Machine learning for the Zwicky transient facility

The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night. We describe here various machine learning (ML) implementations and plans to make the maximal use of the large data set by taking advantage of the temporal nature of the data, and further combining it with other data sets. We start with the initial steps of separating bogus candidates from real ones, separating stars and galaxies, and go on to the classification of real objects into various classes. Besides the usual methods (e.g., based on features extracted from light curves) we also describe early plans for alternate methods including the use of domain adaptation, and deep learning. In a similar fashion we describe efforts to detect fast moving asteroids. We also describe the use of the Zooniverse platform for helping with classifications through the creation of training samples, and active learning. Finally we mention the synergistic aspects of ZTF and LSST from the ML perspective

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

Comparative evaluation of lichtenstein tension free hernia repair vs laparoscopic tep repair of inguinal hernia

Introduction: During the last several decades numerous innovative and creative techniques have been introduced in an effort to manage patients with inguinal hernia. Despite the development of many newer technologies including that of optics, the treatment of inguinal hernia by laparoscopic method has still eluded many of our patients. Aim: The study was undertaken to compare efficacy, safety and patient satisfaction between these two procedures. Materials and methods: This prospective analytical study conducted in 100 consecutive cases of inguinal hernia were included. All patients underwent either Lichtenstein tension free hernia repair or laparoscopic TEP repair. The age/sex incidence, types of hernia, postoperative complications, post operative pain, hospital stay, and time to return to normal activities and recurrence were all evaluated .Results: The incidence of post operative complications was18% and 4% between the open and laparoscopic group respectively. The incidence of severe post operative pain was 5 in open group and 1 in the laparoscopic group. The overall incidence of post operative pain was significantly less in the laparoscopic group. The mean duration of hospital stay was found to be 3.84 days for the Lichtenstein Tension Free Hernia Repair group compared to the Laparoscopic TEP repair of Inguinal Hernia group which was around 3.44 days. Mean duration of time to return to normal activities was found to be 9.74 days for the Lichtenstein Tension Free Hernia Repair group compared to the Laparoscopic TEP Repair of Inguinal Hernia group which was around 8.22 days. There were no recurrences in either group. Conclusion: The laparoscopic TEP repair of inguinal hernia is a safe and acceptable procedure for repair of inguinal hernias