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BMC Medical Informatics and Decision Making|December 21, 2017
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) projectSherif Sakr, Radwa Elshawi, Amjad M Ahmed, et al.
Medicine and Science in Sports and Exercise|September 9, 2011
Predicting maximal HR in heart failure patients on β-blockade therapySteven J Keteyian, Dalane Kitzman, Faiez Zannad, et al.
Journal of the American Veterinary Medical Association|June 5, 2007
Evaluation of clinical status, renal function, and hematopoietic variables after unilateral nephrectomy in canine kidney donorsBridget K Urie, D Michael Tillson, Christopher M Smith, et al.
Heart (British Cardiac Society)|October 27, 2018
Inverse association of pulse pressure augmentation during exercise with heart failure and deathMahmoud Al Rifai, Michael J Blaha, Faisal Rahman, et al.
American Journal of Veterinary Research|November 1, 1987
Biologic characterization of canine melanoma cell linesL G Wolfe, J L Oliver, B B Smith, et al.
Diabetes Care|March 14, 2015
Cardiorespiratory fitness and incident diabetes: the FIT (Henry Ford ExercIse Testing) projectStephen P Juraschek, Michael J Blaha, Roger S Blumenthal, et al.
Molecular Plant-Microbe Interactions : MPMI|March 10, 2022
Comparative Genomics of <i>Fusarium circinatum</i> Isolates Used to Screen Southern Pines for Pitch Canker ResistanceJames C Fulton, Pei-Ling Yu, Katherine E Smith, et al.
Medicine and Science in Sports and Exercise|September 14, 2017
Exercise Oscillatory Ventilation: Interreviewer Agreement and a Novel DeterminationClinton A Brawner, Jonathan K Ehrman, Jonathan Myers, et al.
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