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At least 721 records · Page 40Linked to original sources
PubMedDate not supplied

Knowledge-based segmentation of pediatric kidneys in CT for measurement of parenchymal volume.

PURPOSE: The purpose of this work was to develop an automated method for segmenting pediatric kidneys in helical CT images and measuring their volume. METHOD: An automated system was developed to segment the kidneys. Parametric features of anatomic structures were used to guide segmentation and labeling of image regions. Kidney volumes were calculated by summing included voxels. For validation, the kidney volumes of four swine were calculated using our approach and compared with the "true" volumes measured after harvesting the kidneys. Automated volume calculations were also performed in a cohort of nine children. RESULTS: The mean difference between the calculated and measured values in the swine kidneys was 1.38 ml. For the pediatric cases, calculated volumes ranged from 41.7 to 252.1 ml/kidney, and the mean ratio of right to left kidney volume was 0.96. CONCLUSION: These results demonstrate the accuracy of a volumetric technique that may in the future provide an objective assessment of renal damage.

Artificial Intelligence↗
PubMedDate not supplied

Public health nursing data. Building the knowledge base for high-risk prenatal clients.

PURPOSE: To examine and compare referral reason, clinical pathway variance, and intensity of need for care for high-risk prenatal clients of public health nurses. DESIGN: A prospective, descriptive design was used for this pilot study. METHODS: Reasons for referral to the high-risk prenatal home visitation program, variances from a prenatal clinical pathway, and intensity of need for care scores obtained using the Community Health Intensity Rating Scale (CHIRS) were collected at 28 weeks and 38 weeks of gestation from the clinical records of 20 high-risk prenatal clients (age range 16-43 years) visited by five expert public health nurses in one midplains public health nursing department. RESULTS: Findings indicated that the three sources of clinical data provided congruent but not identical data, with each contributing elements needed to specify public health nurses interventions for high-risk prenatal clients. CLINICAL IMPLICATIONS: Collaborative clinical research studies such as this one are useful in advancing evidenced-based practice in clinical agencies. The congruence between the clinical path variance and the intensity of need for care scores reaffirms the importance of the domain of health behavior intervention as a major aspect of public health nurses practice.

Adolescent↗
PubMed1997

The knowledge base of the oculomotor system.

In everyday life, eye movements enable the eyes to gather the information required for motor actions. They are thus proactive, anticipating actions rather than just responding to stimuli. This means that the oculomotor system needs to know where to look and what to look for. Using examples from table tennis, driving and music reading we show that the information the eye movement system requires is very varied in origin and highly task specific, and it is suggested that the control program or schema for a particular action must include directions for the oculomotor and visual processing systems. In many activities (reading text and music, typing, steering) processed information is held in a memory buffer for a period of about a second. This permits a match between the discontinuous input from the eyes and continuous motor output, and in particular allows the eyes to be involved in more than one task.

Cognition↗
PubMed1999

A comprehensive approach to clustering of expressed human gene sequence: the sequence tag alignment and consensus knowledge base.

The expressed human genome is being sequenced and analyzed by disparate groups producing disparate data. The majority of the identified coding portion is in the form of expressed sequence tags (ESTs). The need to discover exonic representation and expression forms of full-length cDNAs for each human gene is frustrated by the partial and variable quality nature of this data delivery. A highly redundant human EST data set has been processed into integrated and unified expressed transcript indices that consist of hierarchically organized human transcript consensi reflecting gene expression forms and genetic polymorphism within an index class. The expression index and its intermediate outputs include cleaned transcript sequence, expression, and alignment information and a higher fidelity subset, SANIGENE. The STACK_PACK clustering system has been applied to dbEST release 121598 (GenBank version 110). Sixty-four percent of 1,313, 103 Homo sapiens ESTs are condensed into 143,885 tissue level multiple sequence clusters; linking through clone-ID annotations produces 68,701 total assemblies, such that 81% of the original input set is captured in a STACK multiple sequence or linked cluster. Indexing of alignments by substituent EST accession allows browsing of the data structure and its cross-links to UniGene. STACK metaclusters consolidate a greater number of ESTs by a factor of 1. 86 with respect to the corresponding UniGene build. Fidelity comparison with genome reference sequence AC004106 demonstrates consensus expression clusters that reflect significantly lower spurious repeat sequence content and capture alternate splicing within a whole body index cluster and three STACK v.2.3 tissue-level clusters. Statistics of a staggered release whole body index build of STACK v.2.0 are presented.

Algorithms↗
PubMed2004

Design of a novel knowledge-based fault detection and isolation scheme.

In this paper, a real-time fault detection and isolation (FDI) scheme for dynamical systems is developed, by integrating the signal processing technique with neural network design. Wavelet analysis is applied to capture the fault-induced transients of the measured signals in real-time, and the decomposed signals are pre-processed to extract details about a fault. A Regional Self-Organizing feature Map (R-SOM) neural network is synthesized to classify the fault types. The R-SOM neural network adopts two regions adjustment in the learning algorithm, thus it has high precision in clustering and matching, especially when the noise, disturbance and other uncertainties exist in the systems. As a result, the proposed FDI scheme is robust and accurate. The design is implemented on a stirred tank system and satisfactory online testing results are obtained.

Journal Article↗
PubMedDate not supplied

Children's ability to impute inferentially based knowledge.

Do young children appreciate the importance of access to premises when judging what another person knows? In Experiment 1, 5-year-olds (N=31) were sensitive to another person's access to premises when predicting that person's ability to point to a target after eliminating alternatives in a set of 3 cartoon characters. Experiment 2 replicated the finding when 5- to 6-year-olds (N=102) judged who the other person thought the target was, and whether the other person knew who the target was. Experiment 3 demonstrated that children aged 5-7 years (N=107) more successfully imputed inference by elimination than syllogistical inferential knowledge. Findings suggest that an early understanding of inference by elimination offers a route into understanding that people can sometimes gain knowledge without direct perceptual access.

Aptitude↗
PubMed1988

Evaluating antiarrhythmic strategies: a knowledge-based system for exploring clinical data.

Medical therapy for cardiac arrhythmias is still to a large extent based on empirical methods. Assessing and evaluating different therapeutical strategies constitutes the starting point for inducing decision methods to select the appropriate regimen for an individual patient. We designed a computer-based system that establishes a set of heuristic rules linking attributes in a data base of patients with rhythm disturbances. A feasibility analysis conducted on a small set of 23 patients indicated that constraints on the number of attributes and their clinical relevancy together with a representation scheme for temporal changes have to be incorporated to provide for a useful and efficient algorithm.

Algorithms↗