Ramya Tekumalla

Towards automated phenotype definition extraction using large language models

Ramya Tekumalla, Juan M. Banda

Electronic phenotyping involves a detailed analysis of both structured and unstructured data, employing rule-based methods, machine learning, natural language processing, and hybrid approaches. Currently, the development of accurate phenotype definitions demands extensive literature reviews and clinical experts, rendering the process time-consuming and …

us (code pays fourni par la source)

Towards automated phenotype definition extraction using large language models

Ramya Tekumalla, Juan M. Banda

us (code pays fourni par la source)

Testing an informatics consulting service for systematic bias using negative control reference sets

Michael P. Jackson, Saurabh Gombar, R. Manickam, R. BROWN et autres

Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations

Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda

In recent times, social networks like Twitter have emerged as vital platforms for sharing personal thoughts, opinions, and most importantly, health-related information, especially pertaining to COVID-19. Users tend to share very detailed and personal narratives that could be utilized by researchers to …

us (code pays fourni par la source)

Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets

Ramya Tekumalla, Juan M. Banda

The COVID-19 pandemic has presented significant challenges to the healthcare industry and society as a whole. With the rapid development of COVID-19 vaccines, social media platforms have become a popular medium for discussions on vaccine-related topics. Identifying vaccine-related tweets and analyzing them …

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 162 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unannounced downtime of our university infrastructure. We will try to backfill those days by next release. FUTURE CHANGES: Due to the imminent paywalling of …

us, es, de, ru (code pays fourni par la source)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 162 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unannounced downtime of our university infrastructure. We will try to backfill those days by next release. FUTURE CHANGES: Due to the imminent paywalling of …

us, es, de, ru (code pays fourni par la source)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 161 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unannounced downtime of our university infrastructure. We will try to backfill those days by next release. FUTURE CHANGES: Due to the imminent paywalling of …

us, es, de, ru (code pays fourni par la source)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 160 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unannounced downtime of our university infrastructure. We will try to backfill those days by next release. FUTURE CHANGES: Due to the imminent paywalling of …

us, es, de, ru (code pays fourni par la source)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 159 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unannounced downtime of our university infrastructure. We will try to backfill those days by next release. FUTURE CHANGES: Due to the imminent paywalling of …

us, es, de, ru (code pays fourni par la source)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 158 of the dataset. NOTES: Data for 3/15 - 3/18 was not extracted due to unexpected and unannounced downtime of our university infrastructure. We will try to backfill those days by next release. FUTURE CHANGES: Due to the imminent paywalling of …

us, es, de, ru (code pays fourni par la source)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu et autres

Version 157 of the dataset. FUTURE CHANGES: Due to the imminent paywalling of Twitter's API access this might be the last full update of this dataset. If the API access is not blocked, we will be stopping updates for this dataset with …

us, es, de, ru (code pays fourni par la source)