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At least 37 records · Page 2Linked to original sources
PubMed2005

An adaptive prediction and detection algorithm for multistream syndromic surveillance.

BACKGROUND: Surveillance of Over-the-Counter pharmaceutical (OTC) sales as a potential early indicator of developing public health conditions, in particular in cases of interest to biosurvellance, has been suggested in the literature. This paper is a continuation of a previous study in which we formulated the problem of estimating clinical data from OTC sales in terms of optimal LMS linear and Finite Impulse Response (FIR) filters. In this paper we extend our results to predict clinical data multiple steps ahead using OTC sales as well as the clinical data itself. METHODS: The OTC data are grouped into a few categories and we predict the clinical data using a multichannel filter that encompasses all the past OTC categories as well as the past clinical data itself. The prediction is performed using FIR (Finite Impulse Response) filters and the recursive least squares method in order to adapt rapidly to nonstationary behaviour. In addition, we inject simulated events in both clinical and OTC data streams to evaluate the predictions by computing the Receiver Operating Characteristic curves of a threshold detector based on predicted outputs. RESULTS: We present all prediction results showing the effectiveness of the combined filtering operation. In addition, we compute and present the performance of a detector using the prediction output. CONCLUSION: Multichannel adaptive FIR least squares filtering provides a viable method of predicting public health conditions, as represented by clinical data, from OTC sales, and/or the clinical data. The potential value to a biosurveillance system cannot, however, be determined without studying this approach in the presence of transient events (nonstationary events of relatively short duration and fast rise times). Our simulated events superimposed on actual OTC and clinical data allow us to provide an upper bound on that potential value under some restricted conditions. Based on our ROC curves we argue that a biosurveillance system can provide early warning of an impending clinical event using ancillary data streams (such as OTC) with established correlations with the clinical data, and a prediction method that can react to nonstationary events sufficiently fast. Whether OTC (or other data streams yet to be identified) provide the best source of predicting clinical data is still an open question. We present a framework and an example to show how to measure the effectiveness of predictions, and compute an upper bound on this performance for the Recursive Least Squares method when the following two conditions are met: (1) an event of sufficient strength exists in both data streams, without distortion, and (2) it occurs in the OTC (or other ancillary streams) earlier than in the clinical data.

Algorithms↗
PubMed1987

Predictable adaptations by skeletal muscle mitochondria to different exercise training workloads.

1. Mitochondria were isolated according to their cellular location within the fibers of pooled gastrocnemius and plantaris muscle of the rat. This procedure yields two populations of mitochondria which display different biochemical properties. 2. The adaptive response of these mitochondria populations to the chronic exposure to different elevated energy demands (different modes of exercise training) was investigated. 3. The observed changes in mitochondrial protein content and cytochrome oxidase activity in the respective mitochondria population suggests that each population is capable of independent adaptations. 4. The adaptive response of each mitochondria population, furthermore, was predictable with respect to the metabolic energy demand of the exercise training workload.

Acclimatization↗
PubMed2006

Internalizing agency of self-action: perception of one's own hand movements depends on an adaptable prediction about the sensory action outcome.

Extensive work on learning in reaching and pointing tasks has demonstrated high degrees of plasticity in our ability to optimize goal-directed motor behavior. However, studies focusing on the perceptual awareness of our own actions during motor adaptation are still rare. Here we present the first simultaneous investigation of sensorimotor adaptation on both levels, i.e., action and action perception. We hypothesized that self-action perception relies on internal predictions about the sensory action outcome that are updated in a way similar to that of motor control. Twenty human subjects performed out-and-back pointing movements that were fed back visually. Feedback was initially presented in spatiotemporal correspondence with respect to the actual finger position, but later rotated by a constant angle. When distorted feedback was applied repetitively, subjects' perceived pointing direction shifted in the direction of the trajectory rotation. A comparable perceptual reinterpretation was observed in control trials without visual feedback, indicating that subjects learned to predict the new visual outcome of their actions based on nonvisual, internal information. The perception of the world, however, remained unchanged. The changes in perception of one's own movements were accompanied by adaptive changes in motor performance of the same amount, i.e., a secondary motor compensation opposite to the direction of the imposed visual rotation. Our results show that the perception of one's own actions depends on adaptable internal predictions about the sensory action outcome, allowing us to attribute new sensory consequences of our actions to our own agency. Furthermore, they indicate that the updated sensory prediction can be used to optimize motor control.

