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Comprehensive decision tree models in bioinformatics

PloS one, 2012-03, Vol.7 (3), p.e33812-e33812

2012

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Data-driven approach for tailoring facilitation strategies to overcome implementation barriers in community pharmacy

Implementation science : IS, 2021-07, Vol.16 (1), p.73-73, Article 73

2021

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Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records

PeerJ (San Francisco, CA), 2018-10, Vol.6, p.e5765-e5765, Article e5765

2018

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Exploring biomedical ontology mappings with graph theory methods

PeerJ (San Francisco, CA), 2017-03, Vol.5, p.e2990-e2990, Article e2990

2017

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Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models

Journal of personalized medicine, 2022-02, Vol.12 (3), p.368

2022

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Extracting Disease-Phenotype Relations from Text with Disease-Phenotype Concept Recognisers and Association Rule Mining

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017, p.358-363

2017

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Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources

Journal of biomedical informatics, 2016-12, Vol.64, p.158-167

2016

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Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients

Neural Information Processing, p.624-632

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The Cancer Care Treatment Outcomes Ontology (CCTO): A computable ontology for profiling treatment outcomes of patients with solid tumors

Journal of clinical oncology, 2017-05, Vol.35 (15_suppl), p.e18137-e18137

2017

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Identifying determinants of quality of life in patients undergoing systemic therapy for solid tumors

Journal of clinical oncology, 2017-05, Vol.35 (15_suppl), p.6596-6596

2017

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Cancer Care Treatment Outcome Ontology: A Novel Computable Ontology for Profiling Treatment Outcomes in Patients With Solid Tumors

JCO clinical cancer informatics, 2018-12 (2), p.1-14

2018

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Automated Machine Learning Techniques in Prognostics of Railway Track Defects

2019 International Conference on Data Mining Workshops (ICDMW), 2019, p.777-784

2019

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BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains

Journal of biomedical semantics, 2014-02, Vol.5 (1), p.5-5

2014

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AGRA: analysis of gene ranking algorithms

Bioinformatics, 2011-04, Vol.27 (8), p.1185-1186

2011

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Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem

2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 2010, p.50-55

2010

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Unsupervised variance based preprocessing of microarray data

2009 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009, p.1-4

2009

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Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007

2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008, p.138-143

2008

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Discovering new knowledge with advanced data mining tool

Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007, p.408-410

2007

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A Data-Driven Framework for Improving Clinical Managements of Severe Paralytic Ileus in ICU: From Path Discovery, Model Generation to Validation

Explainable Artificial Intelligence and Process Mining Applications for Healthcare, p.87-94

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Comprehensive decision tree models in bioinformatics

Data-driven approach for tailoring facilitation strategies to overcome implementation barriers in community pharmacy

Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records

Exploring biomedical ontology mappings with graph theory methods

Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models

Extracting Disease-Phenotype Relations from Text with Disease-Phenotype Concept Recognisers and Association Rule Mining

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources

Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients

The Cancer Care Treatment Outcomes Ontology (CCTO): A computable ontology for profiling treatment outcomes of patients with solid tumors

Identifying determinants of quality of life in patients undergoing systemic therapy for solid tumors

Cancer Care Treatment Outcome Ontology: A Novel Computable Ontology for Profiling Treatment Outcomes in Patients With Solid Tumors

Automated Machine Learning Techniques in Prognostics of Railway Track Defects

BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains

AGRA: analysis of gene ranking algorithms

Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem

Unsupervised variance based preprocessing of microarray data

Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007

Discovering new knowledge with advanced data mining tool

A Data-Driven Framework for Improving Clinical Managements of Severe Paralytic Ileus in ICU: From Path Discovery, Model Generation to Validation

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