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UF Health University of Florida

Health Outcomes & Biomedical Informatics

College of Medicine

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Yi Guo

Yi Guo, Ph.D.

Assistant Professor

Department: MD-HOBI-GENERAL
Business Phone: (352) 294-5969
Business Email: yiguo@ufl.edu

About Yi Guo

Dr. Yi Guo is an Assistant Professor in the Department of Health Outcomes & Biomedical Informatics in the College of Medicine at University of Florida. His research focuses on 1) reducing health disparities, 2) integrating heterogeneous data for health risk prediction, and 3) validating patient-reported outcome measures across subpopulations. With a unique combination of training in biostatistics, bioinformatics, and biochemistry, Dr. Guo has strong study design, data collection, and analytical skills. His expertise includes interventional study design, power and sample size analysis, analysis of multi-level and longitudinal designs, mediation and moderation analysis, and health risk, including risk of cardiovascular disease, prediction modeling. He has extensive experience collaborating with clinicians and biomedical researchers on study design, coordination, and analysis. In particular, he has extensive experience applying complex statistical models to analyze health outcomes.

Accomplishments

UF Health Shands Rose Rivers Chrysalis Award for Evolving Research
2019 · UF Health
Exemplary Teacher Award
2019 · University of Florida College of Medicine
Exceptional Reviewer
2019 · The Journal of Rural Health
Travel Award
2016 · The South Big Data Hub
Program Fellowship
2004 · Ohio State University, Ohio State Biochemistry Program

Research Profile

My areas of expertise serve an overarching research theme: data-driven precision and public health supporting clinical (shared) decision making and multilevel health interventions. Under the overarching theme, my research areas and expertise can be divided into: 1) Electronic health records (EHR)-based phenotyping and risk stratification – the identification of sub-populations with certain conditions or at higher risk for diseases; 2) Causal modeling and inference – the examination of causal relationships and pathways in clinical and public health research, particularly treatment studies; 3) Patient-reported outcomes (PROs) in clinical and public health applications – the development, validation, assessment, analysis, and reporting of PROs among various populations, especially vulnerable populations; and 4) Social media analysis and social media-delivered intervention – mining social media data to study health behavior and health outcomes in various populations and developing social media-delivered interventions that promote public and consumer health.

Publications

2021
Bagged random causal networks for interventional queries on observational biomedical datasets.
Journal of biomedical informatics. 115 [DOI] 10.1016/j.jbi.2021.103689. [PMID] 33548542.
View on: PubMed Publisher’s Site
2020
Objective and subjective socioeconomic status associated with metabolic syndrome severity among African American adults in Jackson Heart Study.
Psychoneuroendocrinology. 117 [DOI] 10.1016/j.psyneuen.2020.104686. [PMID] 32361636.
View on: PubMed Publisher’s Site
2019
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design
Bmc Medical Informatics and Decision Making. 19(4):1-18
2019
Assessing the effect of data integration on predictive ability of cancer survival models
.
2019
Association of Rates of Smoking During Pregnancy With Corporate Tobacco Sales Policies
Jama Pediatrics. 173(3):284-286
2019
Classification Tree Analysis of Factors Associated with Oral Cancer Exam
American Journal of Health Behavior. 43(3):635-647
2019
Facilitation or Hindrance: Physicians’ Perception on Best Practice Alerts (BPA) Usage in an Electronic Health Record System.
Health communication. 34(9):942-948 [DOI] 10.1080/10410236.2018.1443263. [PMID] 29485296.
View on: PubMed Publisher’s Site
2019
Low Rates of Patient-Reported Physician–Patient Discussion about Lung Cancer Screening among Current Smokers: Data from Health Information National Trends Survey
. 28(5):963-973
2019
Statistical thinking, machine learning
.
2018
A 3-minute test of cardiorespiratory fitness for use in primary care clinics.
PloS one. 13(7) [DOI] 10.1371/journal.pone.0201598. [PMID] 30059539.
View on: PubMed Publisher’s Site
2018
Assessing the added predictive ability of a metabolic syndrome severity score in predicting incident cardiovascular disease and type 2 diabetes: the Atherosclerosis Risk in Communities Study and Jackson Heart Study.
Diabetology & metabolic syndrome. 10 [DOI] 10.1186/s13098-018-0344-3. [PMID] 29796112.
View on: PubMed Publisher’s Site
2018
Dental Visits Mediate the Impact of Smoking on Oral Health
American Journal of Health Behavior. 42(1):59-68 [DOI] 10.5993/AJHB.42.1.6.
View on: Publisher’s Site
2018
Metabolic syndrome severity is significantly associated with future coronary heart disease in Type 2 diabetes.
Cardiovascular diabetology. 17(1) [DOI] 10.1186/s12933-017-0647-y. [PMID] 29351794.
View on: PubMed Publisher’s Site
2018
New-Onset Diabetes Educator to Educate Children and Their Caregivers About Diabetes at the Time of Diagnosis: Usability Study.
JMIR diabetes. 3(2) [DOI] 10.2196/diabetes.9202. [PMID] 30291069.
View on: PubMed Publisher’s Site
2018
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.
BMC medical informatics and decision making. 18(Suppl 2) [DOI] 10.1186/s12911-018-0635-5. [PMID] 30066655.
View on: PubMed Publisher’s Site
2018
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival.
BMC medical informatics and decision making. 18(Suppl 2) [DOI] 10.1186/s12911-018-0636-4. [PMID] 30066664.
View on: PubMed Publisher’s Site
2017
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2017:849-858 [PMID] 29854151.
View on: PubMed
2017
Data Integration through Ontology-Based Data Access to Support Integrative Data Analysis: A Case Study of Cancer Survival.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine. 2017:1300-1303 [DOI] 10.1109/BIBM.2017.8217849. [PMID] 29707415.
View on: PubMed Publisher’s Site
2017
Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents.
JMIR mHealth and uHealth. 5(7) [DOI] 10.2196/mhealth.7346. [PMID] 28743679.
View on: PubMed Publisher’s Site

