Evidence map›Paper›PMID 29515937›Full record

ArticleACM transactions on interactive intelligent systems2018

Chronodes: Interactive Multifocus Exploration of Event Sequences.

Peter J Polack, Shang-Tse Chen, Minsuk Kahng, Kaya DE Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng Chau

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACM transactions on interactive intelligent systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Peter J PolackGeorgia Institute of Technology.
Shang-Tse ChenGeorgia Institute of Technology.
Minsuk KahngGeorgia Institute of Technology.
Kaya DE BarbaroGeorgia Institute of Technology.
Rahul BasoleGeorgia Institute of Technology.
Moushumi SharminWestern Washington University.
Duen Horng ChauGeorgia Institute of Technology.

Funding

TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
NIBIB NIH HHS U54 EB020404
6 · The paper itself

Abstract

The advent of mobile health (mHealth) technologies challenges the capabilities of current visualizations, interactive tools, and algorithms. We present Chronodes, an interactive system that unifies data mining and human-centric visualization techniques to support explorative analysis of longitudinal mHealth data. Chronodes extracts and visualizes frequent event sequences that reveal chronological patterns across multiple participant timelines of mHealth data. It then combines novel interaction and visualization techniques to enable multifocus event sequence analysis, which allows health researchers to interactively define, explore, and compare groups of participant behaviors using event sequence combinations. Through summarizing insights gained from a pilot study with 20 behavioral and biomedical health experts, we discuss Chronodes's efficacy and potential impact in the mHealth domain. Ultimately, we outline important open challenges in mHealth, and offer recommendations and design guidelines for future research.

Indexed as

Applied computing → Health care information systemscohort discoveryevent alignmentHuman-centered computing → Visual analyticsmHealthMobile health sensor datasequence mining

Identifiers

PMID29515937
PMCPMC5835550

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.