11 Result(s)
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Chapter and Conference Paper
Comparision of Models Built Using AutoML and Data Fusion
Automated machine learning (AutoML) has made life easier for data analysts or scientists by providing quick insights into data by building machine learning (ML) models. AutoML techniques are applied to vast ar...
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Chapter
An Approach to Combining Adherence-to-Therapy and Patient Preference Models for Evaluation of Therapies in Patient-Centered Care
Adherence to therapy is one of the major determinants of therapy success, while non-adherence leads to worsening of patient condition and increased healthcare costs. The aim of our work is to evaluate therapie...
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Chapter and Conference Paper
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets
In healthcare domains, dealing with missing data is crucial since absent observations compromise the reliability of decision support models. K-nearest neighbours imputation has proven beneficial since it takes...
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Chapter and Conference Paper
Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures
Clinical data is characterized not only by its constantly increasing volume but also by its diversity. Information collected in clinical information systems such as electronic health records is highly heteroge...
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Chapter and Conference Paper
Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines
Computer-interpretable implementations of clinical guidelines (CIGs) add knowledge that is outside the scope of the original guideline. This knowledge can customize CIGs to patients’ psycho-social context or a...
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Chapter and Conference Paper
Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines
There is a pressing need in clinical practice to mitigate (identify and address) adverse interactions that occur when a comorbid patient is managed according to multiple concurrently applied disease-specific c...
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Chapter and Conference Paper
A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity
This paper describes a novel methodological approach to identifying inconsistencies when concurrently using multiple clinical practice guidelines. We discuss how to construct a formal guideline model using Con...
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Chapter and Conference Paper
Classifying Severely Imbalanced Data
Learning from data with severe class imbalance is difficult. Established solutions include: under-sampling, adjusting classification threshold, and using an ensemble. We examine the performance of combining th...
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Chapter and Conference Paper
Selective Pre-processing of Imbalanced Data for Improving Classification Performance
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective pre-processing of imbalanced data which combines local over-sampling of the minority ...
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Chapter and Conference Paper
A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care
The goal of evidence-based medicine is to uniformly apply evidence gained from scientific research to aspects of clinical practice. In order to achieve this goal, new applications that integrate increasingly d...
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Chapter and Conference Paper
Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data
Retrospective clinical data presents many challenges for data mining and machine learning. The transcription of patient records from paper charts and subsequent manipulation of data often results in high volum...
