Manbir Singh
- COVID-19 Clinical Research Studies
- COVID-19 diagnosis using AI
- COVID-19 and healthcare impacts
- Machine Learning in Healthcare
- Long-Term Effects of COVID-19
- Politics and Conflicts in Afghanistan, Pakistan, and Middle East
- Acute Kidney Injury Research
- Belt and Road Initiative
- Sepsis Diagnosis and Treatment
- Muscle and Compartmental Disorders
- Global Trade and Competitiveness
- Global trade and economics
- COVID-19 Pandemic Impacts
Kardan University
2021
Hasso Plattner Institute
2020
Digital Health Cooperative Research Centre
2020
Icahn School of Medicine at Mount Sinai
2020
Calorx Teachers' University
2020
Background COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The pandemic necessitated thoughtful resource allocation early identification high-risk patients. However, effective methods to meet these needs are lacking. Objective aims this study were analyze the electronic health records (EHRs) patients who tested positive admitted hospitals in Mount Sinai Health System New York City; develop machine learning models making...
ABSTRACT Background The coronavirus 2019 (Covid-19) pandemic is a global public health crisis, with over 1.6 million cases and 95,000 deaths worldwide. Data are needed regarding the clinical course of hospitalized patients, particularly in United States. Methods Demographic, clinical, outcomes data for patients admitted to five Mount Sinai Health System hospitals confirmed Covid-19 between February 27 April 2, 2020 were identified through institutional electronic records. We conducted...
ABSTRACT Importance Preliminary reports indicate that acute kidney injury (AKI) is common in coronavirus disease (COVID)-19 patients and associated with worse outcomes. AKI hospitalized COVID-19 the United States not well-described. Objective To provide information about frequency, outcomes recovery dialysis patients. Design Observational, retrospective study. Setting Admitted to hospital between February 27 April 15, 2020. Participants P atients aged ≥18 years laboratory confirmed Exposures...
The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in USA. We aimed to compare characteristic patients who had in-hospital mortality those were discharged alive.Demographic, outcomes data for admitted five Mount Sinai Health System hospitals confirmed between 27 February 2 April 2020 identified through institutional electronic records. performed...
Abstract Coronavirus 2019 (COVID-19), caused by the SARS-CoV-2 virus, has become deadliest pandemic in modern history, reaching nearly every country worldwide and overwhelming healthcare institutions. As of April 20, there have been more than 2.4 million confirmed cases with over 160,000 deaths. Extreme case surges coupled challenges forecasting clinical course affected patients necessitated thoughtful resource allocation early identification high-risk patients. However, effective methods...
<sec> <title>BACKGROUND</title> COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The pandemic necessitated thoughtful resource allocation early identification high-risk patients. However, effective methods to meet these needs are lacking. </sec> <title>OBJECTIVE</title> aims this study were analyze the electronic health records (EHRs) patients who tested positive admitted hospitals in Mount Sinai Health System New York City;...
The coronavirus epidemic, which was first perceived in China, has infected people 185 countries across the world.Outbreak of corona virus caused various restrictions on exports were imposed by 95 countries.The main aim this study is to find out effect COVID-19 international trade SAARC economies with prime focus Afghanistan.As world merchandise volume decreased 1.2% fourth quarter 2020.The export growth -1.0% case North America and for Asia -2.2%.The forecasted GDP rate 2020 -4.5% 3.0%...