A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme.

Online transactions are still the backbone of the financial industry worldwide today. Millions of consumers use credit cards for their daily transactions, which has led to an exponential rise in credit card fraud. Over time, many variations and schemes of fraudulent transactions have been reported. Nevertheless, it remains a difficult task to detect credit card fraud in real-time. It can be assumed that each person has a unique transaction pattern that may change over time. The work in this article aims to (1) understand how deep reinforcement learning can play an important role in detecting credit card fraud with changing human patterns, and (2) develop a solution architecture for real-time fraud detection. Our proposed model utilizes the Deep Q network for real-time detection. The Kaggle dataset available online was used to train and test the model. As a result, a validation performance of 97.10% was achieved with the proposed deep learning component. In addition, the reinforcement learning component has a learning rate of 80%. The proposed model was able to learn patterns autonomously based on previous events. It adapts to the pattern changes over time and can take them into account without further manual training.

COVID-19 stress and wellbeing: A phenomenological qualitative study of Pakistani Medical Doctors.

The COVID-19 stress and increased job pressure have largely affected healthcare professionals' various life domains. This study particularly explores the effect of stress caused by treating COVID-19 patients on medical doctors' wellbeing. To explore this phenomenon, we interviewed 12 doctors treating COVID-19 patients in hospitals of metropolitan cities in Pakistan. The thematic analysis using NVivo V.12 Plus software of interviews resulted in four major themes, COVID-19 Stressors, Effects of Stress, Nature and Personality, Stress Relievers, and Stress Coping Strategies. Physicians were physically and emotionally stressed as a result of the intense work. Although they were carrying a lot of pain and hurt on their insides, participants demonstrated a sense of professional determination to overcome obstacles. Physicians are currently dealing with their emotional issues, and they should have access to complete professional help to ensure their wellbeing. The COVID-19 pandemic's mental health effects are anticipated to last far longer than the physical health effects. This study is well-positioned to investigate frontline physicians' opinions and attitudes concerning the COVID-19 and its impact on their daily lives and mental health. This research will help implement context-specific innovative mental health solutions to help the frontline workers.