Jamal Ameen

University of South Wales · Emeritus Professor

This research further explores the part played by Primary Care General Dental Practitioners in caries experiences in children.

This paper explores the reasons for multiple caries in children from the viewpoint of clinical practice, namely General Dental Practitioners (GDPs) and their teams, to identify obstacles to reducing inequalities in caries experience. The context of the research is the distribution of dental caries in UK communities where disease prevalence correlat...

Introduction: Reducing social inequality along with oral health inequality in Wales is a policy objective. In this ecological study the relationships between deprivation, dental workforce and oral health are explored. Method: Twenty two Unitary Authorities (UAs) serving the population of Wales were studied. The number of dentists were obtained from...

Background The 2003 liberation/invasion of Iraq and the resulting casualties from civilians and armed forces attracted researchers publishing in high prestigious journals but little mentioned about the events that led to the armed intervention. This paper is assessing the human cost of successive Iraqi governments tyrannical rule in Kurdistan Regio...

Background The 2003 liberation/invasion of Iraq and the resulting casualties from civilians and armed forces attracted researchers publishing in high prestigious journals but little was mentioned about the events that led to the armed intervention. This paper assesses the human cost of successive Iraqi governments’ tyrannical rule in Kurdistan Regi...

Introduction Reducing social inequality along with oral health inequality in Wales is a policy objective. In this ecological study the relationships between deprivation, dental workforce and oral health are explored. Method Twenty-two Unitary Authorities (UAs) serving the population of Wales were studied. The number of dentists were obtained from...

A general class of models is introduced to provide robust and practically simple forecasts for different horizons. These are obtained in the presence of both high and low frequencies in the data. A sub-model is constructed to estimate low frequency state parameters and the results obtained are used as conditional information in modelling the high f...

Poverty estimation based on calories intake is unrealistic. The established concept of multidimensional poverty has methodological weaknesses in the treatment of different dimensions and there is disagreement in methods of combining them into a single poverty line. This paper introduces a methodology to estimate optimal multidimensional poverty lin...

Zooming in and out of images has lately become a norm to provide panoramic as well as detailed views of subjects under consideration taking advantage of advances in computer and information technology including the Global Information Systems. How-ever, the power of zooming as a generic activity has not been yet fully realized. In this paper, we exp...

Advances in internet technology over the past decades have revolutionarised the way consumers behave and extended marketing beyond its traditional boundaries. In parallel, challenges relating to consumer and businesses behaviour have increased manifold. This paper attempts to assess the fuzzy actions of buying behaviour from a multinational viewpoi...

In this paper, we propose a new risk-preference model for ranking pairs of normalised lotteries, random variables, each represents a risk factor obtained by converting the outcomes of the lottery into its mean multiplied by a risk factor. With the existence of an expected utility model, the preference ordering over a pair of such lotteries is conve...

EFSTATHIOU N., COLL A.M., AMEEN J. & DALY W. (2010) European Journal of Cancer Care20, 179–186 Do Greek healthcare users and healthcare providers share cancer care priorities? Analysing the results from two Delphi studies Traditionally healthcare providers have determined how healthcare resources should be allocated. However, in recent years, healt...

Advances in computer and information technology have opened a new avenue in the analysis of large and more detailed datasets that has become possible to observe. Most of the classical methodologies and techniques have become obsolete and fresh approaches of data analysis are overdue. In our previous articles Ameen JRM & Basha R (2006) and Basha R &...

In decision-making problems under uncertainty, mean-variance analysis consistent with expected utility theory plays an important role in analysing preferences for different alternatives. In this paper, a new approach for mean-variance analysis based on cumulative distribution functions is proposed. Using simulation, a new algorithm is developed, wh...

Dentistry in England and Wales has faced a great number of changes, the first of which pertains to remuneration. April 2006 saw the introduction of a new dental contract for the NHS. This contract included a new method of remuneration for general dental practice, replacing the old ‘item of service’ payment with a system in which funding was indepen...

User involvement is widely promoted within the European healthcare sector as an effective means of developing patient-centred health services. In addition, user involvement is recommended as an important aspect of developing effective cancer services. Despite the acknowledged benefits of user involvement, this concept has not been fully endorsed in...

Analytical capability limitations and strict modelling assumptions have hindered progress and the amount of information extracted from large datasets remained limited for a long time. The advent of computers and fast operating systems coupled with user-friendly platforms have changed that and made a grate impact on data mining and analysis that hav...

Cancer is a major problem globally and effective cancer care services are needed to lessen its burden on the community. In Greece, oncology health services provision is not located efficiently, resulting in few patients receiving high-quality care. Furthermore, shortages of health professionals and underdeveloped services such as primary care, home...