Grants

Sep 2020 ACTIVE
Using Real-world Data to Assess the Burden of Diabetes in Children and Adolescents in Florida
Role: Principal Investigator
Funding: CTRS FOR DISEASE CONTROL AND PREVENTION
Aug 2020 ACTIVE
Optimizing the Population Representativeness of Older Adults in Alzheimer's Disease and Related Dementia Clinical Trials
Role: Co-Investigator
Funding: NATL INST OF HLTH NIA
Aug 2020 ACTIVE
Using Electronic Health Records from a Large Clinical Data Research Network to Understand Cancer Burden and Cancer Risks Among Transgender and Gender Nonconforming (TGNC) Individuals
Role: Principal Investigator
Funding: NATL INST OF HLTH NCI
Mar 2020 ACTIVE
Estimating and validating the necessary diagnostic cancer biomarker test characteristics and clinical utility in patients with indeterminant pulmonary nodules
Role: Principal Investigator
Funding: VANDERBILT UNIV MEDICAL CENTER via US FOOD AND DRUG ADMN
Jan 2020 – Aug 2020
The provision of research and evaluation to determine the short and long-term human health impacts from harmful algal blooms (HABs)
Role: Principal Investigator
Funding: FL DEPT OF HLTH
Jan 2020 ACTIVE
Extracting information from clinical narratives for Clinical Outcomes Research
Role: Co-Investigator
Funding: PATIENT-CENTERED OUTCOMES RES INST
Jan 2020 ACTIVE
The benefits and harms of lung cancer screening in Florida
Role: Co-Investigator
Funding: NATL INST OF HLTH NCI
Jan 2020 – Mar 2020
Data Science in Health Informatics Workshop with Deep Learning Winter 2020
Role: Principal Investigator
Funding: *NORTHEASTERN UNIVERSITY OF CHINA
Jul 2019 – Sep 2019
Data Science in Health Informatics Workshop Summer 2019
Role: Principal Investigator
Funding: *NORTHEASTERN UNIVERSITY OF CHINA
Jan 2019 ACTIVE
Systematic Analysis of Clinical Study Generalizability Assessment Methods with Informatics
Role: Co-Investigator
Funding: FL STATE UNIV via NATL INST OF HLTH NIA
Dec 2018 – Feb 2019
Data Science in Health Informatics Workshop Winter 2019
Role: Co-Investigator
Funding: *NORTHEASTERN UNIVERSITY OF CHINA
Jun 2018 – Dec 2018
2018 Data Science in Health Informatics Summer Workshop
Role: Principal Investigator
Funding: *NORTHEASTERN UNIVERSITY OF CHINA
Apr 2018 – Oct 2018
Stakeholder Engagement and Multi-Risk Assessment in Dental Care Settings
Role: Co-Investigator
Funding: UNIV OF ALABAMA BIRMINGHAM via NATL INST OF HLTH NIDCR
Apr 2017 – Mar 2018
The National Dental PBRN FY18
Role: Co-Investigator
Funding: UNIV OF ALABAMA BIRMINGHAM via NATL INST OF HLTH NIDCR
Sep 2016 – Sep 2017
PCORI Health Systems Demonstration Project OCHIN
Role: Co-Investigator
Funding: OCHIN via PATIENT-CENTERED OUTCOMES RES INST
May 2015 – Feb 2016
Testing Additional Pediatric Quality Measures: Extraction of Permanent Molar and Treatment in Sealed Occlusal Surface
Role: Principal Investigator
Funding: AMER DENTAL ASSO
Apr 2015 – Dec 2020
Clinical and Translational Science Institute (CTSI)
Role: Project Manager
Funding: UF DIV OF SPONSORED RES MATCHING FUNDS
Jun 2014 – Dec 2017
OneFlorida Cancer Control Network
Role: Project Manager
Funding: FL DEPT OF HLTH BIOMED RES PGM/J&E KING

Education

Ph.D.
2009 · Ohio State University
B.S.
2002 · Wuhan University

Teaching Profile

Courses Taught
2015-2018,2020-2021
GMS6822 Measuring and Analyzing Health Outcomes II
2019
GMS6812 Health Outcomes Research in Cancer
2017-2018
NGR7979 Advanced Research
2018
GMS7979 Advanced Research
2018
GMS7980 Research for Doctoral Dissertation
2018
NGR7980 Research for Doctoral Dissertation

Contact Details

Phones:
Business:
(352) 294-5969
Emails:
Business:
yiguo@ufl.edu