Adult↗
PubMed1995

Adaptive predictive control of dissolved oxygen concentration in a laboratory-scale bioreactor.

We present an algorithm for the adaptive control of dissolved oxygen concentration in a bioreactor, based on the agitation rate. The dynamics are represented by an incremental first-order model with variable dead-time and parameters. These are estimated on-line by a recursive least-squares identification method with a forgetting factor and a constant sensitivity. The model is employed to predict the behaviour of the dissolved oxygen concentration over a finite horizon, using an original method which requires little computation. Then, a Generalized Predictive Control optimisation strategy computes the agitation rate from the predictions and the desired set point, while gradually updating the controller smoothness. This algorithm, which requires little preliminary knowledge, has been implemented on a laboratory-scale fed-batch bioreactor for which the use of conventional controllers showed limited performance, due to the unpredictable and evolutive nature of the dynamics. The new controller proved to be robust and effective over a wide range of operating conditions, while requiring no operator adjustments.

Algorithms↗
PubMed2001

Predicting adaptive evolution.

Phylogenetic trees reconstruct past evolution and can provide evidence of past evolutionary pressure on genes and on individual codons. In addition to tracing past evolutionary events, molecular phylogenetics might also be used to predict future evolution. Our ability to verify adaptive hypotheses using phylogenetics has broad implications for vaccine design, genomics and structural biology.

Adaptation, Biological↗
PubMed1998

Predicting adaptation to presymptomatic DNA testing for late onset disorders: who will experience distress? Rotterdam Leiden Genetics Workgroup.

The first comparative study on predicting post-test distress (conceptualised by intrusion and avoidance, measured with the Impact of Event Scale) after presymptomatic genetic testing for Huntington's disease (HD, n=25), cancer syndromes (familial adenomatous polyposis (FAP, n=23)), and hereditary breast and ovarian cancer (HBOC, n=10) is reported. The variables with the highest predictive potential of post-test distress are presented. Participants who were depressed before the test were more distressed after testing, but we found that those who were anxious before the test were less distressed, that is, had less intrusive thoughts post-test. Other factors associated with a higher level of post-test intrusion were gender (being a woman), having children, and pre-test intrusion. Religion and being at risk for HBOC were associated with less post-test intrusion. Participants who showed avoidance behaviour before the test and those who had many people available for support showed more avoidance behaviour post-test. The test result did not additionally contribute to post-test distress. The prima facie simple notion that the test result, as such, determines the distress experienced seems to be a misrepresentation of the complex reality.

Adaptation, Psychological↗
PubMed2006

A 2-D orientation-adaptive prediction filter in lifting structures for image coding.

Lifting-style implementations of wavelets are widely used in image coders. A two-dimensional (2-D) edge adaptive lifting structure, which is similar to Daubechies 5/3 wavelet, is presented. The 2-D prediction filter predicts the value of the next polyphase component according to an edge orientation estimator of the image. Consequently, the prediction domain is allowed to rotate +/-45 degrees in regions with diagonal gradient. The gradient estimator is computationally inexpensive with additional costs of only six subtractions per lifting instruction, and no multiplications are required.

Algorithms↗
PubMedDate not supplied

Adaptive predictive coding with applications to radiographs.

Picture archiving and communications systems (PACS) require storage and transmission of vast amounts of data. For design/cost considerations, it is desirable to reduce the size of these data without sacrificing the integrity of the stored information. The major considerations in designing a data-compression scheme for a PACS system are discussed: fidelity of the reconstructed image, bit rate, hardware complexity, and processing time. The basic principles of conventional nonadaptive differential pulse-code modulation (DPCM) are reviewed and compared with adaptive techniques. The effect of adaptive quantization on radiographic images is examined. Special consideration is given to block-adaptive DPCM or the "switched quantizer," which greatly enhances the system performance as compared with nonadaptive techniques, and conservatively has a 5:1 compression ratio. Sample radiographs substantiate the results.