Fast and intelligent data mining has recently become an integral part of data analysis and a pre-requisite for modeling. This is largely due to the introduction of more sophisticated data collection tools and the possibility of observing large datasets at in-creased higher frequencies. This paper aims to investigate the current methodologies used f...

Recurrent brief depression (RBD) is a common disorder, poorly characterised in clinical studies. Some problems associated with the diagnosis and treatment of RBD may be improved if patients are easier to identify. This study investigates the distribution of RBD and personality types within three common syndromes. A survey of adult patients in one g...

The aim of this paper is to examine the pain profile of three types of day surgery operation and undertake a comparative analysis of the intensity and duration of pain over a consecutive 4-day period. Although studies on pain after day surgery have figured prominently, evidence is limited as to what intensity and duration of pain should be regarded...

In a recent article, Eamonn et al. [2005] have introduced algorithms for the detection of most unusual time series sub-sequences. These have great implications for fast and intelligent data mining attempts using advances in modern computer technology. The techniques are used to detect unusual sub-sequences in time series arising from a wide range o...

This paper reports a study assessing the impact of the provision of expert tele-advice to community nurses in enhancing their knowledge of leg ulcer care. Community nurses have traditionally been responsible for the care of patients with leg ulcers. However, access to expert medical and nursing advice has been restricted to the local hospital envir...

Tooth retention has been one of the main aims of oral care which in turn could have contributed to the social oral health divide. To investigate this issue further, data collected for a group audit was used to study the reasons for tooth extraction for patients attending for routine treatment at four dental practices. The practices served populatio...

Background: Postoperative pain is an expected phenomenon. However, its passage beyond acceptable limits is a common and costly experience. This is particularly the case in day surgery, partly because of the increasing demand to reduce waiting lists for elective surgery, and partly because of lack of knowledge about patients' experiences of postope...

Despite technological advancements in anaesthesia and analgesia, reported pain levels after day surgery remains high. Whilst it is unrealistic to expect no pain, the level that constitutes 'acceptable' pain remains unclear because of inconsistencies in reporting. These inconsistencies have resulted from different interpretations of what pain is and...

An increasing number of patients use the internet to obtain information about health. Although some information is available about how health professionals use the internet, little is known about how patients utilize this information. Some patients may actively seek information to assume more responsibility for their health. However, others may fee...

Reported pain after day surgery: a critical literature review Background. Despite technological advancements in anaesthesia and analgesia, reported pain levels after day surgery remains high. Whilst it is unrealistic to expect no pain, the level that constitutes 'acceptable' pain remains unclear because of inconsistencies in reporting. These incons...

Background A shortage of dentists has been highlighted in the UK media which has prompted policy makers to increase workforce levels with the expectation that oral health will improve. In this study, we demonstrate that the relationship between dental workforce, registration and oral health are insignificant without taking the population deprivatio...

This paper is a case study of the use of multiple linear regression analysis to quantify a claim for extra payment to a subcontractor for work on a substantial construction earth-moving project. The basis of the claim was that the client and main contractor required the work to be executed in ways other than that originally planned by the subcontra...

The aim of this study was to examine the impact of attendance patterns on oral health in the context of government policy on dental care and registration in the UK. The data involved 643 consecutive patient responses to a questionnaire on dental health taken from a survey that was conducted during 1998 in an urban area of Swansea. The survey contin...

An identification of the causes of road accident fatalities is becoming more important with the growth of technology, population, number of vehicles and the need for their use. Many authors have addressed the problem in the past but no universal findings have been obtained. The problem tends to be different under different environments and for diff...

A complete dynamic model is introduced within the Bayesian framework. This includes the dynamic linear model and the normal discount Bayesian model as special cases and extends to some well-known models with nonlinear predictors. A number of practically important models are formulated and simple recurrence formulas, similar to those of Kalman, are...

A new estimation procedure called sequential discount estimation is introduced in order to provide both linear and non-linear predictors. This is obtained by revising the classical locally linear model representations generalising the exponential weighted regression and the discount weighted estimation models. This allows a complete on-line learnin...

The parsimonious method of exponentially weighted regression (EWR) is attractive but limited in application because it depends upon just one discount factor. This paper generalizes the EWR approach to a method called discount weighted estimation (DWE) which allowed distinct model components to have different associated discount factors. The method...

This thesis is concerned with Bayesian forecasting and sequential estimation. The concept of multiple discounting is introduced in order to achieve parametric and conceptual parsimony. In addition, this overcomes many of the drawbacks of the Normal Dynamic Linear Model (DLM) specification which uses a system variance matrix. These drawbacks involve...

1. Summary Abstract: This research is concerned with developing a hierarchical profiling approach to model the daily domestic electricity data for South Wales. This is based on a decomposition of the data into two main components of deterministic and stochastic. The proposed modelling technique provides a better understanding of the observed proces...