Clinical Data Analytics and Applied Medical Informatics Research

Afshar/Joyce Lab

 

Mission:

The lab of Drs. Majid Afshar and Cara Joyce is a NIH-funded lab to conduct clinical research from electronic health records with applications in artificial intelligence to accomplish three goals: (1) health outcomes and health inequities research; (2) applied predictive modelling; and (3) high throughput phenotyping.  Our lab brings together physician-scientists, biostatisticians, and computer scientists to provide a multidisciplinary approach to medical informatics research with expertise in machine learning, natural language processing, and statistical learning for electronic health records data. Our aim is to provide research that is operational and may be implemented in real-time. We have developed partnerships with other academic centers for validation of our derived models and we currently participate in activities within our Chicago-area clinical data research network (CAPriCORN), NIH Clinical and Translational Science Award program (CTSA), and Loyola’s Center for Health Outcomes and Informatics Research (CHOIR). Beyond providing sophisticated implementation of predictive analytics, our team’s mission is to align with the priorities of Loyola and the Healthy Chicago 2.0 plan to ensure decision-making algorithms promote health equity and do not perpetuate the hidden biases of the health systems at large.

 

Faculty:

Majid Afshar, MD, MSc

  • Assistant Professor of Pulmonary and Critical Care Medicine
  • Assistant Professor, Public Health Sciences, Loyola University Stritch School of Medicine
  • Steering Committee, Center for Health Outcomes and Informatics Research
  • Areas of Interest: Clinical informatics and health outcomes research, Substance misuse, natural language processing
  • https://www.ncbi.nlm.nih.gov/myncbi/1VKoVkwDntx58/bibliography/public/

Cara Joyce, PhD

  • Assistant Professor, Public Health Sciences Loyola University
  • Areas of Interest: Biostatistics, P Electronic health record phenotyping, predictive modeling and examining health outcomes, Natural language processing
  • Director of Biostatistics Core, Clinical Research Office

Dmitry Dligach, PhD

  • Assistant Professor of Computer Science, Public Health Sciences, Loyola University School of Medicine.
  • The overarching goal of Dr. Dligach's research is developing methods for automatic semantic analysis of texts. His work spans such areas of computer science as natural language processing, machine learning, and data mining. Most recently his research has focused on semantic analysis of clinical texts. He works both on method development and applications.
  • https://scholar.google.com/citations?hl=en&user=mkLwEPkAAAAJ&view_op=list_works&sortby=pubdate. 

Brihat Sharma, M Computer Science

Nallely Mora, MD, MPH

  • Research Assistant Professor, Public Health Sciences Loyola University &  Lab Project Manager

 

Staff:

Brad Hughes, BS in Mathematics

Research Assistant

 

Fellows:

Perry Formanek, MD

Emanuel Eguia, MD, MPH

Faraz Behzadi

Sujay Kulshrestha, MD

Michal Reid, MD

  • Examination of the association of unhealthy substance use on perioperative complications: A retrospective analysis from the electronic health record
  • Artificial intelligence for detection of obstructive airway disease and malignant pulmonary nodules

 Xin Su

Robert Kania

  • Using deep neural networks for learning patient representations
  • Using section information to improve phenotyping classifiers

 

Contact Information:

Nallely Mora

708-327-7309

namora@LUC.edu

 

Publications:

Dr. Afshar: https://www.ncbi.nlm.nih.gov/myncbi/1VKoVkwDntx58/bibliography/public/

Dr. Joyce: https://www.ncbi.nlm.nih.gov/myncbi/1ZOhxUsaiepks/bibliography/public/

Dr. Dligach: https://scholar.google.com/citations?hl=en&user=mkLwEPkAAAAJ&view_op=list_works&sortby=pubdate

 

Who are we?