Pathway-finder: An interactive recommender system for supporting personalized care pathways

Rui Liu; Raj Velamur Srinivasan; Kiyana Zolfaghar; Si Chi Chin; Senjuti Basu Roy; Aftab Hasan; David Hazel

doi:10.1109/ICDMW.2014.37

Pathway-finder: An interactive recommender system for supporting personalized care pathways

Rui Liu, Raj Velamur Srinivasan, Kiyana Zolfaghar, Si Chi Chin, Senjuti Basu Roy, Aftab Hasan, David Hazel

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Scopus citations

Abstract

Clinical pathways define the essential component of the complex care process, with the objective to optimize patient outcomes and resource allocation. Clinical pathway analysis has gained increased attention in order to augment the patient treatment process. In this demonstration paper, we propose Pathway-Finder, an interactive recommender system to visually explore and discover clinical pathways. The interactive web service efficiently collects and displays patient information in a meaningful way to support an effective personalized treatment plan. Pathway-Finder implements a Bayesian Network to discover causal relationships among different factors. To support real-time recommendation and visualization, a key-value structure has been implemented to traverse the Bayesian Network faster. Additionally, Pathway-Finder is a cloud based web service hosted on Microsoft Azure which enables the health providers to access the system without the need to deploy analytics infrastructure. We demonstrate Pathway-Finder to interactively recommend personalized interventions to minimize 30-day readmission risk for Heart Failure (HF).

Original language	English (US)
Title of host publication	Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
Editors	Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
Publisher	IEEE Computer Society
Pages	1219-1222
Number of pages	4
Edition	January
ISBN (Electronic)	9781479942749
DOIs	https://doi.org/10.1109/ICDMW.2014.37
State	Published - Jan 26 2015
Event	14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China Duration: Dec 14 2014 → …

Publication series

Name	IEEE International Conference on Data Mining Workshops, ICDMW
Number	January
Volume	2015-January
ISSN (Print)	2375-9232
ISSN (Electronic)	2375-9259

Other

Other	14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
Country/Territory	China
City	Shenzhen
Period	12/14/14 → …

All Science Journal Classification (ASJC) codes

Computer Science Applications
Software

Keywords

Bayesian network
heart failure
intervention recommendation
risk of readmission

Access to Document

10.1109/ICDMW.2014.37

Cite this

Liu, R., Srinivasan, R. V., Zolfaghar, K., Chin, S. C., Roy, S. B., Hasan, A., & Hazel, D. (2015). Pathway-finder: An interactive recommender system for supporting personalized care pathways. In Z.-H. Zhou, W. Wang, R. Kumar, H. Toivonen, J. Pei, J. Zhexue Huang, & X. Wu (Eds.), Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 (January ed., pp. 1219-1222). Article 7022738 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2015-January, No. January). IEEE Computer Society. https://doi.org/10.1109/ICDMW.2014.37

Liu, Rui ; Srinivasan, Raj Velamur ; Zolfaghar, Kiyana et al. / Pathway-finder : An interactive recommender system for supporting personalized care pathways. Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. editor / Zhi-Hua Zhou ; Wei Wang ; Ravi Kumar ; Hannu Toivonen ; Jian Pei ; Joshua Zhexue Huang ; Xindong Wu. January. ed. IEEE Computer Society, 2015. pp. 1219-1222 (IEEE International Conference on Data Mining Workshops, ICDMW; January).

@inproceedings{bc9cbd09b8ef43a8ada0749b46d8b9ca,

title = "Pathway-finder: An interactive recommender system for supporting personalized care pathways",

abstract = "Clinical pathways define the essential component of the complex care process, with the objective to optimize patient outcomes and resource allocation. Clinical pathway analysis has gained increased attention in order to augment the patient treatment process. In this demonstration paper, we propose Pathway-Finder, an interactive recommender system to visually explore and discover clinical pathways. The interactive web service efficiently collects and displays patient information in a meaningful way to support an effective personalized treatment plan. Pathway-Finder implements a Bayesian Network to discover causal relationships among different factors. To support real-time recommendation and visualization, a key-value structure has been implemented to traverse the Bayesian Network faster. Additionally, Pathway-Finder is a cloud based web service hosted on Microsoft Azure which enables the health providers to access the system without the need to deploy analytics infrastructure. We demonstrate Pathway-Finder to interactively recommend personalized interventions to minimize 30-day readmission risk for Heart Failure (HF).",

keywords = "Bayesian network, heart failure, intervention recommendation, risk of readmission",

author = "Rui Liu and Srinivasan, {Raj Velamur} and Kiyana Zolfaghar and Chin, {Si Chi} and Roy, {Senjuti Basu} and Aftab Hasan and David Hazel",

year = "2015",

month = jan,

day = "26",

doi = "10.1109/ICDMW.2014.37",

language = "English (US)",

series = "IEEE International Conference on Data Mining Workshops, ICDMW",

publisher = "IEEE Computer Society",

number = "January",

pages = "1219--1222",

editor = "Zhi-Hua Zhou and Wei Wang and Ravi Kumar and Hannu Toivonen and Jian Pei and {Zhexue Huang}, Joshua and Xindong Wu",

booktitle = "Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014",

address = "United States",

edition = "January",

note = "14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 ; Conference date: 14-12-2014",

