An Introduction to Survival Analytics, Types, and Its Applications

In today’s world, data analytics has become the integral part of every domain such as IOT, security, healthcare, parallel systems, and so on. The importance of data analytics lies at the neck of what type of analytics to be applied for which integral part of the data. Depending upon the nature and type of data, the utilization of the analytical types may also vary. The most important type of analytics which has been predominantly used up in health-care sector is survival analytics. The term survival analytics has originated from a medical domain of context which in turn determines and estimates the survival rate of patients. Among all the types of data analytics, survival analytics is the one which entirely depends upon the time and occurrence of the event. This chapter deals with the need for survival data analytics with an explanatory part concerning the tools and techniques that focus toward survival analytics. Also the impact of survival analytics with the real world problem has been depicted as a case study

How to report educational videos in robotic surgery: an international multidisciplinary consensus statement

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Robotic ventral rectopexy: Initial experience in an Indian tertiary health-care centre and review of literature

Background: Minimally invasive ventral rectopexy is a well-described technique for management of rectal prolapse. Robotic system has proven its advantage for surgeries in the pelvis. Applying this technique, ventral rectopexy can be done more precisely with minimal recurrence. With growing experience, the operative duration and cost of robotic ventral rectopexy can be reduced with better outcome. Few case studies have been described in literature with no study from Indian subcontinent. We describe a series of eight cases of robotic ventral rectopexy done for rectal prolapse in a tertiary health-care centre of India. Methods: A total of 8 patients were operated for complete rectal prolapse during the period from August 2015 to April 2016. da Vinci Si robotic surgical system was used with prolene or permacol mesh for ventral rectopexy. All patients were prospectively followed for a period minimum of 3 months. Pre- and intra-operative findings were recorded along with post-operative outcome. Results: Out of eight patients, prolene mesh was used in five patients and permacol mesh (porcine collagen) in three patients. Mean operative time (console time) was 177 min and mean total time was 218 min. Mean blood loss was 23.7 ml. Functional outcome was satisfactory in all patients. There was no significant complication in any patient with mean hospital stay of 2.2 days. With average follow-up of 8.8 months, no patient had recurrence. Conclusion: Robotic ventral rectopexy is a safe technique for rectal prolapse with excellent result in terms of functional outcome, recurrence and complications. With experience, the duration and cost can be comparable to laparoscopic technique