Bioinformatics and biomedical engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings. / Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño, editors.

Author/creator IWBBIO (Conference)
Format Electronic
PublicationCham : Springer, 2023.
Description1 online resource (xxix, 508 pages) : illustrations (some color).
Supplemental ContentClick here to view book
Subjects
Bioinformatics--Congresses.
Biomedical engineering--Congresses.

Other author/creatorRojas, Ignacio, editor. https://orcid.org/0000-0002-1033-5635
Other author/creatorValenzuela, Olga, editor. https://orcid.org/0000-0001-6034-9392
Other author/creatorRojas Ruiz, Fernando, editor. https://orcid.org/0000-0002-4377-6744
Other author/creatorHerrera, Luis Javier, editor. https://orcid.org/0000-0003-3220-9389
Other author/creatorOrtuño, Francisco (Francisco Manuel), editor. https://id.oclc.org/worldcat/entity/E39PCjycqDH4xQ9MB9YQFm88JC https://orcid.org/0000-0001-7424-1753
Variant title IWBBIO 2023
SeriesLecture notes in bioinformatics, 2366-6331 ; 13920
Lecture notes in computer science ; 13920
LNCS sublibrary. SL 8, Bioinformatics
Lecture notes in computer science. Lecture notes in bioinformatics. ^A691526
Lecture notes in computer science ; 13920. ^A466336
LNCS sublibrary. SL 8, Bioinformatics. ^A1481019
Contents Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Feature Selection, Extraction, and Data Mining in Bioinformatics -- Agent Based Modeling of Fish Shoal Behavior -- 1 Introduction -- 2 Modeling -- 3 Methods -- 3.1 Multi agents Based Modeling and Simulation -- 4 Results and Discussion -- References -- Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation -- 1 Introduction -- 1.1 Biotelemetry -- 1.2 Fish Welfare -- 2 Dataset -- 3 Methods -- 4 Results -- 5 Conclusion -- References
Contents Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Set -- 2.2 Image Pre-processing -- 2.3 Feature Extraction -- 2.4 Data Pre-processing and Resampling -- 2.5 Feature Selection -- 2.6 Model Training and Evaluation -- 3 Results -- 3.1 Data Pre-processing and Resampling -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Performance Evaluation -- 4 Discussion -- 5 Conclusion -- References -- MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model
Contents 1 Introduction -- 2 Methodology -- 2.1 MetaLLM: Residue-Wise Metal Ion Prediction -- 3 Experiments and Results -- 3.1 Experimental Details -- 3.2 Result Analysis -- 4 Conclusion -- References -- Genome-Phenome Analysis -- Prediction of Functional Effects of Protein Amino Acid Mutations -- 1 Introduction -- 2 Methods -- 2.1 nsSNV Datasets -- 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm -- 2.3 Consensus Holdout Training and Selection -- 2.4 Extreme Learning Machine -- 2.5 Random Forests -- 3 Results -- 4 Conclusions and Future Directions -- References
Contents Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach -- 1 Introduction -- 2 Background -- 3 Methods -- 3.1 Reference -- 3.2 Dataset -- 3.3 Quality and Control -- 3.4 Pipeline -- 3.5 Workflow Management and Reproducibility -- 3.6 Benchmarking -- 3.7 Computational Resources -- 4 Results -- 4.1 Different Methods Performance -- 4.2 Computational Time -- 5 Discussion -- 6 Conclusion -- References -- Healthcare and Diseases -- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions -- 1 Introduction -- 2 Methods -- 2.1 Study Design
Contents 2.2 Search Strategy -- 2.3 Inclusion Criteria -- 2.4 Selection of Studies -- 2.5 Data Analysis -- 3 Result -- 4 Discussion -- 4.1 The Development of Monitoring Devices for Fetal Well-Being -- 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering -- 4.3 Fetal Well-Being Indicators -- 4.4 Target Users -- 5 Conclusion -- References -- Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Dataset Construction -- 3.3 Data Pre-processing -- 3.4 Proposed LSTM Model
Abstract This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.
General noteIncludes author index.
Source of descriptionOnline resource; title from PDF title page (SpringerLink, viewed July 5, 2023).
Issued in other formPrint version: Rojas, Ignacio Bioinformatics and Biomedical Engineering Cham : Springer International Publishing AG,c2023 9783031349591
Genre/formproceedings (reports)
Genre/formConference papers and proceedings.
Genre/formConference papers and proceedings.
Genre/formActes de congrès.
ISBN9783031349607 (electronic bk.)
ISBN3031349601 (electronic bk.)
Standard identifier# 10.1007/978-3-031-34960-7

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