[HTML][HTML] An update on β-sitosterol: A potential herbal nutraceutical for diabetic management
S Babu, S Jayaraman - Biomedicine & Pharmacotherapy, 2020 - Elsevier
Phytosterols are bioactive compounds that are naturally present in plant cell membranes
with chemical structure similar to the mammalian cell- derived cholesterol. They are highly …
with chemical structure similar to the mammalian cell- derived cholesterol. They are highly …
[HTML][HTML] Utilizing social media data for pharmacovigilance: a review
…, K O'Connor, K Smith, S Jayaraman… - Journal of biomedical …, 2015 - Elsevier
… This reduces a system’s ability to automatically extract mentions of relevant concepts and
map them to suitable medical lexicons for further analysis [17], [34], [35]. Traditional NLP …
map them to suitable medical lexicons for further analysis [17], [34], [35]. Traditional NLP …
[HTML][HTML] Regulatory T cells in multiple sclerosis and myasthenia gravis
KM Danikowski, S Jayaraman… - Journal of …, 2017 - Springer
Multiple sclerosis (MS) is a chronic debilitating disease of the central nervous system primarily
mediated by T lymphocytes with specificity to neuronal antigens in genetically susceptible …
mediated by T lymphocytes with specificity to neuronal antigens in genetically susceptible …
Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010
…, KH Jacobsen, SL James, R Jasrasaria, S Jayaraman… - The lancet, 2012 - thelancet.com
Background Reliable and timely information on the leading causes of death in populations,
and how these are changing, is a crucial input into health policy debates. In the Global …
and how these are changing, is a crucial input into health policy debates. In the Global …
The state of US health, 1990-2010: burden of diseases, injuries, and risk factors
Importance Understanding the major health problems in the United States and how they are
changing over time is critical for informing national health policy. Objectives To measure the …
changing over time is critical for informing national health policy. Objectives To measure the …
[HTML][HTML] The state of US health, 1990-2016: burden of diseases, injuries, and risk factors among US states
…, S Stranges, S James, S Amrock, S Jayaraman… - Jama, 2018 - jamanetwork.com
Introduction Several studies have measured health outcomes in the United States, but none
have provided a comprehensive assessment of patterns of health by state. Objective To use …
have provided a comprehensive assessment of patterns of health by state. Objective To use …
The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013
Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used
the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk …
the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk …
[HTML][HTML] Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease …
…, SSN Irvani, M Jakovljevic, S Jayaraman… - The Lancet …, 2019 - thelancet.com
Background Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised
as global health priorities in view of the preventability of most injuries and the complex …
as global health priorities in view of the preventability of most injuries and the complex …
Enhancing the quality of life through wearable technology
S Park, S Jayaraman - IEEE Engineering in medicine and …, 2003 - ieeexplore.ieee.org
… His group’s research has led to the realization of the world’s … Jayaraman worked as a product
manager at Software Arts, Inc., … Jayaraman, “A structured methodology for the design and …
manager at Software Arts, Inc., … Jayaraman, “A structured methodology for the design and …
A transformer-based framework for multivariate time series representation learning
We present a novel framework for multivariate time series representation learning based on
the transformer encoder architecture. The framework includes an unsupervised pre-training …
the transformer encoder architecture. The framework includes an unsupervised pre-training …