Automatic ICD-10 classification of cancers from free-text death certificates

Objective Death certificates provide an invaluable source for cancer mortality statistics; however, this value can only be realised if accurate, quantitative data can be extracted from certificates – an aim hampered by both the volume and variable nature of certificates written in natural language. This paper proposes an automatic classification system for identifying cancer related causes of death from death certificates. Methods Detailed features, including terms, n-grams and SNOMED CT concepts were extracted from a collection of 447,336 death certificates. These features were used to train Support Vector Machine classifiers (one classifier for each cancer type). The classifiers were deployed in a cascaded architecture: the first level identified the presence of cancer (i.e., binary cancer/nocancer) and the second level identified the type of cancer (according to the ICD-10 classification system). A held-out test set was used to evaluate the effectiveness of the classifiers according to precision, recall and F-measure. In addition, detailed feature analysis was performed to reveal the characteristics of a successful cancer classification model. Results The system was highly effective at identifying cancer as the underlying cause of death (F-measure 0.94). The system was also effective at determining the type of cancer for common cancers (F-measure 0.7). Rare cancers, for which there was little training data, were difficult to classify accurately (F-measure 0.12). Factors influencing performance were the amount of training data and certain ambiguous cancers (e.g., those in the stomach region). The feature analysis revealed a combination of features were important for cancer type classification, with SNOMED CT concept and oncology specific morphology features proving the most valuable. Conclusion The system proposed in this study provides automatic identification and characterisation of cancers from large collections of free-text death certificates. This allows organisations such as Cancer Registries to monitor and report on cancer mortality in a timely and accurate manner. In addition, the methods and findings are generally applicable beyond cancer classification and to other sources of medical text besides death certificates.

Traffic safety at road–rail level crossings using a driving simulator and traffic simulation

Several intelligent transportation systems (ITS) were used with an advanced driving simulator to assess its influence on driving behavior. Three types of ITS interventions were tested: video in vehicle, audio in vehicle, and on-road flashing marker. The results from the driving simulator were inputs for a developed model that used traffic microsimulation (VISSIM 5.4) to assess the safety interventions. Using a driving simulator, 58 participants were required to drive through active and passive crossings with and without an ITS device and in the presence or absence of an approaching train. The effect of changes in driver speed and compliance rate was greater at passive crossings than at active crossings. The slight difference in speed of drivers approaching ITS devices indicated that ITS helped drivers encounter crossings in a safer way. Since the traffic simulation was not able to replicate a dynamic speed change or a probability of stopping that varied depending on ITS safety devices, some modifications were made to the traffic simulation. The results showed that exposure to ITS devices at active crossings did not influence drivers’ behavior significantly according to the traffic performance indicator, such as delay time, number of stops, speed, and stopped delay. However, the results of traffic simulation for passive crossings, where low traffic volumes and low train headway normally occur, showed that ITS devices improved overall traffic performance.

Queensland pharmacist immunisation pilot phase 1 pharmacist vaccination - Influenza final report

The results of the pilot demonstrated that a pharmacist delivered vaccinations services is feasible in community pharmacy and is safe and effective. The accessibility of the pharmacist across the influenza season provided the opportunity for more people to be vaccinated, particularly those who had never received an influenza vaccine before. Patient satisfaction was extremely high with nearly all patients happy to recommend the service and to return again next year. Factors critical to the success of the service were: 1. Appropriate facilities 2. Competent pharmacists 3. Practice and decision support tools 4. In-­‐store implementation support We demonstrated in the pilot that vaccination recipients preferred a private consultation area. As the level of privacy afforded to the patients increased (private room vs. booth), so did the numbers of patients vaccinated. We would therefore recommend that the minimum standard of a private consultation room or closed-­‐in booth, with adequate space for multiple chairs and a work / consultation table be considered for provision of any vaccination services. The booth or consultation room should be used exclusively for delivering patient services and should not contain other general office equipment, nor be used as storage for stock. The pilot also demonstrated that a pharmacist-­‐specific training program produced competent and confident vaccinators and that this program can be used to retrofit the profession with these skills. As vaccination is within the scope of pharmacist practice as defined by the Pharmacy Board of Australia, there is potential for the universities to train their undergraduates with this skill and provide a pharmacist vaccination workforce in the near future. It is therefore essential to explore appropriate changes to the legislation to facilitate pharmacists’ practice in this area. Given the level of pharmacology and medicines knowledge of pharmacists, combined with their new competency of providing vaccinations through administering injections, it is reasonable to explore additional vaccines that pharmacists could administer in the community setting. At the time of writing, QPIP has already expanded into Phase 2, to explore pharmacists vaccinating for whooping cough and measles. Looking at the international experience of pharmacist delivered vaccination, we would recommend considering expansion to other vaccinations in the future including travel vaccinations, HPV and selected vaccinations to those under the age of 18 years. Overall the results of the QPIP implementation have demonstrated that an appropriately trained pharmacist can deliver safely and effectively influenza vaccinations to adult patients in the community. The QPIP showed the value that the accessibility of pharmacists brings to public health outcomes through improved access to vaccinations and the ability to increase immunisation rates in the general population. Over time with the expansion of pharmacist vaccination services this will help to achieve more effective herd immunity for some of the many diseases which currently have suboptimal immunisation rates.

