Siddharth Rawal
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View article: Detecting Goals of Care Conversations in Clinical Notes with Active Learning
Detecting Goals of Care Conversations in Clinical Notes with Active Learning Open
Objective Goals Of Care (GOC) discussions are an increasingly used quality metric in serious illness care and research. Wide variation in documentation practices within the Electronic Health Record (EHR) presents challenges for reliable me…
View article: PhenoID, a language model normalizer of physical examinations from genetics clinical notes
PhenoID, a language model normalizer of physical examinations from genetics clinical notes Open
A bstract Background Phenotypes identified during dysmorphology physical examinations are critical to genetic diagnosis and nearly universally documented as free-text in the electronic health record (EHR). Variation in how phenotypes are r…
View article: Detecting Goals of Care Conversations in Clinical Notes with Active Learning
Detecting Goals of Care Conversations in Clinical Notes with Active Learning Open
View article: Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men.
Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men. Open
Recruiting people from diverse backgrounds to participate in health research requires intentional and culture-driven strategic efforts. In this study, we utilize publicly available Twitter posts to identify targeted populations to recruit …
View article: Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men
Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men Open
Recruiting people from diverse backgrounds to participate in health research requires intentional and culture-driven strategic efforts. In this study, we utilize publicly available Twitter posts to identify targeted populations to recruit …
View article: Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines
Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines Open
Tweets mentioning medications are valuable for efforts in digital epidemiology to supplement traditional methods of monitoring public health. A major obstacle, however, is to differentiate them from the large majority of tweets on other to…
View article: Identification of Adverse Drug Reaction Mentions in Tweets – SMM4H Shared Task 2019
Identification of Adverse Drug Reaction Mentions in Tweets – SMM4H Shared Task 2019 Open
Analyzing social media posts can offer insights into a wide range of topics that are commonly discussed online, providing valuable information for studying various health-related phenomena reported online. The outcome of this work can offe…