Many of his studies involve connections with topics such as Confidence interval, Comorbidity, Disease, Predictive value and Charlson comorbidity index and Internal medicine. ICD-10 combines with fields such as Psychiatry and Diagnosis code in his investigation. Hude Quan applies his multidisciplinary studies on Psychiatry and ICD-10 in his research. Hude Quan conducted interdisciplinary study in his works that combined Environmental health and Public health. Hude Quan incorporates Public health and Environmental health in his research. Many of his studies on Population apply to Demography as well. His Demography study frequently draws connections to adjacent fields such as Population. Hude Quan carries out multidisciplinary research, doing studies in Statistics and Coding (social sciences). Hude Quan merges Coding (social sciences) with Statistics in his research.
Hude Quan applies the principles of Confidence interval, Odds ratio, Logistic regression, Cohort, Heart failure, Comorbidity and Myocardial infarction in his work under Internal medicine. His study connects Diagnosis code and Environmental health. His research links Environmental health with Diagnosis code. His study connects Demography and Population. His Demography study frequently links to adjacent areas such as Population. In his work, he performs multidisciplinary research in Health care and Economic growth. In his works, he undertakes multidisciplinary study on Economic growth and Health care. Nursing and Family medicine are two areas of study in which he engages in interdisciplinary research. Hude Quan connects Family medicine with Nursing in his study.
In his papers, Hude Quan integrates diverse fields, such as Statistics, Data collection and Coding (social sciences). He integrates many fields in his works, including Coding (social sciences) and Statistics. His Intensive care medicine study frequently involves adjacent topics like Intensive care unit and Intensive care. In most of his Intensive care studies, his work intersects topics such as Intensive care medicine. Among his research on Cohort study, you can see a combination of other fields of science like Retrospective cohort study and Cohort. He merges Cohort with Cohort study in his research. Internal medicine and Disease are commonly linked in his work. Hude Quan connects Nursing with Family medicine in his study. He incorporates Family medicine and Medical education in his studies.
Much of his study explores Statistics relationship to Coding (social sciences) and Data collection. He brings together Coding (social sciences) and Statistics to produce work in his papers. Many of his studies on Internal medicine apply to Meta-analysis as well. His Nursing study frequently draws connections to other fields, such as ICD-10. He conducts interdisciplinary study in the fields of Disease and Pathology through his research. Many of his studies on Pathology apply to Guideline as well. His Incidence (geometry) study frequently draws connections between adjacent fields such as Optics. Optics and Incidence (geometry) are commonly linked in his work. While working in this field, he studies both Pediatrics and Emergency medicine.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.
Hude Quan;Vijaya Sundararajan;Patricia Halfon;Andrew Fong.
Medical Care (2005)
Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries
Hude Quan;Bing Li;Chantal M. Couris;Kiyohide Fushimi.
American Journal of Epidemiology (2011)
New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality
Vijaya Sundararajan;Toni Henderson;Catherine L. Perry;Amanda Muggivan.
Journal of Clinical Epidemiology (2004)
A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data.
Carl van Walraven;Peter C. Austin;Alison Jennings;Hude Quan.
Medical Care (2009)
Assessing Validity of ICD-9-CM and ICD-10 Administrative Data in Recording Clinical Conditions in a Unique Dually Coded Database
Hude Quan;Bing Li;L Duncan Saunders;Gerry A Parsons.
Health Services Research (2008)
Dealing with missing data in a multi-question depression scale: a comparison of imputation methods
Fiona M Shrive;Fiona M Shrive;Heather Stuart;Heather Stuart;Hude Quan;Hude Quan;William A Ghali.
BMC Medical Research Methodology (2006)
Exploring physician specialist response rates to web-based surveys
Ceara Tess Cunningham;Hude Quan;Brenda R. Hemmelgarn;Tom W. Noseworthy.
BMC Medical Research Methodology (2015)
Validity of information on comorbidity derived rom ICD-9-CCM administrative data.
Hude Quan;Gerry A Parsons;William A Ghali.
Medical Care (2002)
Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data.
Danielle A Southern;Hude Quan;William A Ghali.
Medical Care (2004)
Adapting the charlson comorbidity index for use in patients with ESRD
Brenda R Hemmelgarn;Braden J Manns;Hude Quan;William A Ghali.
American Journal of Kidney Diseases (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Calgary
University of Calgary
University of Alberta
Icahn School of Medicine at Mount Sinai
University of Calgary
University of Calgary
University of Calgary
University of California, Davis
University of Calgary
University of Calgary
University of Toronto
Shenzhen Institutes of Advanced Technology
Imperial College London
Queen's University
Beijing Jiaotong University
Howard Hughes Medical Institute
National Institute of Geophysics and Volcanology
Met Office
United States Geological Survey
Vanderbilt University Medical Center
University of Milan
University of Cambridge
Ghent University
University of California, Berkeley
Peking University
Cornell University