internet Res. 2020. PMID: 32401216 Free PMC article.

8

Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease.

Zahr RS, Mohammed A, Naik S, Faradji D, Ataga KI, Lebensburger J, Davis RL. Zahr RS, et al. Among authors: mohammed a. Am J Nephrol. 2024;55(1):18-24. doi: 10.1159/000534864. Epub 2023 Oct 31. Am J Nephrol. 2024. PMID: 37906980

9

Electrocardiographic changes predate Parkinson's disease onset.

Akbilgic O, Kamaleswaran R, Mohammed A, Ross GW, Masaki K, Petrovitch H, Tanner CM, Davis RL, Goldman SM. Akbilgic O, et al. Among authors: mohammed a. Sci Rep. 2020 Jul 9;10(1):11319. doi: 10.1038/s41598-020-68241-6. Sci Rep. 2020. PMID: 32647196 Free PMC article.

10

Consensus Gene Network Analysis Identifies the Key Similarities and Differences in Endothelial and Epithelial Cell Dynamics after Candida albicans Infection.

Naik S, Mohammed A. Naik S, et al. Among authors: mohammed a. Int J Mol Sci. 2023 Jul 21;24(14):11748. doi: 10.3390/ijms241411748. Int J Mol Sci. 2023. PMID: 37511508 Free PMC article.

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