Ambidextrous leadership and team innovation

Purpose The purpose of this paper is to report the first empirical test of the recently proposed ambidexterity theory of leadership for innovation (Rosing et al., 2011). This theory proposes that the interaction between two complementary leadership behaviors – opening and closing – predicts team innovation, such that team innovation is highest when both opening and closing leadership behaviors are high. Design/methodology/approach Multi-source survey data came from 33 team leaders of architectural and interior design firms and 90 of their employees. Findings Results supported the interaction hypothesis, even after controlling for leaders’ transformational leadership behavior and general team success. Research limitations/implications The relatively small sample size and the cross-sectional design are potential limitations of the study. The findings provide initial support for the central hypothesis of the ambidexterity theory of leadership for innovation. Practical implications The results suggest that organizations could train team leaders’ ambidextrous leadership behaviors to increase team innovation. Social implications Identifying ways to facilitate organizational innovation is important, as it contributes to employment and company growth as well as individual and societal well-being. Originality/value This multi-source study contributes to the literatures on leadership and innovation in organizations by showing that ambidextrous leadership behaviors predict team innovation above and beyond transformational leadership behavior.

"Who leaves suicide notes? An exploration of victim characteristics and suicide method of completed suicides in Queensland"

The objective of this study is to address the question: are those who leave suicide notes representative of the larger population of those who commit suicide? The method involves an analysis of a full population of suicides by residents of Queensland, Australia for the full year of 2004, with the information drawn from Coronial files. Our overall results suggest that, and in support of previous research, the population who leaves suicide notes are remarkably similar to those who do not. Differences are identified in four areas: first, and in contrast to prior research, females are less likely to leave a suicide note; second, and in support of previous research, Aboriginal Australians are less likely to leave suicide notes; third, and in support of some previous research, those who use gas as a method of suicide are more likely to leave notes, while those who use a vehicle or a train are less likely to leave notes; finally, our findings lend support to research which finds that those with a diagnosed mental illness are less likely to leave notes. The discussion addresses some of the reasons these disparities may have occurred, and continues the debate over the degree to which suicide notes give insight into the larger suicide population

Motherland [dramaturg]

'Motherland' is one of three new performance works that were a component of Kathryn Kelly's PhD by Performance at the University of Queensland: 'Pedagogy of Dramaturgy: A Practice Framework to train Dramaturgs." Kathryn Kelly was engaged as a dramaturg for the performance of this work.

Waters Wars [Dramaturg]

'Water Wars' is one of three new performance works that were a component of Kathryn Kelly's PhD by Performance at the University of Queensland: 'Pedagogy of Dramaturgy: A Practice Framework to train Dramaturgs." Kathryn Kelly was engaged as a dramaturg on each performance work, and each is the basis of case study material used in the training program developed as part of the PhD.

The Rat Trap [Dramaturg]

"The Rat Trap" is a new performance work undertaken as part of Kathryn Kelly's "PhD by Performance" at the University of Queensland: "The Pedagogy of Dramaturgy: A Practice Framework to Train Dramaturgs." Kathryn Kelly worked as dramaturg on each project, which served as case study material for the training program I developed as part of the thesis.

Scheduling techniques to optimise sugarcane rail transport systems

In Australia, railway systems play a vital role in transporting the sugarcane crop from farms to mills. In this paper, a novel job shop approach is proposed to create a more efficient integrated harvesting and sugarcane transport scheduling system to reduce the cost of sugarcane transport. There are several benefits that can be attained by treating the train scheduling problem as a job shop problem. Job shop is generic and suitable for all trains scheduling problems. Job shop technique prevents operating two trains on one section at the same time because it considers that the section or the machine is unique. This technique is more promising to find better solutions in reasonable computation times.

Deploying speaker verification techniques to vision-based RPA detect and avoid

Detect and Avoid (DAA) technology is widely acknowledged as a critical enabler for unsegregated Remote Piloted Aircraft (RPA) operations, particularly Beyond Visual Line of Sight (BVLOS). Image-based DAA, in the visible spectrum, is a promising technological option for addressing the challenges DAA presents. Two impediments to progress for this approach are the scarcity of available video footage to train and test algorithms, in conjunction with testing regimes and specifications which facilitate repeatable, statistically valid, performance assessment. This paper includes three key contributions undertaken to address these impediments. In the first instance, we detail our progress towards the creation of a large hybrid collision and near-collision encounter database. Second, we explore the suitability of techniques employed by the biometric research community (Speaker Verification and Language Identification), for DAA performance optimisation and assessment. These techniques include Detection Error Trade-off (DET) curves, Equal Error Rates (EER), and the Detection Cost Function (DCF). Finally, the hybrid database and the speech-based techniques are combined and employed in the assessment of a contemporary, image based DAA system. This system includes stabilisation, morphological filtering and a Hidden Markov Model (HMM) temporal filter.

