2018 February JAMIA Journal Club Webinar

February 8, 2018
3:00PM
4:00PM
EST
Fee: 
Free for AMIA members and students of Academic Forum member institutions; Others: $50
Presenters: 
Jason M. Baron, MD

3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data

Author Jason Baron will discuss this month's JAMIA Journal Club selection:

Luo Y, Szolovits P, Dighe AS, Baron JM. 3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data. J Am Med Inform Assoc. 2017 Nov 30. doi: 10.1093/jamia/ocx133. [Epub ahead of print]

https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocx133/...

Presenter

Jason M. Baron, MD
Assistant Professor in Pathology
Harvard Medical School

Department of Pathology
Massachusetts General Hospital
Boston, MA

Jason Baron, MD, is a medical director in the Core Laboratory and an investigator in Pathology Informatics within the Department of Pathology at the Massachusetts General Hospital. Dr. Baron's research interests are focused on clinical decision support for laboratory testing and the application of statistical methods, and "big-data" analytics to enhance laboratory diagnosis. He is particularly interested in the use of artificial intelligence to derive more precise and patient-specific, diagnostic, prognostic and prescriptive information from sets of routine laboratory data. His clinical responsibilities include overseeing reference laboratory testing as well as advancing quality improvement and utilization management initiatives throughout the Core Lab.  

Format

  • 40-minute discussion between the authors and the JAMIA Student Editorial Board moderators including salient features of the published study and its potential impact on practice.
  • 20-minute discussion of questions submitted by listeners via the webinar tools.

Interactive/Evaluations

  • Follow @AMIAinformatics and #JAMIAJC for Journal Club information.
  • Participants also receive short feedback surveys to evaluate the JAMIA JC webinar.

Managers

JAMIA Journal Club managers are JAMIA Student Editorial Board members:

Lucy Lu Wang, PhD Candidate, Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 


Yinan Zheng, Post-doc, Northwestern University, Center for Population Epigenetics, Evanston, IL



Citation

The PubMed citation for the paper under discussion is:

Luo Y, Szolovits P, Dighe AS, Baron JM. 3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data. J Am Med Inform Assoc. 2017 Nov 30. doi: 10.1093/jamia/ocx133. [Epub ahead of print]

Students who are not AMIA members, but whose academic institutions are members of the Academic Forum, are eligible for a complimentary JAMIA Journal Club registration. Please contact Susanne Arnold at susanne@amia.org for the discount code. In the email, please include: full name, Academic Department, and the primary Academic Forum representative of that Academic Department. Note that AMIA Student memberships are $50, which allow access to JAMIA, all JAMIA Journal Clubs, and other webinars of interest to the biomedical informatics community. 

Statement of Purpose

A key challenge in clinical data mining relates to the fact that most "real world" clinical datasets contain missing data. For example, patient conditions and clinical or administrative requirements will usually guide clinicians in ordering laboratory tests or other diagnostic studies. Accordingly, which elements of diagnostic data are available will vary considerably between patients. Most research frameworks treat unavailable data elements as "missing." Since many commonly used machine learning algorithms require complete datasets (no missing data), clinical analytic approaches often entail an imputation procedure to “fill in” missing data. However, although most clinical datasets contain a temporal component, most commonly used imputation methods do not adequately accommodate longitudinal time-based data.

This JAMIA Journal Club webinar will discuss the 3D-MICE (3-dimensional multiple imputation with chained equations) approach developed and used in this study to impute missing clinical laboratory time series data. In addition to reviewing the 3D-MICE methodology, the presenters will discuss potential applications of the algorithm in facilitating clinical data mining and in developing more precise clinical diagnosis.

Target Audience

The target audience for this activity is professionals and students interested in biomedical and health informatics.

Learning Objectives

After this live activity, the participant should be better able to:

  • Appreciate the limitations of traditional machine learning and imputation algorithms to accommodate and impute missing clinical time series data.
  • Assess the benefits, limitations and potential applications of the 3D-MICE (3-dimensional multiple imputation with chained equations) approach for imputation of missing clinical time series data

Faculty

Jason M. Baron, MD
Assistant Professor in Pathology
Harvard Medical School

Department of Pathology
Massachusetts General Hospital
Boston, MA

Accreditation Statement

The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Credit Designation Statement

The American Medical Informatics Association designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s)™ Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

Criteria for Successful Completion

Completion of this live activity is demonstrated by:

  • Viewing the live webinar
  • Optional submission of questions via webinar feature; option to follow @AMIAinformatics and tweet via #JAMIAJC
  • Completion of the evaluation survey emailed at the webinar's conclusion, and 
  • Verification of attendance through the participant's electronic report through the individual login to AMIA Central at www.amia.org. 

The physician participant will be able to generate a CME certificate through the AMIA automated system. 
For a certificate of completion, contact Pesha@amia.org.

Commercial Support

No commercial support was received for this activity.

Disclosure Policy

As a provider accredited by the ACCME, AMIA requires that everyone who is in a position to control the content of an educational activity disclose all relevant financial relationships with any commercial interest for 12 months prior to the educational activity.

The ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.

Faculty and planners who refuse to disclose relevant financial relationships will be disqualified from participating in the CME activity. For an individual with no relevant financial relationship(s), the participants must be informed that no conflicts of interest or financial relationship(s) exist.

AMIA uses a number of methods to resolve potential conflicts of interest, including: limiting content of the presentation to that which has been reviewed by one or more peer reviewers; ensuring that all scientific research referred to conforms to generally accepted standards of experimental design, data collection, and analysis; undertaking review of the educational activity by a content reviewer to evaluate for potential bias, balance in presentation, evidence-based content or other indicators of integrity, and absence of bias; monitoring the educational activity to evaluate for commercial bias in the presentation; and/or reviewing participant feedback to evaluate for commercial bias in the activity.

Disclosures for this Activity

These faculty, planners, and staff who are in a position to control the content of this activity disclose that they and their life partners have no relevant financial relationships with commercial interests: 

JAMIA Journal Club Faculty: Jason M. Baron
JAMIA Journal Club planners: Lucy Lu Wang, Yinan Zheng
AMIA staff: Susanne Arnold, Pesha Rubinstein

The following provide their disclosures of relevant financial relationships with commercial interests that have occurred within the previous 12 months:

JAMIA Student Editorial Board Advisor Michael Chiang:

 Grants/Research Support: NIH, NSF
Consultant: Novartis; Clarity Medical Systems (unpaid member of Scientific Advisory Board)

Instructions for Claiming CME/CE Credit

CME site (MyAMIA) works best with IE 8 or above version, Chrome, Safari, and Firefox.

  • Login to your account at amia.org; in upper right hand corner, click on AMIA Central
  • Go to “My Events" under Membership/Activities
  • Click “Apply for Credits" for this webinar
  • Follow the instructions on the Credit Registration page. Be sure both drop-down menus say “physician”
  • To print out your certificate, go to "My CME/CE Credits" under Membership/Activities.
  • Physicians will be able to print out or save their CME certificates.
  • Other attendees: if you require a certificate of participation, please contact pesha@amia.org

Contact Info

For questions about content or CE, email pesha@amia.org.