The organizing committee is delighted to invite you to ACM MIH 2017, the 1st ACM Workshop on Medical Informatics and Healthcare 2017, to be held in beautiful Halifax Canada on August 14th, 2017. MIH 2017 will be held in conjunction with ACM KDD 2017.

Announcements

• 08/03/2017: Workshop papers posted in PDF format
• 07/20/2017: Program posted!
• 06/13/2017: Keynote: Medical Imaging Analytics, Informatics and Machine Learning in a Global Health Application
• 05/26/2017: Confirmed keynote speaker, Dr. Sameer Antani, Staff Scientist at National Library of Medicine, National Institute of Health  
• 05/26/2017: Deadline extension for paper submission until May 31st, 2017
• 05/24/2017: Updated paper submission site, deadline 05/25/17 AoE (Anytime on Earth)!
• 05/19/2017: Paper submission deadline extension to May 25th, 2017
• 05/09/2017: Call for Papers (TXT, PDF)
• 05/09/2017: Paper submission is open
• 03/27/2017: ACM MIH 2017 website launched

About MIH

This workshop is on medical data mining to improve healthcare. It aims to provide a forum for data miners, informaticians, data scientists, and clinical researchers to share their latest investigations in applying data mining techniques to healthcare data residing in electronic health records (EHR). The increasing availability of large and complex medical data sets to the research community triggers the need to develop more advanced and sophisticated big data analytical techniques to exploit and manage these big data. The broader context of the workshop comprehends artificial intelligence, information retrieval, machine learning, natural language processing. Submissions are invited to address the need for developing new methods to mine, summarize and integrate the huge volume and diverse modalities of the structured and unstructured biomedical and healthcare data that can potentially lead to significant advances in the field. Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR) and will be posted on the workshop website. We plan to organize a journal special issue and invite extended versions of the accepted papers for that. 

AUDIENCE: personnel interested in developing and applying sophisticated computational techniques (e.g. data mining, machine learning, statistics) to medical and healthcare data. Health care providers and practitioners are also welcome to attend.

Topics

Topics of interest include, but are not limited to:

• Clustering big data in EHRs to identify patients with similar disease/symptom/treatment

• Building predictive models for diseases from big data in the EHR.

• Generating lexicons/vocabularies of diseases of interest using deep learning algorithms

• Establishing patients’ cohorts with targeted diseases using information retrieval techniques

• Discovering risk factors of diseases using natural language processing methods

• Longitudinal analysis of temporal data in EHRs

• EHR summarization

• Topic modeling / detection in large amounts of clinical text data

• Integrating structured (tabulated) and unstructured (text narratives) data in the EHR.

• Developing efficient computational algorithms for mining/analyzing big EHR data

• Novel visualization techniques to facilitate the query and analysis of  clinical data

• Statistics and probability in large-scale EHR data mining

• Medical image data mining

• Pharmacogenomics data mining

• Data preprocessing and cleansing to deal with noise and missing data in the EHR.

• Developing decision support approaches (especially with uncertain data) in the EHR

• Multi-view learning of the heterogeneous EHR

 

Important Dates

Papers:

• Paper submissions: May 21, 2017 May 31, 2017 (AoE)
• Paper notifications: June 16, 2017
• Workshop Date: August 14, 2017

Paper Submission

Authors are invited to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 8 letter size (8.5 x 11) pages including figures, tables and references using the following templates (doc). Authors should submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the MIH 2017 paper submission system (https://easychair.org/my/conference.cgi?a=13705488;welcome=1;conf=mih17). 

Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference General Chairs for more information.

 

Organization

General Chairs

• Samah Jamal Fodeh, Yale University (samah.fodeh at yale dot edu)
• Daniela Stan Raicu, DePaul University (draicu at cdm dot depaul dot edu)

Technical Program Committee

• Sameer Antani, NIH, NLM

• Samuel Armato, University of Chicago

• Abbas Babajani-Feremi, University of Tennessee Health Science Center

• Jonathan Bate , Yale University

• Hamidreza Chitsaz, Colorado State University

• Rosa Figueroa, University of Utah

• Jacob Furst, DePaul University

• Adam Gaweda, University of Louisville

• Jonathan Gemmell, DePaul University

• Maryellen Giger, University of Chicago

• Ali Haddad, Yale University

• Jose Martin, University of Valencia

• Robert Mcdougal, Yale University

• Henning Mueller, University Hospital of Geneva, Switzerland

• Douglas Redd, George Washington University

• Mohammed Siadat, Oakland University