AMIA 2019 Clinical Informatics Conference - Tagged with Keywords>Artificial Intelligence/Machine Learning

Poster

Board 01 - A Clinical and Research Support System Based on Semi-supervised Methods

6:00 PM–7:00 PM Apr 30, 2019 (US - Eastern)

Altitude

Aman KumarSenior Computational Linguist atBCL Technologies

Poster

Board 01 - Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit

4:30 PM–5:30 PM May 1, 2019 (US - Eastern)

Altitude

Cameron CarlinData Scientist atChildren's Hospital Los Angeles

Poster

Board 02 - Adoption of Machine Learning Models for Clinical Care in US Academic Medical Centers

4:30 PM–5:30 PM May 1, 2019 (US - Eastern)

Altitude

Anisha ChandiramaniClinical Informatics Fellow atDuke University

Poster

Board 02 - A Standalone Ready-to-Use ANN App for Clinical Text De-identification: NDeID

6:00 PM–7:00 PM Apr 30, 2019 (US - Eastern)

Altitude

Kahyun LeePhD Student atGeorge Mason University

Poster

Board 03 - Predicting Inpatient Hospital Admissions with Payer Data

4:30 PM–5:30 PM May 1, 2019 (US - Eastern)

Altitude

Adam CornilleManager of Data Science atPremera Blue Cross

Poster

Board 03 - Using Clinical User-Centered Design (UCD) to Drive Development of Advanced Clinical Care Solutions

6:00 PM–7:00 PM Apr 30, 2019 (US - Eastern)

Altitude

Justin StewartPhysician atUniversity of Washington

Poster

Board 04 - Feasibility of A Machine Learning-Based Medical Fact Extractor Designed to Reduce Chart Search and Documentation Burden

4:30 PM–5:30 PM May 1, 2019 (US - Eastern)

Altitude

Jackson SteinkampBoston University School of Medicine

Poster

Board 04 - Predicting Infant Mortality from Delivery Electronic Health Records

6:00 PM–7:00 PM Apr 30, 2019 (US - Eastern)

Altitude

Prof. Fuchiang (Rich) TsuiAssociate Professor atUniversity of Pennsylvania Perelman School of Medicine

Presentation

Medical Record Question Answering and Translation via Deep Attention Networks

8:20 AM–8:40 AM May 2, 2019 (US - Eastern)

Great Room 2

Jay UrbainProfessor, Department of Electrical Engineering & Computer Science atMilwaukee School of Engineering

Presentation

Methodology of Sepsis Prognosis Prediction Model Tailored Clinical Practice

10:05 AM–10:25 AM May 1, 2019 (US - Eastern)

Great Room 2

R.N., PhD Min Jeoung KangReserach Fellow atBrigham and Women's Hospital/ Harvard Medical School

Presentation

Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children

8:00 AM–8:20 AM May 2, 2019 (US - Eastern)

Great Room 2

Halim AbbasChief AI Officer atCognoa

Presentation

Non-invasive Hemodynamic Shock Prediction Using Machine Learning on Thermal Images.

9:45 AM–10:05 AM May 1, 2019 (US - Eastern)

Great Room 2

Aditya NagoriGraduate student atCSIR- Institute of Genomics and Integrative Biology

Presentation

Unsupervised-learning of concern topics documented by nurses about hospitalized patients prior to a rapid-response event

10:25 AM–10:45 AM May 1, 2019 (US - Eastern)

Great Room 2

Tom KorachPostdoc research fellow atBrigham and Women's Hospital/Harvard Medical School

Workshop

W03: End-to-end Decision-learning in Clinical and Public Health Datasets with Bayesian Artificial Intelligence

8:00 AM–10:00 AM Apr 30, 2019 (US - Eastern)

Focus

Tavpritesh Sethi MBBS, PhDAssistant Professor atIIIT-Delhi