DPVis : Visual Analytics with Hidden Markov Models for Disease Progression Pathways

Lundgren, Markus (author): Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Department of Clinical Sciences, Malmö,Faculty of Medicine

(creator_code:org_t)

2021
2021
English 16 s.
In: IEEE Transactions on Visualization and Computer Graphics. - 1077-2626. ; 27:9, s. 3685-3700

Related links:: http://dx.doi.org/10...; show more...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Abstract Subject headings

Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease progression modeling is to describe patient status using a small number of states that represent distinctive distributions over a set of observed measures. Hidden Markov models (HMMs) and its variants are a class of models that both discover these states and make inferences of health states for patients. Despite the advantages of using the algorithms for discovering interesting patterns, it still remains challenging for medical experts to interpret model outputs, understand complex modeling parameters, and clinically make sense of the patterns. To tackle these problems, we conducted a design study with clinical scientists, statisticians, and visualization experts, with the goal to investigate disease progression pathways of chronic diseases, namely type 1 diabetes (T1D), Huntington's disease, Parkinson's disease, and chronic obstructive pulmonary disease (COPD). As a result, we introduce DPVis which seamlessly integrates model parameters and outcomes of HMMs into interpretable and interactive visualizations. In this study, we demonstrate that DPVis is successful in evaluating disease progression models, visually summarizing disease states, interactively exploring disease progression patterns, and building, analyzing, and comparing clinically relevant patient subgroups.

MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Allmänmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- General Practice (hsv//eng)

By the author/editor: Kwon, Bum Chul; Anand, Vibha; Severson, Kriste ...; Ghosh, Soumya; Sun, Zhaonan; Frohnert, Brigit ...; show more...; Lundgren, Markus; Ng, Kenney; show less...

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Medical Biotechn ...; and Biomedical Labor ...

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and General Practice

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