- Financial Risk and Volatility Modeling
- Monetary Policy and Economic Impact
- Market Dynamics and Volatility
- Stock Market Forecasting Methods
- Cardiac pacing and defibrillation studies
- Financial Distress and Bankruptcy Prediction
- Cardiac Arrhythmias and Treatments
- Forecasting Techniques and Applications
- Cardiac, Anesthesia and Surgical Outcomes
- Imbalanced Data Classification Techniques
- Acne and Rosacea Treatments and Effects
- Skin Protection and Aging
- Anesthesia and Pain Management
- Dermatology and Skin Diseases
- Global Financial Crisis and Policies
- Vascular anomalies and interventions
- Cardiovascular Syncope and Autonomic Disorders
- Financial Markets and Investment Strategies
- Reservoir Engineering and Simulation Methods
- Hospital Admissions and Outcomes
- Credit Risk and Financial Regulations
- Big Data and Business Intelligence
- Accounting Theory and Financial Reporting
- Dermatologic Treatments and Research
- Nausea and vomiting management
University of Warsaw
2014-2023
Corona (Poland)
2014-2022
Rzeszów University
2018-2020
Instytut Nauk Ekonomicznych
2020
Wojewódzki Szpital Zespolony
2017-2018
To identify factors improving symptoms and shortening duration of AA.The observational cohort study was performed in 111 patients with AA (>25 y.o.) 2015-2016. Clinical manifestation, previous treatments, environmental risk features juvenile acne affecting were assessed.The maximum severity persistent significantly lower after 25 years age, as compared to adolescence (7.2 vs. 6.4; p = .0027). The number therapies used twice high (22 11). sufficient leave scars than (6.0 7.3; .0001) 22%...
Mesenchymal stem cells (MSCs) are gaining rising interest in gynecology and obstetrics. MSCs immunomodulatory properties suitable enough to reduce perinatal morbidity caused by inflammation premature neonates. The aim of this study was evaluate compare the ability inhibit allo-activated lymphocytes proliferation derived from different sources: amniotic membrane (AM), umbilical cord (UC) adipose tissue (AT).MSCs were isolated AM (n = 7) UC 6) AT healthy women. Cells characterized flow...
Mortality, whether in or out of hospital, increases with age. However, studies evaluating in-hospital mortality large populations did not distinguish between surgical and non-surgical causes death, either young elderly patients. The aim the study was to assess a group patients, special focus on elderly.Data from database Polish National Health Fund (NHF) regarding hospitalizations adult (≥ 18 years) patients related procedures years 2009-2013 were used mortality.15,345,025 assessed. mean...
Introduction. Each year diabetes affects larger and number of people. Despite this fact, the people suffering from in Poland is not known precisely. In order to assess prevalence, thesis aims at assessing prevalence years 2010–2014 total Polish population by using databases National Health Fund. Material methods. period 1st January 2010 until 31st December 2014 patients were distinguished according PESEL (Personal Identification) numbers: 1. for whom health care providers have indicated...
Abstract The aim of the presented study was to assess quality VaR forecasts in various states economic situation. Two approaches based on extreme value theory were compared: Block Maxima and Peaks Over Threshold. Forecasts made daily closing prices 10 major indices European countries, divided into two groups: emerging countries (Bulgaria, Czech Republic, Lithuania, Latvia, Poland, Slovakia Hungary) developed (England, France Germany). Three situation analysed: pre-crisis (2007), crisis...
Identifying prognostic factors that are predictive of in-hospital mortality for patients in surgical units may help identifying high-risk and developing an approach to reduce mortality. This study analyzed predictors based on outcomes obtained from a national database adult patients.This retrospective design collected data the National Health Fund Poland comprised 2,800,069 hospitalizations wards during one calendar year. Predictors which were included: patient's gender age,...
Numerous advances in the modeling techniques of value-at-risk (VaR) have provided financial institutions with a wide range market risk approaches. However, which model to use depends on state volatility. We present backtesting results for 1% and 2.5% VaR six indexes from emerging developed countries using several best-known models, including generalized autoregressive conditional heteroscedasticity (GARCH), extreme value theory (EVT), (CAViaR) filtered historical simulation (FHS) multiple...
The multiclass prediction approach to the problem of recognizing state drill by classifying images drilled holes into three classes is presented. Expert judgement was made on basis quality hole, dividing collected photographs classes: “very fine,” “acceptable,” and “unacceptable.” aim research create a model capable identifying different levels holes, where reduced would serve as warning that about wear down. This could reduce damage caused blunt tool. To perform this task, real-world data...
Background: Adult acne is a chronic disease with uncontrolled exacerbations, associated psychological burden of the patient and medical expenses.Aims: The aim study was to check efficacy maintenance therapy adult acne. It essential part treatment as usually has long-lasting recurring course.Methods: In study, in patients evaluated. this 100 (aged 25–39 years age) mild moderate were enrolled.Results: (adapalene 0.1% three times week low doses alpha beta hydroxy acids) led significant decrease...
