Qingnan Yang

ORCID: 0000-0002-7125-9867
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About
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Research Areas
  • Opioid Use Disorder Treatment
  • Emergency and Acute Care Studies
  • Neonatal and Maternal Infections
  • Cardiac Arrest and Resuscitation
  • Poisoning and overdose treatments
  • Infectious Diseases and Tuberculosis
  • Geriatric Care and Nursing Homes
  • Pharmaceutical Practices and Patient Outcomes
  • Blood Pressure and Hypertension Studies
  • Artificial Intelligence in Healthcare
  • Frailty in Older Adults
  • Pneumonia and Respiratory Infections
  • Neonatal Health and Biochemistry
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Antifungal resistance and susceptibility
  • HIV, Drug Use, Sexual Risk
  • Statistical Methods in Clinical Trials
  • COVID-19 and Mental Health
  • Lipid metabolism and disorders
  • Cancer, Lipids, and Metabolism
  • Meta-analysis and systematic reviews
  • Streptococcal Infections and Treatments
  • Pain Management and Opioid Use
  • Artificial Intelligence in Healthcare and Education
  • Tuberculosis Research and Epidemiology

University of Pittsburgh
2020-2023

University of Minnesota
2019

XinHua Hospital
2015-2016

Shanghai Jiao Tong University
2015-2016

Liaocheng People's Hospital
2016

Taishan Medical University
2016

Drug overdose deaths, including those due to prescription opioids, represent a critical public health issue in the United States and worldwide. Artificial intelligence (AI) approaches have been developed deployed help prescribers assess patient's risk for overdose-related death, but it is unknown whether experts can leverage similar predictions make local resource allocation decisions more effectively. In this work, we evaluated how AI-based assessment could be used inform using working...

10.1145/3711072 preprint EN arXiv (Cornell University) 2025-02-14

Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve accuracy of a machine-learning algorithm predict opioid overdose by integrating human services and criminal justice with health claims determinants risk. prognostic included Medicaid beneficiaries (n = 237,259) in Allegheny County, Pennsylvania enrolled between 2015 2018, randomly divided into training, testing, validation samples. We measured 290 potential predictors (239 derived...

10.1371/journal.pone.0248360 article EN public-domain PLoS ONE 2021-03-18

To test the effectiveness of a multicomponent care transition intervention targeted at hospitalized patients, aged 75 years and older, high risk for hospital readmissions, return emergency department (ED) visits, related complications.Implementation as quality improvement program with propensity-matched preintervention concurrent comparison groups over 12-month period.A 400-bed community teaching hospital.Patients, admitted to non-intensive unit beds who met specific high-risk criteria. The...

10.1111/jgs.16189 article EN Journal of the American Geriatrics Society 2019-10-01

Familial chylomicronemia syndrome (FCS) is a rare autosomal recessive disease due mainly to inherited deficiencies in the proteins or enzymes involved clearance of triglycerides from circulation. It usually happens late childhood and adolescence, which can have serious consequences if misdiagnosed untreated. In present study, we investigated two Chinese male babies (A B), 30d 48d age, respectively, who milky plasma. Clinical, biochemical, radiological assessments were performed, while...

10.1186/s12944-016-0254-z article EN cc-by Lipids in Health and Disease 2016-05-06

Abstract Background and Aims The time lag encountered when accessing health‐care data is one major barrier to implementing opioid overdose prediction measures in practice. Little known regarding how one's risk changes over time. We aimed identify longitudinal patterns of individual predicted risks among Medicaid beneficiaries after initiation prescriptions. Design, Setting Participants A retrospective cohort study Pennsylvania, USA Pennsylvania aged 18–64 years who initiated prescriptions...

10.1111/add.15878 article EN Addiction 2022-03-22

Objective: To evaluate the clinical significance of serum albumin (ALB) levels in early evaluation and prognosis preterm infants neonatal intensive care units (NICUs). Materials Methods: The authors collected retrospectively analyzed complete records admitted to NICU from July 2012 March 2013. cases were divided into three groups according their ALB levels: ≥30 g/L, 25–30 ≤25 g/L. Results mean gestational age g/L group was significantly higher than that [(33.41 ± 2.15) weeks] (p 30 p...

10.12891/ceog2044.2016 article EN Clinical and Experimental Obstetrics & Gynecology 2016-02-10

Objective To summarize the clinical manifestations, diagnosis and treatment of perinatal tuberculosis. Methods We retrospectively analyzed data six infants with tuberculosis treated in Xinhua Hospital Affiliated to Shanghai Jiao Tong University School Medicine from January 2000 December 2016. Results (1) The patients were at age 27 60 days onset, while mean ages full-term preterm (31±4) (55±6) days, respectively. Three mothers diagnosed active (two which after parturition). (2)...

10.3760/cma.j.issn.1007-9408.2018.08.004 article EN Zhonghua weichan yixue zazhi 2018-08-16
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