Development and Evaluation of a Similarity Measure for Medical Event Sequences

Mannino, Michael V.; Fredrickson, Joel; Banaei-Kashani, Farnoush; Linck, Iris Corrêa das Chagas; Raghda, Raghda Alqurashi

doi:10.1145/3070684

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…used in a wide variety of applications areas, such as data mining [31], face recognition [32][33][34], image classification [35], medical engineering [36], and human behavior analysis [37]. Maintenance tasks are usually performed by maintenance staff; so, similarity searches for maintenance tasks fall under the remit of human behavior analysis.…”

Section: Literature Review Similarity Search Methods Have Beenmentioning

confidence: 99%

A Maintenance Task Similarity-Based Prior Elicitation Method for Bayesian Maintainability Demonstration

Jian-ping

2020

Mathematical Problems in Engineering

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Prior distribution elicitation is a challenging problem for a Bayesian inference-based mean time to repair (MTTR) demonstration because if inaccurate prior information is introduced into the prior distribution, the results become unreliable. This paper proposes a novel maintenance task representation model based on the similarity of attributed maintenance items. A novel similarity computation algorithm for maintenance tasks is then formulated on the basis of this model. Optimistic and pessimistic values are ascertained from the time data for similar maintenance tasks to obtain a prior distribution. The main idea is to separate maintenance tasks into distinct items and use attribute sets to extract key features. Each pair of items is then compared to quantify the differences between reference and candidate tasks. Candidate tasks with an acceptable difference from the reference task are taken as prior information sources for constructing the prior distribution. A case study involving a high-frequency (HF) transceiver MTTR Bayesian demonstration shows that the proposed method can effectively obtain maintenance tasks similar to those of information sources for prior distribution elicitation.

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Section: Literature Review Similarity Search Methods Have Beenmentioning

confidence: 99%

A Maintenance Task Similarity-Based Prior Elicitation Method for Bayesian Maintainability Demonstration

Jian-ping

2020

Mathematical Problems in Engineering

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“…Methodological research has been carried out on these bases to develop sequence similarity measures for clustering. 8,9 These sequence clustering techniques have already been used to identify typical healthcare trajectories after bariatric surgery 10 or typical treatment sequences in ambulatory care for patients with HF. 11 Predicting the mortality rate of HF is necessary for clinicians to make optimal decisions during the therapeutic process.…”

Section: Introductionmentioning

confidence: 99%

Cardiovascular disease healthcare trajectories: descriptions, similarities, mortality rates of heart failure in France

Nevoret,

Tran,

Guendouz

et al. 2024

ESC Heart Failure

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AimsThe primary objectives of this study were to analyse the nationwide healthcare trajectories of heart failure (HF) patients in France, 2 years after their first hospitalization, and to measure sequence similarities. Secondary objectives were to identify the association between trajectories and the risk of mortality.Methods and resultsA retrospective, observational study was conducted using data extracted from the Echantillon Généraliste des Bénéficiaires database, covering the period from 1 January 2008 to 31 December 2018. Follow‐up concluded upon death or at the end of the study. We developed a methodology specific to healthcare data by extracting frequent healthcare trajectories and measuring their similarity for use in a survival machine learning analysis. In total, 11 488 HF patients were included and followed up for an average of 2.9 ± 1.3 years. The mean age of the patients was 78.0 ± 13.2 years. The first‐year mortality rate was 31.7% and increased to 78.8% at 5 years. Fifty per cent of patients experienced re‐hospitalization for reasons related to cardiovascular diseases. We identified 1707 hospitalization sequences, and 21 sequences were associated with survival, while 15 sequences were linked to mortality. In all our models, age and gender emerged as the most significant predictors of mortality (permutation feature importance: 0.099 ± 0.00078 and 0.0087 ± 0.00018, respectively; weights could be interpreted in relative terms). Specifically, the age at initial hospitalization for HF was positively associated with mortality. Gender (male: 49.5%) was associated with poorer prognoses. Healthcare trajectories, including non‐surgical device treatments, valve replacements, and atrial fibrillation ablation, were associated with a better prognosis (permutation feature importance: 0.0047 ± 0.00011, 0.0014 ± 0.000073, and 0.00095 ± 0.000097, respectively), except in cases where these invasive treatments preceded or followed hospitalization for cardiac decompensation. The predominant negative prognosis sequences were mostly those that included HF‐related hospitalizations before or after other‐related hospitalizations (permutation feature importance: 0.0007 ± 0.000091 and 0.00011 ± 0.000045, respectively).ConclusionsWe highlight the value of healthcare trajectories on frequent hospitalization sequences, mortality, and prognosis and indicate the necessary prognostic value of HF re‐hospitalization. Our work may be an essential tool for better identification of at‐risk patients in order to increase and improve personalized care in the future.

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Using similarity measures for medical event sequences to predict mortality in trauma patients

Fredrickson

Mannino

Alqahtani

et al. 2019

Decision Support Systems

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Development and Evaluation of a Similarity Measure for Medical Event Sequences

Cited by 3 publications

References 20 publications

A Maintenance Task Similarity-Based Prior Elicitation Method for Bayesian Maintainability Demonstration

A Maintenance Task Similarity-Based Prior Elicitation Method for Bayesian Maintainability Demonstration

Cardiovascular disease healthcare trajectories: descriptions, similarities, mortality rates of heart failure in France

Using similarity measures for medical event sequences to predict mortality in trauma patients

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