Description: Healthcare informatics research is a scientific endeavor that investigates the use of informatics and data science approaches for addressing healthcare needs in order to optimize both health service and patient care outcomes. With the wide adoption of electronic health records (EHRs) as well as the movement of big data, there is a need to the use of informatics and data science techniques to conduct dynamic and intelligent learning from complicated healthcare data. This workshop will provide a forum for computer scientists, healthcare informaticians, biostatistician, and clinical participants to share novel findings on their latest investigations in leveraging informatics and data science techniques for healthcare data.
Feichen Shen, Ph.D., Research Associate, Department of Health Sciences Research, Mayo Clinic
Vipin Chaudhary, Ph.D., Professor, Department of Computer Science and Engineering, The State University of New York at Buffalo
Yan Liu, PhD., Associate Professor, Computer Science Department, University of Southern California
Che Ngufor, Ph.D., Associate Consultant, Department of Health Sciences Research, Mayo Clinic
Hongfang Liu, Ph.D., Professor, Department of Health Sciences Research, Mayo Clinic
Description: Mental health is an increasingly important problem in healthcare. The rapid growth of Electronic Health Records and social media data such as Twitter and Facebook provides unprecedented opportunities to use dense longitudinal clinical datasets and real-time social media data for the prevention, diagnosis and intervention research for psychiatric disorders. However, the subjective and diverse expressions in psychiatric text make it challenging for natural language processing (NLP) and ontology technologies to extract, normalize and semantically represent mental health related information. The goal of this workshop is to bring experts in the field of NLP, knowledge representation, knowledge management, and health data analytics to discuss innovative analytical methods, applications, and tools to address problems in mental health.
Cui Tao, School of Biomedical Informatics, University of Texas Health Center at Houston, USA
Jiang Bian, Biomedical Informatics, Health Outcomes & Policy, College of Medicine, University of Florida, USA
Yaoyun Zhang, School of Biomedical Informatics, University of Texas Health Center at Houston, USA
Description: Natural Language Processing (NLP) technologies have received significant attention in the medical domain and have demonstrated numerous successful uses in healthcare applications. The 2018 HealthNLP workshop will provide a unique platform for close interactions among students, scholars, and industry professionals who are interested in NLP over health data such as clinical notes, social media, and biomedical literature. This new workshop will be held in conjunction with the IEEE International Conference on Healthcare Informatics in New York City on June 4th, 2018.
HealthNLP 2018 invites papers and abstracts about original research and works in progress in natural language processing over health data, focusing on methods, tools, and applications. All submitted papers and abstracts will be peer-reviewed, and selected papers and abstracts will be featured as oral / poster presentations at the workshop. The day-long workshop will also feature a keynote speech and a roundtable discussion.
Hua Xu, PhD, The University of Texas Health Science Center at Houston, US
V.G.Vinod Vydiswaran, PhD, University of Michigan, US