Abstract
Over the past few decades, the rise of multiple chronic conditions has become a major concern for clinicians. However, it is still not known precisely how multiple chronic conditions emerge among patients. We propose an unsupervised multi-level temporal Bayesian network to provide a compact representation of the relationship among emergence of multiple chronic conditions and patient level risk factors over time. To improve the efficiency of the learning process, we use an extension of maximum weight spanning tree algorithm and greedy search algorithm to study the structure of the proposed network in three stages, starting with learning the inter-relationship of comorbidities within each year, followed by learning the intra-relationship of comorbidity emergence between consecutive years, and finally learning the hierarchical relationship of comorbidities and patient level risk factors. We also use a longest path algorithm to identify the most likely sequence of comorbidities emerging from and/or leading to specific chronic conditions. Using a de-identified dataset of more than 250,000 patients receiving care from the U.S. Department of Veterans Affairs for a period of five years, we compare the performance of the proposed unsupe...Continue Reading
References
Apr 1, 1986·Computer Methods and Programs in Biomedicine·G F Cooper
Dec 5, 2002·Nursing Research·Chanyeong Kwak, Alan Clayton-Matthews
Aug 4, 2004·The Journal of Ambulatory Care Management·Alfredo J SelimLewis E Kazis
Jan 28, 2010·Journal of Rehabilitation Research and Development·Henry L LewDavid X Cifu
May 22, 2010·American Journal of Physical Medicine & Rehabilitation·Henry L LewRodney D Vanderploeg
May 24, 2011·PloS One·Jonathan Agner ForsbergJohn H Healey
Jan 10, 2012·Medical Care·Brent C TaylorNina A Sayer
Mar 1, 2012·Brain Injury : [BI]·John D CorriganChristopher Holloman
Aug 18, 2012·Annals of Surgical Oncology·Alexander StojadinovicScott R Steele
Feb 23, 2013·The American Journal of Psychiatry·Shannon C MillerRussel K Gore
Sep 17, 2013·Journal of Clinical Epidemiology·Martijn LappenschaarFrançois G Schellevis
Dec 11, 2013·PloS One·M Berkan SesenMichael Brady
Jan 25, 2014·Journal of Rehabilitation Research and Development·David X CifuEmily Hagel Campbell
Jul 18, 2014·American Journal of Public Health·Erin P FinleyMary Jo V Pugh
Oct 14, 2014·The Journal of Head Trauma Rehabilitation·Rachel Sayko AdamsThomas V Williams
Feb 24, 2015·Journal of Traumatic Stress·Sara M LippaRegina E McGlinchey
Apr 1, 2015·PloS One·Zhi-Qiang CaiZhi-Min Geng
Jul 9, 2016·PloS One·Zsolt ZadorAndrew T King
Nov 12, 2016·Brain Injury : [BI]·Mary Jo PughUNKNOWN TRACC Research Team
Jun 27, 2017·Archives of Physical Medicine and Rehabilitation·Mary Jo PughUNKNOWN Trajectories of Resilience and Complex Comorbidity Study Team
Oct 4, 2017·Operative Neurosurgery·Zsolt ZadorMichael T Lawton
Jan 1, 2017·Methods of Information in Medicine·Adel AlaeddiniMary J Pugh
Citations
Jun 20, 2020·JMIR Medical Informatics·Syed Hasib Akhter FaruquiMary Jo Pugh
Jan 23, 2020·International Journal of Environmental Research and Public Health·Md Ekramul HossainMohammad Ali Moni
Jan 14, 2019··Arif khanMd Ekramul Hossain