Cargando…

Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools

Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morphology. QT interval and its modification are the m...

Descripción completa

Detalles Bibliográficos
Autores principales:	Polak, Sebastian, Wiśniowska, Barbara, Mendyk, Aleksander, Pacławski, Adam, Szlęk, Jakub
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817210/ https://www.ncbi.nlm.nih.gov/pubmed/29531576 http://dx.doi.org/10.1155/2018/3719703

Ejemplares similares

Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity
por: Czub, Natalia, et al.
Publicado: (2023)

Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor
por: Czub, Natalia, et al.
Publicado: (2021)

Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT(1A) Receptor Case
por: Czub, Natalia, et al.
Publicado: (2022)

From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming
por: Mendyk, Aleksander, et al.
Publicado: (2015)

Heuristic modeling of macromolecule release from PLGA microspheres
por: Szlęk, Jakub, et al.
Publicado: (2013)

Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations
por: Pacławski, Adam, et al.
Publicado: (2015)

Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs
por: Szlęk, Jakub, et al.
Publicado: (2022)

Computational Intelligence Modeling of the Macromolecules Release from PLGA Microspheres—Focus on Feature Selection
por: Zawbaa, Hossam M., et al.
Publicado: (2016)

Computational intelligence models to predict porosity of tablets using minimum features
por: Khalid, Mohammad Hassan, et al.
Publicado: (2017)

The Role of Interaction Model in Simulation of Drug Interactions and QT Prolongation
por: Wiśniowska, Barbara, et al.
Publicado: (2016)

The open-access dataset for insilico cardiotoxicity prediction system
por: Polak, Sebastian, et al.
Publicado: (2011)

Effect of roll compaction on granule size distribution of microcrystalline cellulose–mannitol mixtures: computational intelligence modeling and parametric analysis
por: Kazemi, Pezhman, et al.
Publicado: (2017)

Physiologically based pharmacokinetic-quantitative systems toxicology and safety (PBPK-QSTS) modeling approach applied to predict the variability of amitriptyline pharmacokinetics and cardiac safety in populations and in individuals
por: Tylutki, Zofia, et al.
Publicado: (2018)

Drug-drug interactions and QT prolongation as a commonly assessed cardiac effect - comprehensive overview of clinical trials
por: Wiśniowska, Barbara, et al.
Publicado: (2016)

Application and Multi-Stage Optimization of Daylight Polymer 3D Printing of Personalized Medicine Products
por: Pyteraf, Jolanta, et al.
Publicado: (2022)

An open-access data set of pig skin anatomy and physiology for modelling purposes
por: Krumpholz, Laura, et al.
Publicado: (2022)

The Measurement of the QT Interval
por: Postema, Pieter G, et al.
Publicado: (2014)

The QT Interval in Research
por: Somberg, John
Publicado: (2021)

Effect of QT interval-prolonging drugs taken in pregnancy on the neonatal QT interval
por: Michel, Holger, et al.
Publicado: (2023)

Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests—How Does the Infotechnomics Compare to Other “Omics” in the Cosmetics Safety Assessment?
por: Kalicińska, Jadwiga, et al.
Publicado: (2023)

Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems
por: Mendyk, Aleksander, et al.
Publicado: (2020)

Issues in QT interval measurement
por: Lanjewar, Pallavi, et al.
Publicado: (2004)

Measuring the QT interval on the go
por: McIntyre, William F., et al.
Publicado: (2021)

Manual vs. automatic assessment of the QT-interval and corrected QT
por: Neumann, Benjamin, et al.
Publicado: (2023)

Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks
por: Mendyk, Aleksander, et al.
Publicado: (2013)

Effects of Antipsychotics on Arrhythmogenic Parameters in Schizophrenia Patients: Beyond Corrected QT Interval
por: Okayasu, Hiroaki, et al.
Publicado: (2021)

A Study of QT Interval and QT Dispersion During Laparoscopic Cholecystectomy
por: Parikh, Heena, et al.
Publicado: (2009)

Beyond a prolonged QT interval
por: Bitar, Zouheir Ibrahim, et al.
Publicado: (2013)

QT interval in CKD and haemodialysis patients
por: Di Iorio, Biagio, et al.
Publicado: (2013)

Repolarization Heterogeneity: Beyond the QT Interval
por: Prenner, Stuart B., et al.
Publicado: (2016)

Effects of hydroxychloroquine treatment on QT interval
por: Hooks, Matthew, et al.
Publicado: (2020)

Hydroxychloroquine-associated QT interval prolongation
Publicado: (2020)

QT Interval and QT Dispersion in Patients Undergoing Hemodialysis: Revisiting the Old Theory
por: Alabd, Mohamed A., et al.
Publicado: (2011)

Assessment of Corrected QT Interval and QT Dispersion in Patients with Uncomplicated Metabolic Syndrome
por: Kaur, Amandeep, et al.
Publicado: (2023)

Tox-Database.net: a curated resource for data describing chemical triggered in vitro cardiac ion channels inhibition
por: Polak, Sebastian, et al.
Publicado: (2012)

Investigation of the Proarrhythmic Effects of Antidepressants according to QT Interval, QT Dispersion and T Wave Peak-to-End Interval in the Clinical Setting
por: Okayasu, Hiroaki, et al.
Publicado: (2019)

QT Interval Prolongation in Patients with Systemic Sclerosis—Are the Holter ECG Recordings a Better Option for QT Interval Evaluation?
por: Saramet, Elena E., et al.
Publicado: (2021)

Individualized QT interval (QTi) is a powerful diagnostic tool in long QT syndrome: results from a large validation study
por: Robyns, Tomas, et al.
Publicado: (2023)

Top-down, Bottom-up and Middle-out Strategies for Drug Cardiac Safety Assessment via Modeling and Simulations
por: Tylutki, Zofia, et al.
Publicado: (2016)

Humans Vary, So Cardiac Models Should Account for That Too!
por: Wiśniowska, Barbara, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_345m4cqmuvpf78ot2tlpc28a4h