Advances in Intelligent Data Analysis XIX
19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings
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Pedro Pereira Rodrigues
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Article
Open AccessEvaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models
This study focused on comparing distributed learning models with centralized and local models, assessing their efficacy in predicting specific delivery and patient-related outcomes in obstetrics using real-wor...
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Article
Open AccessImproving the quality of life of parents of patients with congenital abnormalities using psychoeducational interventions: a systematic review
To identify psychoeducational interventions that target parents of children with congenital abnormalities (CA) and evaluate their impact on quality of life (QoL).
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Chapter and Conference Paper
Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation
Missing data can be described by the absence of values in a dataset, which can be a critical issue in domains such as healthcare. A common solution for this problem is imputation, where the missing values are ...
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Chapter and Conference Paper
Siamese Autoencoder-Based Approach for Missing Data Imputation
Missing data is an issue that can negatively impact any task performed with the available data and it is often found in real-world domains such as healthcare. One of the most common strategies to address this ...
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Article
Quality of life of parents with children with congenital abnormalities: a systematic review with meta-analysis of assessment methods and levels of quality of life
To quantify and understand how to assess the quality of life and health-related QoL of parents with children with congenital abnormalities.
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Book and Conference Proceedings
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Chapter and Conference Paper
GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy
Data is a major asset in today’s healthcare scenery. Hospitals are one of the primary producers of healthcare-related data and the value this data can provide is enormous. However, to use this to improve heal...
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Book and Conference Proceedings
Artificial Intelligence in Medicine
19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings
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Article
Open AccessDetermining the prevalence of palliative needs and exploring screening accuracy of depression and anxiety items of the integrated palliative care outcome scale – a multi-centre study
patients with palliative needs often experience high symptom burden which causes suffering to themselves and their families. Depression and psychological distress should not be considered a “normal event” in a...
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Article
Open AccessCorrection to: A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches
The body of Table 3 had been missing in the HTML version of the original article.
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Article
Open AccessA clinical risk matrix for obstructive sleep apnea using Bayesian network approaches
In obstructive sleep apnea, respiratory effort is maintained but ventilation decreases/disappears due to upper-airway partial/total occlusion. This condition affects about 4% of men and 2% of women worldwide. ...
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Chapter and Conference Paper
MNAR Imputation with Distributed Healthcare Data
Missing data is a problem found in real-world datasets that has a considerable impact on the learning process of classifiers. Although extensive work has been done in this field
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Article
Open AccessThree controversies in health data science
The routine operation of modern healthcare systems produces a wealth of data in electronic health records, administrative databases, clinical registries, and other clinical systems. It is widely acknowledged t...
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Chapter and Conference Paper
Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach
In pharmacovigilance, reported cases are considered suspected adverse drug reactions (ADR). Health authorities have thus adopted structured causality assessment methods, allowing the evaluation of the likeliho...
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Article
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
Knowledge discovery on biomedical data can be based on on-line, data-stream analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in the processes that generate data or in th...
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Book and Conference Proceedings
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II
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Book and Conference Proceedings
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I
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Chapter and Conference Paper
Predicting Within-24h Visualisation of Hospital Clinical Reports Using Bayesian Networks
Clinical record integration and visualisation is one of the most important abilities of modern health information systems (HIS). Its use on clinical encounters plays a relevant role in the efficacy and efficie...
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Article
Open AccessAnalysis of the quality of hospital information systems audit trails
Audit Trails (AT) are fundamental to information security in order to guarantee access traceability but can also be used to improve Health information System’s (HIS) quality namely to assess how they are used ...
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Article
On evaluating stream learning algorithms
Most streaming decision models evolve continuously over time, run in resource-aware environments, and detect and react to changes in the environment generating data. One important issue, not yet convincingly a...
