Education Catalog

Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes. Read the Abstract Presenter Statement of Purpose This project is an interdisciplinary project that combines a focus on machine learning and autism spectrum disorders. Overall, our goal is to support clinicians with much or little mental [...]

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models Read the Abstract Presenter Statement of Purpose The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of [...]

Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias Read the Abstract Presenter Statement of Purpose Current clinical trials continue to suffer from low recruitment rates. Improving the recruitment process is a crucial step towards eliminating barriers that inhibit participation and [...]

Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data Read the abstract Presenters Statement of Purpose The integration of the vast available EHR data and artificial intelligence (AI) in healthcare management and clinical care has been a growing area [...]

Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare Read the abstract Presenter Maryam Zolnoori, PhD, is a postdoctoral research scientist in the School of Nursing. She has master’s degrees in information technology and health informatics from Tarbiat Modares University and Indiana [...]