Małgorzata Bach

• PhD
• Silesian University of Technology

In the longitudinal, retrospective study, the ability of the FRAX, Garvan, and POL-RISK algorithms to predict osteoporotic fractures was compared in a group of 457 women. Using the rigid threshold of 10% showed a significant discrepancy in sensitivity and specificity of all tools. New thresholds for high risk of fractures were established for each...

Introduction: In daily practice the diagnostic process for osteoporosis in elderly patients should also include physical assessment. The aim of the study was to verify the hypothesis that height loss (HL) predicts fracture incidence. Material and methods: The study was performed in an epidemiological sample of postmenopausal women recruited in t...

The study shows that the use of unified cutoff thresholds to identify high fracture risks by two popular calculators—FRAX and Garvan—leads to a significant discrepancy between the prediction of fractures and their actual prevalence over the period of 10 years. On the basis of the ROC analyses, a proposal of differentiated thresholds is presented. T...

Background: The aim of a longitudinal, retrospective study was to establish variables predicting fracture incidence over a decade. Methods: The study sample comprises a group of 457 postmenopausal women aged over 55 years, recruited from the database of an outpatient osteoporotic clinic. Several variables with potential influence on bone status,...

Introduction: The fracture risk assessment is essential for the diagnostic process in osteoporosis. Objective: The aim of the study was to develop an algorithm for fracture risk prediction. Patients and methods: Bone status was investigated in a population-based cohort of postmenopausal women, their mean age being 66.4 (SD=7.8) years. After th...

Class imbalance is a common problem in machine learning tasks, which often leads to sub-optimal performance of classifiers, where the classification of a new example is based on minimizing the error rate. Researchers have worked on this problem by developing various methods of resampling or modification of existing classification algorithms, howeve...

The purpose of the research was to assess the genetic and environmental influences on bone properties. One hundred thirty-two pairs of twins (99/33 monozygotic/dizygotic) underwent anthropometric measurements and phalangeal quantitative ultrasound (DBM Sonic 1200, Igea, Italy) measuring the amplitude speed of sound (AD-SoS, m/s). The mean age was 1...

The paper presents the concept of a control unit, i.e., a scenario player, for interactive training pilots in flight simulators. This scenario player is modelled as a hierarchy of finite state machines. Such an approach makes it possible to separate the details of an augmented reality display device which is used in training, from the core module o...

New diseases constantly endanger the lives of populations, and, nowadays, they can spread easily and constitute a global threat. The COVID-19 pandemic has shown that the fight against a new disease may be difficult, especially at the initial stage of the epidemic, when medical knowledge is not complete and the symptoms are ambiguous. The use of mac...

In the DECODE project, data were collected from 3,114 surveys filled by symptomatic patients RT-qPCR tested for SARS-CoV-2 in a single university centre in March-September 2020. The population demonstrated balanced sex and age with 759 SARS-CoV-2( +) patients. The most discriminative symptoms in SARS-CoV-2( +) patients at early infection stage were...

In this paper we focus on class imbalance issue which often leads to sub-optimal performance of classifiers. Despite many attempts to solve this problem, there is still a need to look for better ones, which can overcome the limitations of known methods. For this reason we developed a new algorithm that in contrast to traditional random undersamplin...

Efforts of the scientific community led to the development of multiple screening approaches for COVID-19 that rely on machine learning methods. However, there is a lack of works showing how to tune the classification models used for such a task and what the tuning effect is in terms of various classification quality measures. Understanding the impa...

Distinguishing COVID-19 from other flu-like illnesses can be difficult due to ambiguous symptoms and still an initial experience of doctors. Whereas, it is crucial to filter out those sick patients who do not need to be tested for SARS-CoV-2 infection, especially in the event of the overwhelming increase in disease. As a part of the presented resea...

Highly imbalanced data, which occurs in many real-world applications, often makes machine-based processing difficult or even impossible. The over- and under-sampling methods help to tackle this issue, however they often have serious shortcomings. In this paper different methods of class balancing, especially those obtained by undersampling, are ana...

Nowadays there is a great demand to improve teaching in technical sciences by the intensification of practical skills of students. Realisation of this challenge seems to be especially difficult in context of distance learning, because its tools are generally not equipped with appropriate mechanisms. Our research corresponds with this trend, as we p...

