363 results on '"Atkinson, Ian"'
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352. Chapter 7 - Asking Research Questions
353. DEEP PHENOTYPING BY UNSUPERVISED MACHINE LEARNING OF PARTICIPANTS IN THE BARI 2D TRIAL.
354. Contributors
355. USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN THE SYSTOLIC BLOOD PRESSURE INTERVENTION TRIAL (SPRINT).
356. USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN THE TREATMENT OF PRESERVED CARDIAC FUNCTION HEART FAILURE WITH AN ALDOSTERONE ANTAGONIST TRIAL (TOPCAT).
357. USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN PREVENTION OF EVENTS WITH ANGIOTENSIN-CONVERTING ENZYME INHIBITION (PEACE) TRIAL.
358. Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.
359. Complementing a Clinical Trial With Human-Computer Interaction: Patients' User Experience With Telehealth.
360. Residual Tumor Volume, Cell Volume Fraction, and Tumor Cell Kill During Fractionated Chemoradiation Therapy of Human Glioblastoma using Quantitative Sodium MR Imaging.
361. Evaluation of Skin Damage from Accidental Removal of a Hemostatic Wound Clamp (The iTClamp).
362. Quantitative sodium MR imaging and sodium bioscales for the management of brain tumors.
363. Safety of human MRI at static fields above the FDA 8 T guideline: sodium imaging at 9.4 T does not affect vital signs or cognitive ability.
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