Objective: We aimed to describe our experience and the learning curve of 450 cases of
robot-assisted pancreaticoduodenectomy (RPD) and optimize the surgical process so that our …

Objectives To investigate the optimal treatment pattern in patients with de novo metastatic
nasopharyngeal carcinoma (NPC). Methods We assessed 502 consecutive and unselected de …

… optimizing a specific process by necessity requires a process-specific approach, the way
in which we systematically optimize … be modified to be invaluable for optimization of full-scale …

… , clinical findings, and laboratory data was retrospectively reviewed and applied in this study.
… Second, an improved grasshopper optimization algorithm-based support vector machine …

… We retrospectively collected nutritional and clinical data on the first 7 days of ICU admission
of … Therefore, timing of high protein intake may be relevant for optimizing ICU, in-hospital and …

… each step in an iterative model-based retrospective motion correction. … optimization. In
addition, we demonstrate that with this high quality CNN image estimate, the motion optimization …

… It is important to recognize all the factors that affect hospital LOS to try to maximize the use
of medical resources, optimize hospital LOS and ultimately optimize the care of our patients. …

… We considered randomized controlled trials, prospective and retrospective cohort studies,
and case-control studies that examined pediatric patients (as defined by individual studies) for …

… and production profiles, with increasing renewable energy integration, as well as the high
voltage network technology, constitute a real challenge for human operators when optimizing …

… This study adopts a retrospective cohort design to investigate the prediction of hospital
readmission using cost-sensitive deep learning techniques. The cohort consists of patients …