The class imbalance problem is encountered in real-world applications of machine learning and results in suboptimal performance during data classification. This is especially true when data is not only imbalanced but also high dimensional. The class imbalance is very often accompanied by a high dimensionality of datasets and in such a case these pr...

The aim of the study was to establish factors with an impact on fracture risk and to develop an algorithm to predict osteoporotic fracture. A total of 978 postmenopausal women from the epidemiological, population-based RAC-OST-POL study with a mean age of 65.7 ± 7.3 years were enrolled. At baseline, bone mineral density at hip and clinical risk fac...

The registered medical data is often multidimensional and highly imbalanced, making machine-based data processing difficult or even impossible. The proper introductory preparation of the data of patients is often the crucial step which determines the final success. Due to the fact that this work is the presentation of preliminary stage of more comp...

The financial markets activity is a worldwide subject of numerous studies and analyses, which use a variety of methods and research tools. Such methods may be found, inter alia, in the field of relatively new but rapidly developing knowledge, which gives the chance to study the prediction of chaotic time series in different branches of economics. I...

The rapid growth of data volumes which store the increasing amount of information makes the necessity of searching for the effective methods of data storing and processing. Some researches on this field recommend changing the row data organization that is classical for DBMS to the columnar one and/or the in-memory approach usage. The article presen...

Osteoporosis is a frequent bone disease without typical early symptoms but with serious complications e.g. low-energy bone fractures. Patients with risk factors should be screened for proper diagnosis as early as possible. Unfortunately, the registered medical data are often highly imbalanced. That is why the machine-based data processing is diffic...

The conception of storing and managing data directly in RAM appeared some time ago but in spite of very good efficiency, it was impossible to massive implementation because of hardware limitations. Currently, it is possible to store whole databases in memory as well as there are some mechanisms to organize pieces of data as in-memory databases. It...

The impact of the development of the IT and telecommunication technologies is observed nowadays in almost every area of life, including the financial markets activities. The alternations in technologies and legal regulations significantly changed the functioning of stock exchanges as well. The ability to place orders directly via the Internet incre...

The development of the IT technology and its enormous impact on many areas of life also enforces taking into account its possibilities for marketing purposes. Increasingly widespread access to the Internet and the increasing diversity of the available tools led many institutions to spread their offer through advertising the products and/or services...

Taking into account the current leading role of techniques based on the incremental-iterative programming, the system that allows the optimization of project teams developing software in the Agile methodology Scrum technique, is proposed in the paper. Presented tool automates the process of development project management. It is distinguished from t...

NoSQL database systems have been becoming more and more popular and accepted by a database users thus their rapid development is nowadays observed. Because of this fact, modern database engines and their categories in the form of the Venn diagram are mentioned in the paper. Besides, the possibilities of using declarative languages that are modeled...

Nowadays, many database administrators come across problems regarding storing big amount of data. On the one hand there are made demands of improving of data access efficiency but on the other hand, ways of a storage cost reduction are searched for. One of popular approaches to enhancing database systems is using virtualization technologies. They d...

Nowadays vision systems are widely used in many areas of human life. They are applied to industrial quality assurance, burglar alarms, intelligent control systems of traffic control, car parks monitoring or e.g. to the border crossings control. The activity of such systems is concerned with the need of large amounts of LOB data types storage. In or...

Although Poland has been a member of the European Union (EU) for 7 years and internal borders control of the member states have been already lifted (on 21st December 2007 when Poland joined the Schengen Agreement), the safety of a common external borders problem is still actual. Taking into consideration fact that one of longest segments of EU exte...

Evolution of an Internet had measurable influence on progress in sphere of vision systems. For 20 years, from the first introduction in the world plug-in camera, this branch of the technology incredible widened one's possibilities. Nowadays vision systems are widely used in many areas of human life. They are applied, for example, to industrial qual...

This paper describes the need for intuitive interfaces to complex systems that take their origin from the concepts of Semantic Web. Then it shows how Semantic Integration System HILLS can benefit from being merged with Pseudo Natural Language layer of Metalog system. The cooperation of these two systems is not perfect though - second part of the pa...