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Comparison of different classification algorithms for underwater target discrimination.

Classification of underwater targets from the acoustic backscattered signals is considered here. Several different classification algorithms are tested and benchmarked not only for their performance but also to gain insight to the properties of the feature space. Results on a wideband 80-kHz acoustic backscattered data set collected for six different objects are presented in terms of the receiver operating characteristic (ROC) and robustness of the classifiers wrt reverberation.

Acoustic Stimulation↗

Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure.

This paper presents two novel approaches to determine optimum growing multi-experts network (GMN) structure. The first method called direct method deals with expertise domain and levels in connection with local experts. The growing neural gas (GNG) algorithm is used to cluster the local experts. The concept of error distribution is used to apportion error among the local experts. After reaching the specified size of the network, redundant experts removal algorithm is invoked to prune the size of the network based on the ranking of the experts. However, GMN is not ergonomic due to too many network control parameters. Therefore, a self-regulating GMN (SGMN) algorithm is proposed. SGMN adopts self-adaptive learning rates for gradient-descent learning rules. In addition, SGMN adopts a more rigorous clustering method called fully self-organized simplified adaptive resonance theory in a modified form. Experimental results show SGMN obtains comparative or even better performance than GMN in four benchmark examples, with reduced sensitivity to learning parameters setting. Moreover, both GMN and SGMN outperform the other neural networks and statistical models. The efficacy of SGMN is further justified in three industrial applications and a control problem. It provides consistent results besides holding out a profound potential and promise for building a novel type of nonlinear model consisting of several local linear models.

Algorithms↗

Distributed support vector machines.

A truly distributed (as opposed to parallelized) support vector machine (SVM) algorithm is presented. Training data are assumed to come from the same distribution and are locally stored in a number of different locations with processing capabilities (nodes). In several examples, it has been found that a reasonably small amount of information is interchanged among nodes to obtain an SVM solution, which is better than that obtained when classifiers are trained only with the local data and comparable (although a little bit worse) to that of the centralized approach (obtained when all the training data are available at the same place). We propose and analyze two distributed schemes: a "naïve" distributed chunking approach, where raw data (support vectors) are communicated, and the more elaborated distributed semiparametric SVM, which aims at further reducing the total amount of information passed between nodes while providing a privacy-preserving mechanism for information sharing. We show the feasibility of our proposal by evaluating the performance of the algorithms in benchmarks with both synthetic and real-world datasets.

Algorithms↗

A gradual noisy chaotic neural network for solving the broadcast scheduling problem in packet radio networks.

In this paper, we propose a gradual noisy chaotic neural network (G-NCNN) to solve the NP-complete broadcast scheduling problem (BSP) in packet radio networks. The objective of the BSP is to design an optimal time-division multiple-access (TDMA) frame structure with minimal TDMA frame length and maximal channel utilization. A two-phase optimization is adopted to achieve the two objectives with two different energy functions, so that the G-NCNN not only finds the minimum TDMA frame length but also maximizes the total node transmissions. In the first phase, we propose a G-NCNN which combines the noisy chaotic neural network (NCNN) and the gradual expansion scheme to find a minimal TDMA frame length. In the second phase, the NCNN is used to find maximal node transmissions in the TDMA frame obtained in the first phase. The performance is evaluated through several benchmark examples and 600 randomly generated instances. The results show that the G-NCNN outperforms previous approaches, such as mean field annealing, a hybrid Hopfield network-genetic algorithm, the sequential vertex coloring algorithm, and the gradual neural network.

Electricity↗

Continuous quality improvement for the clinical decision unit.

Clinical decision units (CDUs) are a relatively new and growing area of medicine in which patients undergo rapid evaluation and treatment. Continuous quality improvement (CQI) is important for the establishment and functioning of CDUs. CQI in CDUs has many advantages: better CDU functioning, fulfillment of Joint Commission on Accreditation of Healthcare Organizations mandates, greater efficiency/productivity, increased job satisfaction, better performance improvement, data availability, and benchmarking. Key elements include a database with volume indicators, operational policies, clinical practice protocols (diagnosis specific/condition specific), monitors, benchmarks, and clinical pathways. Examples of these important parameters are given. The CQI process should be individualized for each CDU and hospital.

Benchmarking↗

Surgeon specific mortality in adult cardiac surgery: comparison between crude and risk stratified data.