Lateral impact derailment mechanisms, simulation and analysis

Lateral collisions between heavy road vehicles and passenger trains at level crossings and the associated derailments are serious safety issues. This paper presents a detailed investigation of the dynamic responses and derailment mechanisms of trains under lateral impact using a multi-body dynamics simulation method. Formulation of a three-dimensional dynamic model of a passenger train running on a ballasted track subject to lateral impact caused by a road truck is presented. This model is shown to predict derailment due to wheel climb and car body overturning mechanisms through numerical examples. Sensitivities of the truck speed and mass, wheel/rail friction and the train suspension to the lateral stability and derailment of the train are reported. It is shown that improvements to the design of train suspensions, including secondary and inter-vehicle lateral dampers have higher potential to mitigate the severity of the collision-induced derailments.

Comparison of the sensitivity of different sensor technologies to imbalance severity in low speed wind turbines

Imbalance is not only a direct major cause of downtime in wind turbines, but also accelerates the degradation of neighbouring and downstream components (e.g. main bearing, generator). Along with detection, the imbalance quantification is also essential as some residual imbalance always exist even in a healthy turbine. Three different commonly used sensor technologies (vibration, acoustic emission and electrical measurements) are investigated in this work to verify their sensitivity to different imbalance grades. This study is based on data obtained by experimental tests performed on a small scale wind turbine drive train test-rig for different shaft speeds and imbalance levels. According to the analysis results, electrical measurements seem to be the most suitable for tracking the development of imbalance.

Bayesian estimation of small effects in exercise and sports science

The aim of this paper is to provide a Bayesian formulation of the so-called magnitude-based inference approach to quantifying and interpreting effects, and in a case study example provide accurate probabilistic statements that correspond to the intended magnitude-based inferences. The model is described in the context of a published small-scale athlete study which employed a magnitude-based inference approach to compare the effect of two altitude training regimens (live high-train low (LHTL), and intermittent hypoxic exposure (IHE)) on running performance and blood measurements of elite triathletes. The posterior distributions, and corresponding point and interval estimates, for the parameters and associated effects and comparisons of interest, were estimated using Markov chain Monte Carlo simulations. The Bayesian analysis was shown to provide more direct probabilistic comparisons of treatments and able to identify small effects of interest. The approach avoided asymptotic assumptions and overcame issues such as multiple testing. Bayesian analysis of unscaled effects showed a probability of 0.96 that LHTL yields a substantially greater increase in hemoglobin mass than IHE, a 0.93 probability of a substantially greater improvement in running economy and a greater than 0.96 probability that both IHE and LHTL yield a substantially greater improvement in maximum blood lactate concentration compared to a Placebo. The conclusions are consistent with those obtained using a ‘magnitude-based inference’ approach that has been promoted in the field. The paper demonstrates that a fully Bayesian analysis is a simple and effective way of analysing small effects, providing a rich set of results that are straightforward to interpret in terms of probabilistic statements.

Minimising lateral impact derailment potential at level crossings through guard rails

Derailments due to lateral collisions between heavy road vehicles and passenger trains at level crossings (LCs) are serious safety issues. A variety of countermeasures in terms of traffic laws, communication technology and warning devices are used for minimising LC accidents; however, innovative civil infrastructure solution is rare. This paper presents a study of the efficacy of guard rail system (GRS) to minimise the derailment potential of trains laterally collided by heavy road vehicles at LCs. For this purpose, a three-dimensional dynamic model of a passenger train running on a ballasted track fitted with guard rail subject to lateral impact caused by a road truck is formulated. This model is capable of predicting the lateral collision-induced derailments with and without GRS. Based on dynamic simulations, derailment prevention mechanism of the GRS is illustrated. Sensitivities of key parameters of the GRS, such as the flange way width, the installation height and contact friction, to the efficacy of GRS are reported. It is shown that guard rails can enhance derailment safety against lateral impacts at LCs.

Visual performance at passive level crossings with long sighting distances

The third edition of the Australian Standard AS1742 Manual of Uniform Traffic Control Devices Part 7 provides a method of calculating the sighting distance required to safely proceed at passive level crossings based on the physics of moving vehicles. This required distance becomes greater with higher line speeds and slower, heavier vehicles so that it may return quite a long sighting distance. However, at such distances, there are also concerns around whether drivers would be able to reliably identify a train in order to make an informed decision regarding whether it would be safe to proceed across the level crossing. In order to determine whether drivers are able to make reliable judgements to proceed in these circumstances, this study assessed the distance at which a train first becomes identifiable to a driver as well as their, ability to detect the movement of the train. A site was selected in Victoria, and 36 participants with good visual acuity observed 4 trains in the 100-140 km/h range. While most participants could detect the train from a very long distance (2.2 km on average), they could only detect that the train was moving at much shorter distances (1.3 km on average). Large variability was observed between participants, with 4 participants consistently detecting trains later than other participants. Participants tended to improve in their capacity to detect the presence of the train with practice, but a similar trend was not observed for detection of the movement of the train. Participants were consistently poor at accurately judging the approach speed of trains, with large underestimations at all investigated distances.