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Full-Text Articles in Medicine and Health Sciences
Decoding Clinical Biomarker Space Of Covid-19: Exploring Matrix Factorization-Based Feature Selection Methods, Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, Mohammad Rezaei-Ravari, Kamal Berahmand, Mehrdad Rostami, Saeed Karami, Mohammad Najafzadeh, Davood Hajinezhad, Mina Jamshidi, Farshid Abedi, Mahtab Mohammadifard, Elnaz Farbod, Farinaz Safavi, Mohammadreza Dorvash, Shahrzad Vahedi, Mahdi Eftekhari, Farid Saberi-Movahed, Iman Tavassoly
Decoding Clinical Biomarker Space Of Covid-19: Exploring Matrix Factorization-Based Feature Selection Methods, Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, Mohammad Rezaei-Ravari, Kamal Berahmand, Mehrdad Rostami, Saeed Karami, Mohammad Najafzadeh, Davood Hajinezhad, Mina Jamshidi, Farshid Abedi, Mahtab Mohammadifard, Elnaz Farbod, Farinaz Safavi, Mohammadreza Dorvash, Shahrzad Vahedi, Mahdi Eftekhari, Farid Saberi-Movahed, Iman Tavassoly
Publications and Research
One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients’ characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 …
Outcomes In Patients With Covid-19 Disease And High Oxygen Requirements, Geurys Rojas-Marte, Arsalan Talib Hashmi, Mazin Khalid, Nnamdi Chukwuka, Joshua Fogel, Alejandro Munoz-Martinez, Samantha Ehrlich, Maham Akbar Waheed, Dikshya Sharma, Shaurya Sharma, Awais Aslam, Sabah Siddiqui, Chirag Agarwal, Yuri Malyshev, Carlos Henriquez-Felipe, Jacob Shani
Outcomes In Patients With Covid-19 Disease And High Oxygen Requirements, Geurys Rojas-Marte, Arsalan Talib Hashmi, Mazin Khalid, Nnamdi Chukwuka, Joshua Fogel, Alejandro Munoz-Martinez, Samantha Ehrlich, Maham Akbar Waheed, Dikshya Sharma, Shaurya Sharma, Awais Aslam, Sabah Siddiqui, Chirag Agarwal, Yuri Malyshev, Carlos Henriquez-Felipe, Jacob Shani
Publications and Research
Background: Approximately 19% of people infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) progress to severe or critical stages of the coronavirus disease 2019 (COVID-19) with a mortality rate exceeding 50%. We aimed to examine the char- acteristics, mortality rates, intubation rate, and length of stay (LOS) of patients hospitalized with COVID-19 disease with high oxygen re- quirements (critically ill).
Methods: We conducted a retrospective analysis in a single center in Brooklyn, New York. Adult hospitalized patients with confirmed COVID-19 disease and high oxygen requirements were included. We performed multivariate logistic regression analyses for statistically significant variables to …