OBJECTIVE: As a result of recent failures in clinical governance the government has made a commitment to bring individual surgeons' mortality data into the public domain. We have analysed a database to compare crude mortality after coronary artery bypass surgery with outcomes that were stratified by risk. DESIGN: Retrospective analysis of prospectively collected data. SETTING: All NHS centres in the geographical north west of England that undertake cardiac surgery in adults. PARTICIPANTS: All patients undergoing isolated bypass graft surgery for the first time between April 1999 and March 2002. MAIN OUTCOME MEASURES: Surgeon specific postoperative mortality and predicted mortality by EuroSCORE. RESULTS: 8572 patients were operated on by 23 surgeons. Overall mortality was 1.7%. Observed mortality between surgeons ranged from 0% to 3.7%; predicted mortality ranged from 2% to 3.7%. Eighty five per cent (7286) of the patients had a EuroSCORE of 5 or less; 49% of the deaths were in this lower risk group. A large proportion of the variability in predicted mortality between surgeons was due to a small but differing number of high risk patients. CONCLUSIONS: It is possible to collect risk stratified data on all patients undergoing coronary bypass surgery. For most the predicted mortality is low. The small proportion of high risk patients is responsible for most of the differences in predicted mortality between surgeons. Crude comparisons of death rates can be misleading and may encourage surgeons to practise risk averse behaviour. We recommend a comparison of death rates that is stratified by risk and based on low risk cases as the national benchmark for assessing consultant specific performance.

Adult↗

Provider profiling: advancing to episodes of care.

Judging by the interest expressed by managed care organizations, provider profiling has arrived. Surveys indicate that most organizations have adopted, or plan to adopt in the near future, a means to describe provider practice patterns. A further vote of confidence came from providers: In 1994, the American College of Physicians, the largest national specialty organization, issued a position paper supporting provider profiling and questioning the value of other approaches to utilization management, such as preauthorization of individual services. Also, an article and an editorial in the New England Journal of Medicine cautiously supported the concept of profiling. Provider profiling has great promise as a means to promote cost-effective care without the limitations of case-by-case preauthorization. The combination of a sophisticated episode of care methodology and a set of validated practice benchmarks offers the opportunity to perform true clinical profiling and to supply providers with data to review and alter practice patterns.

Cost-Benefit Analysis↗

Medication errors: an analysis comparing PHICO's closed claims data and PHICO's Event Reporting Trending System (PERTS).

Clinical pharmacologists are all dedicated to improving the use of medications and decreasing medication errors and adverse drug reactions. However, quality improvement requires that some significant parameters of quality be categorized, measured, and tracked to provide benchmarks to which future data (performance) can be compared. One of the best ways to accumulate data on medication errors and adverse drug reactions is to look at medical malpractice data compiled by the insurance industry. Using data from PHICO insurance company, PHICO's Closed Claims Data, and PHICO's Event Reporting Trending System (PERTS), this article examines the significance and trends of the claims and events reported between 1996 and 1998. Those who misread history are doomed to repeat the mistakes of the past. From a quality improvement perspective, the categorization of the claims and events is useful for reengineering integrated medication delivery, particularly in a hospital setting, and for redesigning drug administration protocols on low therapeutic index medications and "high-risk" drugs. Demonstrable evidence of quality improvement is being required by state laws and by accreditation agencies. The state of Florida requires that quality improvement data be posted quarterly on the Web sites of the health care facilities. Other states have followed suit. The insurance industry is concerned with costs, and medication errors cost money. Even excluding costs of litigation, an adverse drug reaction may cost up to $2500 in hospital resources, and a preventable medication error may cost almost $4700. To monitor costs and assess risk, insurance companies want to know what errors are made and where the system has broken down, permitting the error to occur. Recording and evaluating reliable data on adverse drug events is the first step in improving the quality of pharmacotherapy and increasing patient safety. Cost savings and quality improvement evolve on parallel paths. The PHICO data provide an excellent opportunity to review information that typically would not be in the public domain. The events captured by PHICO are similar to the errors and "high-risk" drugs described in the literature, the U.S. Pharmacopeia's MedMARx Reporting System, and the Sentinel Event reporting system maintained by the Joint Commission for the Accreditation of Healthcare Organizations. The information in this report serves to alert clinicians to the possibility of adverse events when treating patients with the reported drugs, thus allowing for greater care in their use and closer monitoring. Moreover, when using high-risk drugs, patients should be well informed of known risks, dosage should be titrated slowly, and therapeutic drug monitoring and laboratory monitoring should be employed to optimize therapy and minimize adverse effects.

Adverse Drug Reaction Reporting Systems↗

The 2001 Kentucky Childrens Oral Health Survey: findings for children ages 24 to 59 months and their caregivers.

