Todd Rowland

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Few studies have properly compared predictive performance of different models using the same medical data set. We developed and compared 3 models (logistic regression, neural networks, and rough sets) in the in prediction of ambulation at hospital discharge following spinal cord injury. We used the multi-center Spinal Cord Injury Model System database. All(More)
While most studies of deterministic network growth have been of one- or two-case models, here a more diverse and comprehensive method of deterministic network evolution is presented. The range of observed behavior is classified and the underlying causes of the various types of growth are investigated. The potential for prediction of the different types of(More)
Embryonic cleavage depends on the distribution in the cytosol of molecular signals that influence mitotic spindle positioning. By implementing the New Kind of Science (NKS) theory in which a simple rule can evolve with a complex overall behavior, here we propose a new theoretical approach that is capable of modeling the mechanisms of early embryonic(More)
We present a network experiment that investigates the computational power of cellular automata on the simplest irregular lattice. One cellular automaton whose apparent complexity increased is Rule 60, the left neighbor Xor operator. It went from being nested to complex. That makes Xor a candidate for universal computational power. We present the evidence in(More)
The totalistic two-dimensional cellular automaton code 52 is capable of a wide variety of behavior. In this paper we look at its generic behavior, its complex behavior on simple backgrounds, its versatility in performing finite computations, and its block emulations of elementary cellular automata (ECA). In all, we found 65 ECA which are emulated by code(More)
Population health management is an approach to improve the health outcomes of a specific group of people, such as frequent users of the emergency department or those at high-risk for hospital admissions. When combined with quality improvement strategies, the targeted application of health information exchange and health information technology (health IT)(More)
The following is a republication of a blog post [1] that Stephen Wolfram wrote on February 22, 2016. He asks the basic question, what can we do with black holes? Imagine that we had one, or many. There are many analogies to complex systems, for example, the wellstudied cases of the single recurrent neuron [2] or the large-scale cellular automata fluids [3].(More)
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