Results 201 to 210 of about 394,931 (262)

Comparing Causal Bayesian Networks Estimated from Data. [PDF]

Entropy (Basel)
Ma S, Tourani R.
europepmc   +1 more source

Population pharmacokinetics and dose–response relationships of mitoxantrone in children with acute myeloid leukaemia

British Journal of Clinical Pharmacology, EarlyView.
Background Information on mitoxantrone pharmacokinetics in children is lacking and reduced dosing regimens applied to infants are supported by limited scientific rationale. The current study characterized mitoxantrone pharmacokinetics in a childhood acute myeloid leukaemia patient population and provides a data‐informed assessment of dosing.
Andrew M. Brandon, Hinke Huisman‐Siebinga, Shelby Barnett, Paul Wetherell, Pamela Kearns, Brenda Gibson, Nicholas Heaney, Owen Smith, André Baruchel, Arnaud Petit, Andrew Moore, Kayode Ogungbenro, Alwin D. R. Huitema, Gareth J. Veal   +13 more
wiley   +1 more source

Exploring coral reef communities in Puerto Rico using Bayesian networks. [PDF]

Ecol Inform
Carriger JF, Fisher WS.
europepmc   +1 more source

Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu, Zihan Qin, Logan S. Smith, Jeong M. Park, Hao‐Jie Zhu   +4 more
wiley   +1 more source

Bayesian networks may allow better performance and usability than logistic regression. [PDF]

Crit Care
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Yet B, Marsh W, Perkins ZB, Tai NRM.   +7 more
europepmc   +1 more source

Representing core gene expression activity relationships using the latent structure implicit in Bayesian networks. [PDF]

Bioinformatics
Gao J, Gerstein M.
europepmc   +1 more source

Data-driven risk analysis of nonlinear factor interactions in road safety using Bayesian networks. [PDF]

Sci Rep
Carrodano C.
europepmc   +1 more source

Inferring skin-brain-skin connections from infodemiology data using dynamic Bayesian networks. [PDF]

Sci Rep
Scutari M, Kerob D, Salah S.
europepmc   +1 more source

Integrating Deep Learning-Based Dose Distribution Prediction with Bayesian Networks for Decision Support in Radiotherapy for Upper Gastrointestinal Cancer. [PDF]

Cancer Res Treat
Kim DY, Jang BS, Kim E, Chie EK.
europepmc   +1 more source