Priyanka Sinha

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BACKGROUND A series of recent papers have reported normative data from the general adult population for commonly used self-report mood scales. AIMS To bring together and supplement these data in order to provide a convenient means of obtaining percentile norms for the mood scales. METHOD A computer program was developed that provides point and interval(More)
Single nucleotide polymorphisms (SNPs) are the most common type of genetic variations in humans. Understanding the functions of SNPs can greatly help to understand the genetics of the human phenotype variation and especially the genetic basis of human complex diseases. The method to identify functional SNPs from a pool, containing both functional and(More)
Once the person's identity is established, the most important aspects of ubiquitous healthcare monitoring of elderly and chronic patients are location, activity, physiological and psychological parameters. Since smartphones have become the most pervasive computing platform today, it is only a logical extension to use the same in healthcare domain for(More)
Phrenic nerve injury is a well-recognised complication of cardiac surgery that can lead to disabling effects from diaphragmatic dysfunction, especially in children and patients with a history of chronic obstructive airway disease. Various mechanisms of injury have been recognised including hypothermia, mechanical trauma and possibly ischaemia. A clear(More)
Identifying the genetic basis of human adaptation has remained a central focal point of modern population genetics. One major area of interest has been the use of polymorphism data to detect so-called "footprints" of selective sweeps - patterns produced as a beneficial mutation arises and rapidly fixes in the population. Based on numerous simulation studies(More)
This paper details an application to monitor noise in a city. The soundscape application involves capturing of audio data using user's mobile phone, extracting the features and posting the same to the backend, running analytics on the same and then displaying it using a legend-based heat-map on a dashboard. This application can be widely used by the(More)
In this paper, we explore reduction of search space in sensor data analytics using social network graph theory. Human centric social network allow graphical connect of individuals either based on familiarity or common intent. This facilitates people centric applications as they now operate on a much smaller data set. Extending this analogy to sensor(More)
Schema matching, which establishes whether two objects are semantically related, has been a focus of data management research due to its critical role in enterprise information integration. Current schema matching techniques typically tend to exploit only a single method selected from matching schema structure, or syntax, or semantics, or data and(More)