Co-Authors
This is a "connection" page, showing publications co-authored by Mohammad Moni and Julian Quinn.
Connection Strength
1.929
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Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19. Diagnostics (Basel). 2021 Jul 31; 11(8).
Score: 0.240
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TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl Based Syst. 2021 Aug 17; 226:107126.
Score: 0.236
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Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development. JMIR Med Inform. 2021 Apr 13; 9(4):e25884.
Score: 0.235
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Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Brief Bioinform. 2021 03 22; 22(2):1324-1337.
Score: 0.234
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Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. Brief Bioinform. 2021 03 22; 22(2):1387-1401.
Score: 0.234
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Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases. Brief Bioinform. 2021 03 22; 22(2):1415-1429.
Score: 0.234
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COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders. Transl Psychiatry. 2021 03 15; 11(1):160.
Score: 0.234
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A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst Appl. 2020 Dec 01; 160:113661.
Score: 0.222
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Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. Brief Bioinform. 2021 11 05; 22(6).
Score: 0.061