Jeffrey J Hsu
Biographic Data
| ID | 230606 |
|---|---|
| NAME | Jeffrey J Hsu |
| GIVEN NAMES | Jeffrey J |
| FAMILY NAME | Hsu |
| SIGNATURE | HSU J J |
| AFFILIATIONS | VA Greater Los Angeles Healthcare System |
| ORCID | 0000-0002-9971-5916 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Racial and Ethnic Disparities and the National Burden of Covid-19 on Inpatient Hospitalizations: A Retrospective Study in the United States in the Year 2020
Background Since January 2020, COVID-19 has affected more than 100 million people in the U.S. Previous studies on racial and ethnic disparities related to characteristics and outcomes of COVID-19 patients have been insightful. However, appropriate epidemiologic age-standardization of the disease burden and disparities for hospitalization data are lacking. Objective To identify and describe racial and ethnic disparities for primary COVID-19 hospit…
Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden
Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making pr…
Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden
Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making pr…
Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden
Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making pr…
Racial and Ethnic Disparities and the National Burden of Covid-19 on Inpatient Hospitalizations: A Retrospective Study in the United States in the Year 2020
Background Since January 2020, COVID-19 has affected more than 100 million people in the U.S. Previous studies on racial and ethnic disparities related to characteristics and outcomes of COVID-19 patients have been insightful. However, appropriate epidemiologic age-standardization of the disease burden and disparities for hospitalization data are lacking. Objective To identify and describe racial and ethnic disparities for primary COVID-19 hospit…
Medicine (2 works) · Analytics (1 works) · Athletes (1 works) · Big data (1 works) · Cardiovascular Effects of Exercise (1 works) · Computer Science (1 works) · COVID-19 and healthcare impacts (1 works) · COVID-19 Clinical Research Studies (1 works) · Data mining (1 works) · Data science (1 works)