Artificial Intelligence in Medicine
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This study intends to develop a two-stage fuzzy neural network (FNN) for prognoses of prostate cancer. Due to the difficulty of making prognoses of prostate cancer, this study proposes a two-stage FNN for prediction. The initial membership function parameters of FNN are determined by cluster ana...
Highlights • Supervised learning approaches are evaluated for assigning diagnosis codes to EMRs. • Different dataset characteristics (EMR size, number of...
Objective The successful preparation of cells for therapy depends on the characterization of causal factors affecting cell quality. Ultra scale-down methods are used to characterize cells in terms of their response to process engineering causal factors of hydrodynamic shear s...
Highlights • The medical images that can be described more consensually by physicians tend to be less diagnostically challenging. • The medical images th...
Objective This work is to build upon the concept of matching a person's weight, height and age to their overall body shape to create an adjustable three-dimensional model. A versatile and accurate predictor of body size and shape and ligament thickness is required to improve ...
• We evaluate the effects of cognitive support on psychiatric clinical comprehension. • Users selectively attended to clinically relevant points highlighted by the...