This paper compares model development strategies based on different performance metrics. The study was conducted in the area of credit risk modeling with usage diverse metrics, including general-purpose Area Under ROC curve (AUC), problem-dedicated Expected Maximum Profit (EMP) and novel case-tailored Calculated (CP). metrics were used to optimize competitive scoring models two predictive algorithms that are widely financial industry: Logistic Regression extreme gradient boosting machine...
Endometrium undergoes regular, cyclic tissue remodeling mostly associated to the endocrine system status. It is well-known fact that steroid hormones are strongly responsible for changes in endometrium. The precise mechanism of their action still under investigation. aim study was evaluate expression metalloproteinases 2 and 7 (MMP-2, -7) inhibitor metalloproteinase 1 (TIMP-1) human endometrium relation serum concentrations estradiol progesterone during different phases menstrual cycle.The...
Abstract Statistical learning models have profoundly changed the rules of trading on stock exchange. Quantitative analysts try to utilise them predict potential profits and risks in a better manner. However, available studies are mostly focused testing increasingly complex machine selected sample stocks, indexes etc. without thorough understanding consideration their economic environment. Therefore, goal article is create an effective forecasting model daily returns for preselected company...
There have been numerous advances in financial time series forecasting recent years. Most of them use deep learning techniques. We identified 15 outstanding papers that published the last seven years and tried to prove superiority their approach one-dimensional using In order objectively compare these approaches, we analysed proposed statistical models then reviewed reproduced them. The were trained predict, one day advance, value 29 indices stock commodity prices over five different periods...
Performance measures are crucial in selecting the best machine learning model for a given problem. Estimating classical performance by subsampling methods like bagging or cross-validation has several weaknesses. The most important ones inability to test significance of difference, and lack interpretability. Recently proposed Elo-based Predictive Power (EPP)-a meta-measure performance, is an attempt address these However, EPP based on wrong assumptions, so its estimates may not be correct....
Patients with chronic cardiorenal syndrome type 2 (T2-CRS) who qualify for resynchronization therapy (CRT) are exposed perioperatively to potentially nephrotoxic factors including contrast agents and blood loss.The objective of this prospective interventional study was assess the effects CRT on renal function in patients T2-CRS within first 48 hours following implantation. Initially, 76 (15% female; aged 69 ± 9.56 years) heart failure (New York Heart Association classes II-IV), ejection...
Rapid development of advanced modelling techniques gives an opportunity to develop tools that are more and accurate. However as usually, everything comes with a price in this case, the pay is loose interpretability model while gaining on its accuracy precision. For managers control effectively manage credit risk for regulators be convinced quality too high. In paper, we show how take scoring analytics next level, namely present comparison various predictive models (logistic regression,...
Abstract In the study, two-step EWS-GARCH models to forecast Value-at-Risk is presented. The allows different distributions of returns or forecasting be used in depending on a forecasted state financial time series. study with GARCH(1,1) and GARCH(1,1), amendment empirical distribution random errors as model tranquillity tail, exponential Pareto turbulence were considered. evaluation forecasts was based analysis loss functions. Obtained results indicate that may improve quality generated...
Knowledge of in -hospital mortality predictors is crucial for improving patients' outcomes.A better understanding may help to identify high -risk patients and develop strategies reduce rates.In depends on numerous factors related patients, medications, 3 IntroductIon In (deaths that occur during hospitalization) a relevant outcome hospital admission and, like other measures (eg, 30 -day mortality), has been used assess the quality care.Significant variations rates are commonly reported...
Secondary immunodeficiencies are frequently observed after allo-HSCT. The efficacy of subcutaneous IgG preparations in this population is unknown. A retrospective single-institution study involved 126 adult patients transplanted 2012-2019 for hematological malignancies. Patients were tested every 2-3 weeks plasma concentration during the 1st year transplantation and supplemented with facilitated immunoglobulin when they either had < 500 mg/dl or between 700 recurrent infection. mg/dL was...
The increasing complexity of Artificial Intelligence models poses challenges to interpretability, particularly in the healthcare sector. This study investigates impact deep learning model and Explainable AI (XAI) efficacy, utilizing four ResNet architectures (ResNet-18, 34, 50, 101). Through methodical experimentation on 4,369 lung X-ray images COVID-19-infected healthy patients, research evaluates models' classification performance relevance corresponding XAI explanations with respect...
The conventional, loss of resistance technique for identification the epidural space is highly dependent on anaesthetist's personal experience and susceptible to technical errors. Therefore, an alternative, automated was devised overcome drawbacks traditional method. aim study compare efficacy complication rate between two groups - automatic syringe conventional methods.47 patients scheduled orthopaedic gynaecology procedures under anaesthesia were enrolled into study. number attempts, ease...