Results 221 to 230 of about 725,754 (336)
A Markov Model Unveiling the Impact of Resmetirom on the Natural History of MASLD Patients: A Sistematic Review and Meta-Analysis. [PDF]
Pennisi G +13 more
europepmc +1 more source
A hidden Markov model approach to neuron firing patterns
Anne‐Claude Camproux +4 more
openalex +1 more source
The value of uACR. CKD, chronic kidney disease; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; uACR, urine albumin‐to‐creatinine ratio. Abstract The high disease burden and bidirectional relationship of chronic kidney disease (CKD), heart failure (HF) and other cardiovascular disease (CVD) necessitate the need for early ...
Biykem Bozkurt +2 more
wiley +1 more source
Cost-Effectiveness of the Tailored Activity Programme for Person With Dementia-Caregiver Dyads: A Markov Model. [PDF]
Gannon B, Vo V, Gitlin LN, Bennett S.
europepmc +1 more source
End-stage renal disease projections for Canada to 2005 using Poisson and Markov models
Douglas E. Schaubel +4 more
openalex +1 more source
FERRIC‐HF II molecular substudy. FDI, ferric derisomaltose. Aims Skeletal muscle energetic augmentation might be a mechanism via which intravenous iron improves symptoms in heart failure, but no direct measurement of intrinsic mitochondrial function has been performed to support this notion.
Mohamad F. Barakat +16 more
wiley +1 more source
Modelling dynamic transitions in neurological functional disability in patients with intracerebral haemorrhage: a prospective cohort study using a multistate Markov model. [PDF]
Liu M +13 more
europepmc +1 more source
Invariant normal models with recursive graphical Markov structure [PDF]
Jesper Madsen
openalex +1 more source
Augmenting Neural Networks With Time‐Varying Weights
ABSTRACT In the macroeconomic forecasting community, there is increasing interest in machine learning methods that can extract nonlinear predictive content from large datasets with a high number of predictors. Meanwhile, time‐varying parameter (TVP) models are known to flexibly model time series by allowing regression coefficients to vary over time ...
William Rudd +2 more
wiley +1 more source