}

Liu, R, Srinivasan, RV, Zolfaghar, K, Chin, SC, Roy, SB, Hasan, A & Hazel, D 2015, Pathway-finder: An interactive recommender system for supporting personalized care pathways. in Z-H Zhou, W Wang, R Kumar, H Toivonen, J Pei, J Zhexue Huang & X Wu (eds), Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. January edn, 7022738, IEEE International Conference on Data Mining Workshops, ICDMW, no. January, vol. 2015-January, IEEE Computer Society, pp. 1219-1222, 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014, Shenzhen, China, 12/14/14. https://doi.org/10.1109/ICDMW.2014.37

Pathway-finder: An interactive recommender system for supporting personalized care pathways. / Liu, Rui; Srinivasan, Raj Velamur; Zolfaghar, Kiyana et al.
Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. ed. / Zhi-Hua Zhou; Wei Wang; Ravi Kumar; Hannu Toivonen; Jian Pei; Joshua Zhexue Huang; Xindong Wu. January. ed. IEEE Computer Society, 2015. p. 1219-1222 7022738 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2015-January, No. January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Pathway-finder

T2 - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014

AU - Liu, Rui

AU - Srinivasan, Raj Velamur

AU - Zolfaghar, Kiyana

AU - Chin, Si Chi

AU - Roy, Senjuti Basu

AU - Hasan, Aftab

AU - Hazel, David

PY - 2015/1/26

Y1 - 2015/1/26

N2 - Clinical pathways define the essential component of the complex care process, with the objective to optimize patient outcomes and resource allocation. Clinical pathway analysis has gained increased attention in order to augment the patient treatment process. In this demonstration paper, we propose Pathway-Finder, an interactive recommender system to visually explore and discover clinical pathways. The interactive web service efficiently collects and displays patient information in a meaningful way to support an effective personalized treatment plan. Pathway-Finder implements a Bayesian Network to discover causal relationships among different factors. To support real-time recommendation and visualization, a key-value structure has been implemented to traverse the Bayesian Network faster. Additionally, Pathway-Finder is a cloud based web service hosted on Microsoft Azure which enables the health providers to access the system without the need to deploy analytics infrastructure. We demonstrate Pathway-Finder to interactively recommend personalized interventions to minimize 30-day readmission risk for Heart Failure (HF).

AB - Clinical pathways define the essential component of the complex care process, with the objective to optimize patient outcomes and resource allocation. Clinical pathway analysis has gained increased attention in order to augment the patient treatment process. In this demonstration paper, we propose Pathway-Finder, an interactive recommender system to visually explore and discover clinical pathways. The interactive web service efficiently collects and displays patient information in a meaningful way to support an effective personalized treatment plan. Pathway-Finder implements a Bayesian Network to discover causal relationships among different factors. To support real-time recommendation and visualization, a key-value structure has been implemented to traverse the Bayesian Network faster. Additionally, Pathway-Finder is a cloud based web service hosted on Microsoft Azure which enables the health providers to access the system without the need to deploy analytics infrastructure. We demonstrate Pathway-Finder to interactively recommend personalized interventions to minimize 30-day readmission risk for Heart Failure (HF).

KW - Bayesian network

KW - heart failure

KW - intervention recommendation

KW - risk of readmission

UR - http://www.scopus.com/inward/record.url?scp=84936855948&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84936855948&partnerID=8YFLogxK

U2 - 10.1109/ICDMW.2014.37

DO - 10.1109/ICDMW.2014.37

M3 - Conference contribution

T3 - IEEE International Conference on Data Mining Workshops, ICDMW

SP - 1219

EP - 1222

BT - Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014

A2 - Zhou, Zhi-Hua

A2 - Wang, Wei

A2 - Kumar, Ravi

A2 - Toivonen, Hannu

A2 - Pei, Jian

A2 - Zhexue Huang, Joshua

A2 - Wu, Xindong

PB - IEEE Computer Society

Y2 - 14 December 2014

ER -

Liu R, Srinivasan RV, Zolfaghar K, Chin SC, Roy SB, Hasan A et al. Pathway-finder: An interactive recommender system for supporting personalized care pathways. In Zhou ZH, Wang W, Kumar R, Toivonen H, Pei J, Zhexue Huang J, Wu X, editors, Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. January ed. IEEE Computer Society. 2015. p. 1219-1222. 7022738. (IEEE International Conference on Data Mining Workshops, ICDMW; January). doi: 10.1109/ICDMW.2014.37

Pathway-finder: An interactive recommender system for supporting personalized care pathways

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this