Bone and Bones↗
PubMed1981

Predicting adaptive functioning among mentally ill persons in community settings.

Attempts to improve instrumental role performance among mentally ill persons have traditionally focused on the modification of individual level variables. Recent interest in environmental-behavioral linkages, however, has led to attempt to isolate environmental variables which are both readily manipulable and significantly related to improved instrumental role performance. The present study examines the impact of a variety of individual, residential, and community variables on instrumental role performance using multiple regression analysis. The 10 variables in the equation had a multiple r of .77 with total score on the Residential portion of the Adaptive Functioning Index, indicating that they account for 60% of the variance in scores. Individual level variables account for 3% of the variance, while environmental variables, primarily those related to normalization account for 57% of the variance. The data suggest that environmental normalization may be an effective technology as well as an ideology.

Adaptation, Psychological↗
PubMed1980

An attempt to assess and predict adaptive behavior of institutionalized mentally retarded clients.

Institutionalized retarded clients (N = 142) were assessed on the Adaptive Behavior Scale (ABS) within 6 months of their admission to Woodhaven Center (Philadelphia) and approximately 12 to 18 months later. While clients were found to progress significantly on 7 of the 10 domains of Part One of the ABS, no significant gains were noted on Part Two. Selected client characteristics (age of admission, sex, IQ, AAMD etiological classification) were also examined as predictors of improvement on the ABS. None of these characteristics was significantly associated with gains on the ABS. The above findings were discussed in terms of specific characteristics of the client population and with respect to limitations of the ABS itself.

Adaptation, Psychological↗
PubMed1980

Predicting adaptive functioning of mentally retarded persons in community settings.

The impact of a variety of individual, residential, and community variables on adaptive functioning of retarded persons was examined using a multiple-regression analysis. Individual characteristics (especially IQ) accounted for 21 percent of the variance, while environmental variables, primarily those related to normalization, accounted for 35 percent. The data suggest that environmental normalization may be an effective technology for the promotion of independent functioning of retarded people as well as an ideology.

Adolescent↗
PubMed1997

Computer prediction of adaptive bone remodelling around noncemented femoral prostheses: the relationship between damage-based and strain-based algorithms.

Several mathematical models to predict tissue adaptation have been derived since Julius Wolff proposed a function-form relationship for bone. These can be formulated as computational procedures (algorithms) to predict bone adaptation around implants. The objective of this paper was to further develop the damage-adaptive algorithm, to test its validity, and to determine the relationship between it and algorithms based on strain energy. This was achieved using finite element models of the proximal femur, one for the intact case and another for the case where a noncemented hip prosthesis is implanted. The finite models were generated using CT scan data. Initial bone resorption patterns around a femoral prosthesis following total hip arthroplasty were computed for both damage-adaptive and strain-adaptive adaptation rules. It is found that the damage-adaptive algorithm can successfully predict the bone's adaptive behaviour in response to altered mechanical loading provided that account is taken of the nonlinear nature of damage accumulation. Predictions are made using a strain energy stimulus for comparison with the damage stimulus, and a theoretical relationship between the two is proposed. It is shown that an advantage of the damage approach over the strain-based approach is that the nonlinearity required to replicate clinically observed resorption patterns can be derived theoretically, whereas for strain-adaptive remodelling, empirical relationships are assumed.

Adaptation, Physiological↗
PubMed2000

ADAPT: a predictive cognitive model of user visual attention and action planning.

We present a computational cognitive model of novice and expert aviation pilot action planning called ADAPT that models performance in a dynamically changing simulated flight environment. We perform rigorous tests of ADAPT's predictive validity by comparing the performance of individual human pilots to that of their respective models. Individual pilots were asked to execute a series of flight maneuvers using a flight simulator, and their eye fixations and control movements were recorded in a time-synched database. Computational models of each of the 25 individual pilots were constructed, and the individual models simulated execution of the same flight maneuvers performed by the human pilots. The time-synched eye fixations and control movements of individual pilots and their respective models were compared, and rigorous tests of ADAPT's predictive validity were performed. The model explains and predicts a significant portion of pilot visual attention and control movements during flight as a function of piloting expertise. Implications for adaptive training systems are discussed.

Artificial Intelligence↗