1,721,040 research outputs found
Web application for data management within the framework "Studio prospettico di intervento randomizzato sull’efficacia e del rapporto costo/efficacia di un programma di gestione domiciliare di pazienti con BPCO grave"
No full textSome structures for neural based A/D conversion
No full textSome structures for neural based A/D conversion are presented. Experimental results on the proposed topologies are reported. The structures described are particularly suitable for the realisation of a low-cost, easily expandable voltmeter for consumer application
Early health economic models of new ambient assisted living (AAL) devices for falls prevention
No full textOn a new class of neural adaptive FIR filters
No full textBasic aspects of a recently introduced class of neural networks for adaptive FIR filtering are analyzed. The main quantities characterizing the transient motion, such as setting time and errors of computation, are analytically evaluated. In addition, an interpretation is given of the adaptive neural filter computation in terms of both correlation functions and a continuous-time gradient-search technique applied on the least squares error surface
Necessary and sufficient condition for absolute stability of neural networks
No full textThe main result in this paper is that for a neural circuit of the Hopfield type with a symmetric connection matrix T, the negative semidefiniteness of T is a necessary and sufficient condition for Absolute Stability. The most significant theoretical implication is that the class of neural circuits with a negative semidefinite T is the largest class of circuits that can be employed for embedding and solving optimization problems without the risk of spurious responses
Neural network for adaptive FIR filtering
No full textA new approach to FIR adaptive filtering which is based on the use of a Hopfield-type neural network is proposed. The search for the optimum set of filter weights is not conducted with recursive digital algorithms, but is achieved in real time during the analogue transient of the neural network. © 1990, The Institution of Electrical Engineers. All rights reserved
A condition for global convergence of a class of symmetric neural circuits
No full textA sufficient condition is proved guaranteeing that a class of neural circuits that includes the Hopfield model as a special case is globally convergent towards a unique stable equilibrium. The condition only requires symmetry and negative semi-definiteness of the neuron connection matrix T and is extremely simple to check and apply in practice. The consequences of the above result are discussed in the context of neural circuits for optimization of quadratic cost functions. © 1992 IEE
Neural networks for optimization of nonquadratic cost functions with application to adaptive signal processing
No full textIn recent papers [4, 5], a new neural adaptive filtering structure has been proposed, based on a Least Squares (LS) performance function of errors. In this work, the structure in [4, 5] is generalized and a neural adaptive FIR filter is designed whose performance function is expressed in the general non-LS form. The proposed neural filter is shown to compute in real time (i.e. within each sampling interval) the optimal set of the programmable weights for general non-LS cost functions. As a consequence it features excellent tracking capabilities and is effective for on-line applications where fast adaption speed is required. It is also shown that for some common non-LS cost functions, the neural structures here proposed can be implemented on relatively simple electronic circuits that can be fully integrated in MOS VLSI technology. © 1992 IEEE
The Impact of Hospital Costing Methods on Cost-Effectiveness Analysis: A Case Study
Full text linkBackground Several methods exist to cost hospital contacts when estimating the cost effectiveness of a new intervention. However, the implications of choosing a particular approach remain unclear. We compare the use of the three main diagnosis-related group (DRG)-based national unit costs in England to determine whether choice of approach can impact on economic evaluation results. Methods A cost-utility model was developed to compare secondary fracture prevention models of care for hip fracture patients, using data from large primary and hospital care administrative datasets in England. A healthcare and personal social services payer perspective was adopted, and utilities were informed by a meta-regression. Hospital resource use was valued using three DRG-based unit costs, and regression-based costing models were developed using data from 13,906 patients to inform the model health states. Results Finished consultant episode (FCE)-level reference costs resulted in the highest costs on admission (£9075) and in the year of the fracture (£14,440). Relative to FCE-level costs, spell-level tariffs led to the lowest total hospital care costs per patient within 1 year of fracture (− £3691) compared with spell-level reference costs (− £2106). At a £20,000/quality-adjusted life-year threshold, using spell-level reference costs or spell-level tariffs, the introduction of a nurse-led fracture liaison service model of care was the cost-effective alternative. However, using FCE-level reference costs, usual care was the cost-effective option. Conclusions Our results show that, conditional on the set of national unit costs adopted, the costs of hip fracture may vary considerably and different decisions may be reached regarding the introduction of new healthcare interventions
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