PURPOSE: This study was performed to provide a 2001 benchmark of oral health status of children in Kentucky with a comparison to the most recent state (1987) and national surveys. METHODS: Using Basic Screening Survey protocols for visual screenings, a sample of 572 children ages 24 to 59 months was screened in health department clinics and physicians' and pediatric dentists' offices across Kentucky after caregivers completed a questionnaire. Screeners were provided modified Association of State and Territorial Dental Directors training materials. Analyses on the sample and population estimates were done with SAS and SUDAAN software. This weighted population estimate analysis is based on the assumption that sampled children at participating sites are representative of other children at that site, as well as children at refusing sites. RESULTS: Sample data and adjusted population estimates closely approximated each other. Population estimates indicated that 43% had untreated caries, 47% had caries experience (early childhood caries), and 31% had severe early childhood caries. Thirty-seven percent of the children needed early care, 9% needed urgent care, 39% had never been to the dentist, 44% had a history of "bad bottle behaviors," and 35% of the parents had not been to the dentist within the last year. CONCLUSIONS: Dental caries is a major health and early childhood development problem in high-risk preschool children in Kentucky.

Bottle Feeding↗

Transfusion errors: scope of the problem, consequences, and solutions.

For more than 25 years, ABO transfusion errors in the United States have caused more noninfectious transfusion deaths each year than any other cause. The US ABO error rate is between 1:12,000 and 1:19,000, with a fatality rate between 1:800,000 and 1:1.3 million. In the past 15 years, international research has increased to determine the frequency and nature of the slips and mistakes that result in transfusion errors and possible solutions to reduce them. Solutions include changes in human processes, introducing technologic improvements, and involving professional societies to create national or international performance standards to serve as benchmarks for comparison.

ABO Blood-Group System↗

The stain removal performance of a new anti-hypersensitivity dentifrice.

OBJECTIVE: To investigate the stain removal potential in vitro of a new anti-hypersensitivity dentifrice. The dentifrice contains a low level of abrasive, the zwitterionic surfactant cocamidopropyl betaine, and potassium nitrate. It has been developed to be as gentle as possible to tooth surfaces and oral soft tissues, while effectively treating dentinal hypersensitivity. METHODOLOGY: The Relative Dentine Abrasivity (RDA) method was used to measure abrasivity. The Pellicle Cleaning Ratio (PCR) and the Natural Extrinsic Stain Removal (NESR) methods were used to test stain removal performance against suitable controls. RESULTS: The RDA value for the formulation was 34 +/- 2 (Mean +/- S.E.). The PCR value was 46 +/- 4, comparable with Elmex Sensitive. The NESR test, which has previously been shown to give better clinical correlation than the PCR, demonstrated that the new formulation gave superior stain removal performance compared with both Sensodyne MultiCare and a conventional nonsensitivity formulation, and similar stain removal performance to Elmex Sensitive. CONCLUSION: The new formulation has been shown, in these studies, to combine low abrasivity with an in vitro stain removal performance comparable with that of benchmark marketed pastes.

Animals↗

Beyond coverage and supply: measuring access to healthcare in today's market.

OBJECTIVE/PURPOSE: To stimulate discussion within the research and policy community about the value of and issues surrounding different ways to describe access to care in a health system reconfigured by the growth of managed care, competition, and other marketplace changes. PRINCIPLE FINDINGS: The concept of access has evolved over time to address shifting health policy concerns like the growing interest in looking beyond utilization as a measure of access to a better consideration, too, of the effectiveness of services used as judged by costs and outcomes. Yet current frameworks used to look at access are person-based and do not capture the complexity of the healthcare system and the complex structures involved in managed care organizations that combine delivery and financing and vary substantially within and across markets. In addition, many at times competing or conflicting policy goals on access exist. There also is an increasingly diverse and widening set of uses that include benchmarking against national goals, measuring performance of accountable entities, and providing consumer information. CONCLUSIONS AND RECOMMENDATIONS: Traditional access frameworks are invaluable in encouraging focus on historical measures of access, like insurance coverage and other barriers to system entry. But much greater attention needs to be paid to adapting current access frameworks so that they also better support the ability to understand how processes inherent in diverse health delivery and financing arrangements influence access to services within a system and what this means for how well individuals negotiate healthcare systems and the effects on care outcomes. The increasing demands on access measures and the growing diversity of users also point to a need for collaboration to better pool insights, share experiences, and honestly confront trade-offs or disagreements to progress in addressing these issues.

Delivery of Health Care↗

Using clinical practice analysis to improve care.

