IBM Journal of Research and Development

Volume 62 Issue 1 • Jan.-Feb. 2018

User-generated health data and applications
User-generated health data includes data related to activity, diet, exercise, sleep, symptoms, treatments, and outcomes that are collected by the patient outside clinical settings. Beyond various data capture and processing challenges, it is essential to understand how insights generated from the data can be made useful for key stakeholders (e.g., payers, providers, and patients). This issue of the IBM Journal of Research and Development emphasizes new methods, models, capabilities, and technologies that focus on the collection, processing, privacy, curation, analysis, interpretation, and use of insights from user-generated health data. Non-topical papers, at the end of this issue, are on the topics of 1) building a cognitive platform for the managed IT services lifecycle and 2) reengineering a server ecosystem for enhanced portability and performance.
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Aims & Scope

The IBM Journal of Research and Development is a peer-reviewed technical journal, published bimonthly, which features the work of authors in the science, technology and engineering of information systems.


The following IBM journal articles are freely available for all users to view:



Algorithmic Information Theory
Functional Dependencies in a Relational Database and Propositional Logic
Notes on the history of reversible computation
SEQUEL 2: A Unified Approach to Data Definition, Manipulation, and Control
Some Studies in Machine Learning Using the Game of Checkers
The Design of APL
The evolution of RISC technology at IBM
The Experimental Compiling System



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Meet Our Editors

Rachel D'Annucci Henriquez
IBM T. J. Watson Research Center