Articles with "predictions using" as a keyword



Photo by cokdewisnu from unsplash

Utility of radiomic zones for risk classification and clinical outcome predictions using supervised machine learning during simultaneous 11 C-choline PET/MRI acquisition in prostate cancer patients.

Sign Up to like & get
recommendations!
Published in 2021 at "Medical physics"

DOI: 10.1002/mp.15064

Abstract: PURPOSE In most radiomic studies related to cancer research, the traditional tumor-centric view has predominated. In this retrospective study, we go beyond the single tumor region and investigate the utility of proposed radiomic zones for… read more here.

Keywords: radiomic zones; predictions using; machine learning; risk classification ... See more keywords
Photo from archive.org

Model-free isothermal and nonisothermal predictions using advanced isoconversional methods

Sign Up to like & get
recommendations!
Published in 2021 at "Thermochimica Acta"

DOI: 10.1016/j.tca.2020.178855

Abstract: Abstract Four complex mechanisms of two parallel independent reactions were simulated under various isothermal and nonisothermal conditions. Equations to perform isothermal predictions and nonisothermal simulations at a different temperature program are presented, based on the… read more here.

Keywords: isothermal nonisothermal; predictions using; nonisothermal predictions; isoconversional methods ... See more keywords
Photo by benceboros from unsplash

Explainable haemoglobin deferral predictions using machine learning models: Interpretation and consequences for the blood supply

Sign Up to like & get
recommendations!
Published in 2022 at "Vox Sanguinis"

DOI: 10.1111/vox.13350

Abstract: Accurate predictions of haemoglobin (Hb) deferral for whole‐blood donors could aid blood banks in reducing deferral rates and increasing efficiency and donor motivation. Complex models are needed to make accurate predictions, but predictions must also… read more here.

Keywords: deferral predictions; predictions using; haemoglobin deferral; explainable haemoglobin ... See more keywords
Photo from academic.microsoft.com

Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data

Sign Up to like & get
recommendations!
Published in 2017 at "Statistical Methods in Medical Research"

DOI: 10.1177/0962280215588340

Abstract: Nowadays there is an increased medical interest in personalized medicine and tailoring decision making to the needs of individual patients. Within this context our developments are motivated from a Dutch study at the Cardio-Thoracic Surgery… read more here.

Keywords: risk; combined dynamic; dynamic predictions; predictions using ... See more keywords