Cargando…

Mixture density networks for the indirect estimation of reference intervals

BACKGROUND: Reference intervals represent the expected range of physiological test results in a healthy population and are essential to support medical decision making. Particularly in the context of pediatric reference intervals, where recruitment regulations make prospective studies challenging to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hepp, Tobias, Zierk, Jakob, Rauh, Manfred, Metzler, Markus, Seitz, Sarem
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336034/ https://www.ncbi.nlm.nih.gov/pubmed/35906555 http://dx.doi.org/10.1186/s12859-022-04846-0

Ejemplares similares

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources
por: Hepp, Tobias, et al.
Publicado: (2020)

Reference Interval Estimation from Mixed Distributions using Truncation Points and the Kolmogorov-Smirnov Distance (kosmic)
por: Zierk, Jakob, et al.
Publicado: (2020)

refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data
por: Ammer, Tatjana, et al.
Publicado: (2021)

A pipeline for the fully automated estimation of continuous reference intervals using real-world data
por: Ammer, Tatjana, et al.
Publicado: (2023)

Indirect determination of serum creatinine reference intervals in a Pakistani pediatric population using big data analytics
por: Ahmed, Sibtain, et al.
Publicado: (2021)

Influence of Turkish origin on hematology reference intervals in the German population
por: Mayr, Franz X., et al.
Publicado: (2021)

Indirect Method for Estimation of Reference Intervals of Inflammatory Markers
por: Kang, Taewon, et al.
Publicado: (2023)

Pharmacokinetic–pharmacodynamic modeling of maintenance therapy for childhood acute lymphoblastic leukemia
por: Gebhard, Anna, et al.
Publicado: (2023)

Model-Based Simulation of Maintenance Therapy of Childhood Acute Lymphoblastic Leukemia
por: Jost, Felix, et al.
Publicado: (2020)

Indirect reference intervals using an R pipeline
por: Bunch, Dustin R.
Publicado: (2022)

Indirect estimation of reference intervals for thyroid parameters using advia centaur XP analyzer
por: Mirjanić-Azarić, Bosa, et al.
Publicado: (2022)

Indirect determination of biochemistry reference intervals using outpatient data
por: Martinez-Sanchez, Luisa, et al.
Publicado: (2022)

Reference intervals for thyroid disorders calculated by indirect method and comparison with reference change values
por: Yildiz, Zeynep, et al.
Publicado: (2022)

Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population
por: Velev, Julian, et al.
Publicado: (2023)

Establishment of thromboelastography reference intervals by indirect method and relevant factor analyses
por: Cheng, Daye, et al.
Publicado: (2020)

Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
por: Pop, Marian, et al.
Publicado: (2023)

Indirect reference intervals for haematological parameters in capillary blood of pre-school children
por: Zeljkovic, Aleksandra, et al.
Publicado: (2021)

Effects of Using Different Indirect Techniques on the Calculation of Reference Intervals: Observational Study
por: Yang, Dan, et al.
Publicado: (2023)

Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
por: Martinez-Sanchez, Luisa, et al.
Publicado: (2020)

Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study
por: Yan, Ruohua, et al.
Publicado: (2022)

Resampling methods in Microsoft Excel® for estimating reference intervals
por: Theodorsson, Elvar
Publicado: (2015)

Folate reference interval estimation in the Dutch general population
por: Vos, Michel J., et al.
Publicado: (2019)

Establishing laboratory-specific reference intervals for TSH and fT4 by use of the indirect Hoffman method
por: Płaczkowska, Sylwia, et al.
Publicado: (2022)

The indirect method in the establishment of reference intervals for complement 3 and complement 4: A retrospective study
por: Chai, Jiatong, et al.
Publicado: (2021)

Temporal evolution and differential patterns of cellular reconstitution after therapy for childhood cancers
por: Hofmann, Gina, et al.
Publicado: (2023)

An Improved Mixture Density Network for 3D Human Pose Estimation with Ordinal Ranking
por: Wu, Yiqi, et al.
Publicado: (2022)

Distributed Density Estimation Based on a Mixture of Factor Analyzers in a Sensor Network
por: Wei, Xin, et al.
Publicado: (2015)

Direct Estimation of Reference Intervals for Thyroid Parameters in the Republic of Srpska
por: Mirjanic-Azaric, Bosa, et al.
Publicado: (2017)

Pixel cluster splitting with Mixture Density Network
por: Khoda, Elham E
Publicado: (2019)

Differentially private density estimation with skew-normal mixtures model
por: Wu, Weisan
Publicado: (2021)

Age-dependent reference intervals for estimated and measured glomerular filtration rate
por: Pottel, Hans, et al.
Publicado: (2017)

Verification of Reference Interval of Thyroid Hormones With Manual and Automated Indirect Approaches: Comparison of Hoffman, KOSMIC and refineR Methods
por: Agaravatt, Ashishkumar, et al.
Publicado: (2023)

Characterization and diagnostic application of genomic NPM-ALK fusion sequences in anaplastic large-cell lymphoma
por: Krumbholz, Manuela, et al.
Publicado: (2018)

Mixture Density Networks for tracking in dense environments on ATLAS
por: Khoda, Elham E
Publicado: (2020)

Estimating Uncertainty Intervals from Collaborating Networks
por: Zhou, Tianhui, et al.
Publicado: (2021)

Reference Intervals: Practical Aspects
por: Horowitz, Gary L.
Publicado: (2008)

ATLAS pixel cluster splitting using Mixture Density Networks
por: Khoda, Elham E
Publicado: (2019)

Reference intervals established using indirect method for serum ferritin assayed on Abbott Architect i2000(SR) analyzer in Chinese adults
por: Wang, Qing‐ping, et al.
Publicado: (2019)

Penalized likelihood estimation of a mixture cure Cox model with partly interval censoring—An application to thin melanoma
por: Webb, Annabel, et al.
Publicado: (2022)

Identifying Mixtures of Mixtures Using Bayesian Estimation
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_i2j6efn710o1p60getf8b190o7