User profiles for Ramya Vunikili
Ramya Dhatri VunikiliResearch Scientist, Siemens Healthineers Verified email at siemens-healthineers.com Cited by 80 |
Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses
AC Liu, K Patel, RD Vunikili, KW Johnson… - Briefings in …, 2020 - academic.oup.com
Sepsis is a series of clinical syndromes caused by the immunological response to infection.
The clinical evidence for sepsis could typically attribute to bacterial infection or bacterial …
The clinical evidence for sepsis could typically attribute to bacterial infection or bacterial …
Radling: Towards efficient radiology report understanding
Most natural language tasks in the radiology domain use language models pre-trained on
biomedical corpus. There are few pretrained language models trained specifically for …
biomedical corpus. There are few pretrained language models trained specifically for …
[PDF][PDF] Clinical NER using Spanish BERT Embeddings.
R Vunikili, HN Supriya, VG Marica, O Farri - IberLEF@ SEPLN, 2020 - researchgate.net
This paper presents an overview of transfer learning-based approach to the Named Entity
Recognition (NER) sub-task from Cancer Text Mining Shared Task (CANTEMIST) conducted …
Recognition (NER) sub-task from Cancer Text Mining Shared Task (CANTEMIST) conducted …
[HTML][HTML] Predictive modelling of susceptibility to substance abuse, mortality and drug-drug interactions in opioid patients
Objective: Opioids are a class of drugs that are known for their use as pain relievers. They
bind to opioid receptors on nerve cells in the brain and the nervous system to mitigate pain. …
bind to opioid receptors on nerve cells in the brain and the nervous system to mitigate pain. …
Analysis of vocal implicit bias in SCOTUS decisions through predictive modelling
R Vunikili, H Ochani, D Jaiswal… - Proceedings of …, 2018 - papers.ssrn.com
Several existing pen and paper tests to measure implicit bias have been found to have
discrepancies. This could be largely due to the fact that the subjects are aware of the implicit bias …
discrepancies. This could be largely due to the fact that the subjects are aware of the implicit bias …
Using AI to Identify Chest Radiographs with No Actionable Disease in Outpatient Imaging
Background: Chest radiographs are one of the most frequently performed imaging examinations
in radiology. Chest radiograph reading is characterized by a high volume of cases, …
in radiology. Chest radiograph reading is characterized by a high volume of cases, …
[Industry] RadLing: Towards Efficient Radiology Report Understanding
Most natural language tasks in the radiology domain use language models pre-trained on
biomedical corpus. There are few pretrained language models trained specifically for …
biomedical corpus. There are few pretrained language models trained specifically for …
Assertion Detection in Multi-Label Clinical Text using Scope Localization
RB Ambati, AA Hanifi, R Vunikili, P Sharma… - arXiv preprint arXiv …, 2020 - arxiv.org
Multi-label sentences (text) in the clinical domain result from the rich description of scenarios
during patient care. The state-of-theart methods for assertion detection mostly address this …
during patient care. The state-of-theart methods for assertion detection mostly address this …
[PDF][PDF] Predictive modeling of susceptibility to substance abuse, mortality and drug-drug interactions in opioid patients
MS Ramya Vunikili, BS Glicksberg, L Subramanian - researchgate.net
Opioid addiction causes high degree of morbidity and mortality. Preemptive 1 identification
of patients at risk of opioid dependence and developing intelligent clinical 2 decisions to …
of patients at risk of opioid dependence and developing intelligent clinical 2 decisions to …
Assertion Detection in Multi-Label Clinical Text using Scope Localization
R Bhatt Ambati, AA Hanifi, R Vunikili… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Multi-label sentences (text) in the clinical domain result from the rich description of scenarios
during patient care. The state-of-theart methods for assertion detection mostly address this …
during patient care. The state-of-theart methods for assertion detection mostly address this …