RxOME3FAs are generally safe and well tolerated but not free of adverse effects. Post-marketing surveillance and observational studies are still necessary to identify long-term adverse effects and to confirm the safety and tolerability profiles of RxOME3FAs.
As the demand for taxi reservation services has increased, increasing the income of taxi drivers with advanced services has attracted attention. In this article, we propose a path decision framework that considers real-time spatial-temporal predictions and traffic network information. The goal is to optimize a taxi driver's profit when considering a reservation. Our framework contains four components. First, we build a grid-based road network graph for modeling traffic network information for speeding up the search process. Next, we conduct two prediction modules that adopt advanced deep learning techniques to guide proper search directions for recommending cruising locations. One module of the taxi demand prediction is used to estimate the pick-up probabilities of passengers in the city. Another one is destination prediction, which can predict the distribution of drop-off probabilities and capture the flow of potential passengers. Finally, we propose the H* (Heuristic-star) algorithm, which jointly considers pick-up probabilities, drop-off distribution, road network, distance, and time factors based on the attentive heuristic function to dynamically recommend next cruising locations. Compared with existing route planning methods, the experimental results on a real-world dataset have shown that our proposed approach is more effective and robust. Moreover, our designed search scheme in H* can decrease the computing time and allow the search process to be more efficient. To the best of our knowledge, this is the first work that focuses on guiding a route, which can increase the income of taxi drivers under the constraint of booking information.
Taiwan's National Health Insurance programme forced discontinuation of biologic use in Crohn's disease after a limited treatment duration, regardless of disease activity. This study investigated the retreatment rate and suboptimal outcomes [i.e., Crohn's disease–related surgeries, hospitalisations, emergency room visits and oral steroid flare‐ups] after forced discontinuation. This retrospective cohort study was conducted using data from the National Health Insurance Database. Patients who received ≥40 weeks of biologic treatment followed by a forced discontinuation were included. The time of biologic retreatment and the cumulative incidence of suboptimal outcomes after the forced discontinuation as well as related risk factors were analyzed. 215 patients were included [68% male]. At the beginning of biologic therapy, the mean age [±SD] was 35.7 [±13.5] years, and the disease duration was 4.46 [±3.52] years. The median [interquartile range] biologic treatment duration was 57.86 [50.3–83.3] weeks. Within the first year after forced discontinuation, 67% of patients [n = 144] were retreated with a second course of biologics, and 53% of patients [n = 114] experienced at least one suboptimal outcome. The independent risk factors associated with the occurrence of suboptimal outcomes were Crohn's disease–related emergency room visits and hospitalisations during biologic therapy [hazard ratio: 2.49; 95% CI: 1.59–3.89]. More than two‐thirds of CD patients required biological retreatment within 1 year after a forced discontinuation. The substantial proportion of patients with poor disease outcomes highlights the need to continue the biologic.
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