Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Meeta Pradhan"'
Publikováno v:
ICHI
Networks are powerful and flexible structures for modeling relationships in medical and biological systems, but in a traditional first-order network representation, an edge typically expresses a relationship between a single pair of nodes. In order t
Autor:
Doreen L. Eastes, Amber L. Mosley, Bradley J. Mills, Meeta Pradhan, Anna Geisinger, Daniel H. Robertson, Zane Baird, Scott M. McAhren, Aruna B. Wijeratne, Rong Qi, Anantha Shekhar, Michael Pugia
Publikováno v:
Archives of autoimmune diseases
BACKGROUNDDiabetes is a complex, multi-symptomatic disease that drives healthcare costs through its complications as the prevalence of this disease grows rapidly world-wide. Real-world electronic health records (EHRs) coupled with patient biospecimen
Autor:
Rohit Pawar, Meeta Pradhan, Rajeev R. Raje, Apeksha Jangam, Anu Mary Chacko, Preeti Mulay, Vishwesh Janardhana
Publikováno v:
2018 IEEE Punecon.
Analyzing enormous amounts of healthcare data to obtain meaningful insights requires efficient and timely solutions. Diabetes is one of the most critical chronic healthcare problems that affect other organs of the human body. Hospital readmission, fo
BACKGROUND The increasing use of social media and mHealth apps has generated new opportunities for health care consumers to share information about their health and well-being. Information shared through social media contains not only medical informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7680861f17ad8c0d850702205580d5ce
https://doi.org/10.2196/preprints.9162
https://doi.org/10.2196/preprints.9162
Publikováno v:
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
Self Organizing Map (SOM) is a significant algorithmic methodology to visualize data spaces of larger dimensions. Accurate analysis of the input data requires a well-trained SOM. Many measures are there in practice to analyse the quality of the map.
Publikováno v:
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
The findings of Human Genome Project revealed Single Nucleotide Polymorphisms (SNPs) as the most common form of genetic variations in humans. It also demonstrated the active role of SNPs in the genesis of many system disorders. Thus it is related to
Publikováno v:
ICDSE
Epigenetic refers to the reversible functional modifications of the genome that do not correlate to changes in the DNA sequence. These modifications are caused by changes in the chro-matin structure, DNA methylation and histone modification. DNA meth
Publikováno v:
ICDSE
Clustering is one of the widely used unsupervised methods to interpret and analyze huge amount of data in the field of Bioinformatics. One of the major issues involved in clustering is to address the growing data so that the cluster quality does not
Publikováno v:
ICCABS
The next generation sequencing technology has enabled the understanding of the whole genome of an organism at a greater coverage and reduced cost. In this study, we provide a systems biology approach to understand the functional relevance of the sing
Publikováno v:
BMC Systems Biology, Vol 6, Iss Suppl 3, p S17 (2012)
BMC Systems Biology
BMC Systems Biology
Background Colorectal cancer (CRC) is one of the most commonly diagnosed cancers worldwide. Studies have correlated risk of CRC development with dietary habits and environmental conditions. Gene signatures for any disease can identify the key biologi