BACKGROUND: Improving clinical outcomes requires that physicians examine and change their clinical practice. Sustaining outcome improvements requires a dedicated and dynamic program of analyzing and improving patient care. In 1992 North Mississippi Health Services (NMHS) implemented a program to improve physicians' clinical efficiency. CLINICAL PRACTICE ANALYSIS ( CPA): CPA uses evidenced-based guidelines and examines each physician's resource utilization, processes, and outcomes for a diagnosis or procedure. Clinical practice profiles are developed, and individual performance is compared to local and national benchmarks and presented to physicians. The CPA process is used on its own or as a component of more comprehensive performance improvements projects. Physicians have been engaged in outcome improvement by more than 55 CPA projects. RESULTS: NHMS has progressively reduced its Medicare loss and its length of stay (LOS) to 4.9 days. Mortality and readmission rates have been reduced in specific diagnoses. The community-acquired pneumonia project reduced the LOS from 7.7 to 5.1 days, decreaesed the mortality rate from 8.9% to 5.0%, and decreased the cost of care from $4,269 to $3,834. The ischemic stroke project reduced the aspiration pneumonia rate from 6.4% to 0% and mortality from 11.0% to 4.6%. Patients' average LOS decreased from 10.7 days to 6.5 days, and their cost of care was reduced by $1,100 per patient. DISCUSSION: Providing individualized data has engaged physicians in improving outcomes. The program has evolved from improving efficiency to managing outcomes and from simple CPA projects to integrated performance improvement projects; however, the CPA process remains the cornerstone of the current process.

Anti-Bacterial Agents↗

Take benchmarking to the next level.

Reposition and revitalize your organization by teaching staff members to use data for identifying, setting, and directing performance goals.

Benchmarking↗

A group randomized trial to improve safe use of nonsteroidal anti-inflammatory drugs.

OBJECTIVE: To determine whether audit/feedback and educational materials improve adherence to recommendations for laboratory monitoring and cytoprotective agents to detect and prevent adverse events caused by nonsteroidal anti-inflammatory agents (NSAIDs). STUDY DESIGN: Controlled, cluster-randomized trial. METHODS: Physicians commonly prescribing NSAIDs were identified within a large managed care organization and randomized to a control or an intervention group (audit/feedback with peer-derived benchmarks and continuing medical education). Medical records were examined 10 months before and after the intervention for clinical data and receipt of complete blood count (CBC), creatinine testing, and cytoprotective agents (process measures). Primary analysis compared intervention versus control physicians among those who initially performed below a peer-derived benchmark. General estimating equations accounted for patient clustering. RESULTS: Of 101 physicians initially randomized, 85 remained eligible (38 internists, 36 family physicians, 11 rheumatologists) postintervention. Mean percent change in performance between intervention and control physicians for CBC monitoring was 16% versus 10%; for creatinine monitoring, 0% versus 17%; and use of cytoprotective agents, -3% versus -1%. None of these changes were significant. Rheumatology specialty, number of NSAID prescriptions and physician visits, and patient risk factors for NSAID-related toxicity were more strongly associated with improved safety practices than the intervention. CONCLUSIONS: Audit/feedback and educational materials had no observed effect on improving NSAID-related safety practices. Potentially contributing factors include high baseline performance (ceiling effect), dilution of the intervention effect by case mix and provider factors, nonreceipt of intervention materials, and diverse indications for lab tests.

Adult↗

Reverse quality management: developing evidence-based best practices in health emergency management.

The British Columbia Ministry of Health's Framework for Core Functions in Public Health was the catalyst that inspired this review of best practices in health emergency management. The fieldwork was conducted in the fall of 2005 between hurricane Katrina and the South Asia earthquake. These tragedies, shown on 24/7 television news channels, provided an eyewitness account of disaster management, or lack of it, in our global village world. It is not enough to just have best practices in place. There has to be a governance structure that can be held accountable. This review of best practices lists actions in support of an emergency preparedness culture at the management, executive, and corporate/governance levels of the organization. The methodology adopted a future quality management approach of the emergency management process to identify the corresponding performance indictors that correlated with practices or sets of practices. Identifying best practice performance indictors needed to conduct a future quality management audit is described as reverse quality management. Best practices cannot be assessed as stand-alone criteria; they are influenced by organizational culture. The defining of best practices was influenced by doubt about defining a practice it is hoped will never be performed, medical staff involvement, leadership, and an appreciation of the resources required and how they need to be managed. Best practice benchmarks are seen as being related more to "measures" of performance defined locally and agreed on by 2 or more parties rather than to achieving industrial standards. Relating practices to performance indicators and then to benchmarks resulted in the development of a Health Emergency Management Best Practices Matrix that lists specific practice in the different phases of emergency management.

Benchmarking↗