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Item A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media(IEEE, 2022) Luo, Xiao; Gandhi, Priyanka; Storey, Susan; Huang, Kun; Biostatistics and Health Data Science, School of MedicinePatients experience various symptoms when they have either acute or chronic diseases or undergo some treatments for diseases. Symptoms are often indicators of the severity of the disease and the need for hospitalization. Symptoms are often described in free text written as clinical notes in the Electronic Health Records (EHR) and are not integrated with other clinical factors for disease prediction and healthcare outcome management. In this research, we propose a novel deep language model to extract patient-reported symptoms from clinical text. The deep language model integrates syntactic and semantic analysis for symptom extraction and identifies the actual symptoms reported by patients and conditional or negation symptoms. The deep language model can extract both complex and straightforward symptom expressions. We used a real-world clinical notes dataset to evaluate our model and demonstrated that our model achieves superior performance compared to three other state-of-the-art symptom extraction models. We extensively analyzed our model to illustrate its effectiveness by examining each component’s contribution to the model. Finally, we applied our model on a COVID-19 tweets data set to extract COVID-19 symptoms. The results show that our model can identify all the symptoms suggested by CDC ahead of their timeline and many rare symptoms.Item COVID-19 Epidemic Peer Support and Crisis Intervention Via Social Media(Springer Nature, 2020-05-06) Cheng, Pu; Xia, Guohua; Pang, Peng; Wu, Bo; Jiang, Wei; Li, Yong-Tong; Wang, Mei; Ling, Qi; Chang, Xiaoying; Wang, Jinghan; Dai, Xiaocheng; Lin, Xiaojin; Bi, Xiaoting; Psychiatry, School of MedicineThis article describes a peer support project developed and carried out by a group of experienced mental health professionals, organized to offer peer psychological support from overseas to healthcare professionals on the frontline of the COVID-19 outbreak in Wuhan, China. This pandemic extremely challenged the existing health care systems and caused severe mental distress to frontline healthcare workers. The authors describe the infrastructure of the team and a novel model of peer support and crisis intervention that utilized a popular social media application on smartphone. Such a model for intervention that can be used elsewhere in the face of current global pandemic, or future disaster response.Item Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives(2020-04-19) Sha, Hao; Al Hasan, Mohammad; Mohler, George; Brantingham, P.; Computer and Information Science, School of ScienceA combination of federal and state-level decision making has shaped the response to COVID-19 in the United States. In this paper, we analyze the Twitter narratives around this decision making by applying a dynamic topic model to COVID-19 related tweets by U.S. Governors and Presidential cabinet members. We use a network Hawkes binomial topic model to track evolving sub-topics around risk, testing, and treatment. We also construct influence networks amongst government officials using Granger causality inferred from the network Hawkes process.Item Eight Myths of Philanthropy(Stanford Social Innovation Review (SSIR), 2019) Benjamin, Lehn; Pasic, Amir; Freeman, Tyrone; Herzog, Patricia Snell; King, David; Konrath, Sara; Mesch, Debra; Osili, Una; Ottoni-Wilhelm, Mark; Practor, Andrea; Rooney, Patrick; Shaker, Genevieve; Wiepking, Pamala; Rolland Price, Abby; Smith Milway, KatieIn this practitioner-engaged article, the Indiana University Lilly Family School of Philanthropy describe eight common myths of philanthropy. Myth busting these misconceptions, the article provides an overview of who gives, how, and with what impact. In so doing, the article contributes to a better understanding of the breadth and diversity of giving.Item “Failing Up” on Social Media—Finding Opportunities in Moments of #Fail(Elsevier, 2020-10-17) Gadde, Judith Ann; Peterson, Ryan B.; Koontz, Nicholas A.; Radiology and Imaging Sciences, School of MedicineSocial media (SoMe) has been utilized for many years for medical education but has recently grown because of the increase in online learning during the coronavirus disease 2019 (COVID-19) pandemic. Several SoMe platforms are commonly used for online medical education (eg, Twitter [Twitter Inc, San Francisco, California], Instagram [Facebook, Inc, Menlo Park, California], Facebook [Facebook, Inc, Menlo Park, California]) [1, 2, 3]. Twitter has become popular among radiologists for medical education with obstacles occurring along the way. This article represents a collection of experiences from three neuroradiologists who use Twitter to disseminate case-based radiology education as part of institutionally approved curricula. In this article, we share advice for those interested in utilizing SoMe for medical education purposes, including experiences in which obstacles redefined our educational strategies, turning failures into opportunities for improvement.Item The First 4 Weeks Postpartum: The Mother’s Breastfeeding Concerns and Support(Office of the Vice Chancellor for Research, 2015-04-17) Rosales, Stacy A.; Shieh, Carol; Bakas, Tamilyn; Busby, KatieObjective: The first four weeks postpartum are critical for establishing successful breastfeeding because many women wean or stop exclusive breastfeeding during this time. This study explored the breastfeeding concerns of mothers during the first 4 weeks postpartum and the support sought for those concerns. Design: A qualitative approach was used. Participants: Four mothers, recruited from central Indiana in 2014 through social media or word of mouth participated in the study. Inclusion criteria were women in their first four to six weeks postpartum, delivered full term healthy babies and were discharged from the hospital breastfeeding. Methods: Semi-structured telephone interviews were conducted and data were analyzed using content analysis. Interview transcripts were first coded. Codes with similar meaning were grouped into categories. Categories sharing similar features were again collapsed into common themes. Results: Concerns identified by mothers fell into the themes: Infant breastfeeding difficulties (latch), breast complications related to breastfeeding (pain and nipple trauma), and maternal concerns related to milk production (infant milk intake and milk supply). Four common themes of support were identified that mothers utilized to alleviate concerns: Professional support, informational support, peer support, and family support. Conclusions: Mothers identified concerns related to themselves and their infants with respect to breastfeeding in the first four weeks postpartum. These concerns indicate the women’s struggle with establishing a successful breastfeeding pattern and one that is compromised by infant latch difficulty, nipple pain and inadequate milk production. Support was sought at multiple levels from health care professionals to social media. The findings suggest that support from health care professionals who provide valuable information is important. However, postpartum women also utilize other support methods when encountering breastfeeding concerns in the first four weeks postpartum. When developing interventions to assist postpartum women with establishing breastfeeding outside of the hospital setting, nurses need to consider using social media and social networks as resources for breastfeeding information and support.Item Forecasting retweet count during elections using graph convolution neural networks(2018-05-31) Vijayan, Raghavendran; Mohler, George; Al Hasan, Mohammad; Mukhopadhyay, SnehasisItem Inclusive Philanthropy(Stanford Social Innovation Review (SSIR), 2020) Pasic, Amir; Osili, Una; Rooney, Patrick; Ottoni-Wilhelm, Mark; Herzog, Patricia Snell; King, David; Practor, Andrea; Siddiqui, ShariqIn this practitioner-engaged article, the Indiana University Lilly Family School of Philanthropy explain problems with limiting what counts as philanthropy since a narrow approach curtails understanding of scope and social value. The authors assert a more expansive approach is essential for creating a more equitable and democratic society. Inclusive giving practices include certain types of social media campaigns, giving circles, religious giving, workplace giving. The article concludes with a call for everyday citizens to engage in giving and thus balance undue influence to only the wealthy by fostering many voices amid financial and social resource channels.Item “Oh, Snap! The State of E-Discovery as Social Media Goes Mobile via Snapchat, WhatsApp and Other Messaging Apps”(Office of the Vice Chancellor for Research, 2015-04-17) Faklaris, Cori; Hook, Sara AnneWith the series of decisions in Zubulake v. UBS Warburg1-4 and the revisions to the Federal Rules of Civil Procedure5, a new field within legal practice appeared, the law regarding electronic discovery (e-discovery). Although the phase of litigation known as discovery has existed for many years, with opposing parties and their lawyers making requests and exchanging documents that are relevant to a case, e-discovery transformed this process from the paper-based, pre-Internet world of discovery to a whole series of rules and decisions related to how to identify, collect, preserve, analyze, review, produce and present electronically-stored information (ESI). Not only is this evidence in digital form, but it also exists a wide range of media and formats, from word processing and spreadsheet files to photographs, blog postings, videos, emails and websites. More recently, debates and court decisions have focused on electronically stored information that is posted on social media sites such as Facebook as well as more informal and transient communications involving text messages and new vendor services for mobile devices, such as WhatsApp and Snapchat. As the researchers will demonstrate through current cases, each new technology that generates electronically-stored information is an opportunity to trace its path through the phases of the e-discovery process, to note the legal, technological, logistical and ethical issues at each phase and to consider any special challenges that lawyers and their support teams might face. This research is particularly timely, given that the Federal Rules of Civil Procedure are being significantly revised again, based on a May 2010 conference on civil litigation at Duke University and more than 2,300 comments from interested practitioners and academics since then.6 Among the revised rules that will become effective on December 1, 2015, if approved by the U.S. Supreme Court and Congress, are several that directly impact electronically-stored information, including Rules 16, 26, 34 and 37, with the goal of making the e-discovery process more efficient and less burdensome and costly.Item Pediatric Program Directors Should have an Active Presence on Twitter(Elsevier, 2020-11-20) Heitkamp, Nicholas M.; Morgan, Lucas E.; Carmody, J. Bryan; Heitkamp, Darel E.; Pediatrics, School of MedicineFor academic pediatricians, social media has become an important avenue for professional development through continuing education, professional networking, and academic collaboration. Pediatric residency program directors have recognized additional benefits of social media engagement via program promotion and resident recruitment. The novel coronavirus disease 2019 (COVID-19) pandemic and subsequent move to virtual interviews for the 2020–2021 residency interview season have created a new urgency for pediatric program directors to establish an active social media presence, primarily as a means to engage applicants and provide them with information in lieu of cancelled away rotations and in-person interviews. Twitter is a free microblogging and social networking platform that allows real-time engagement among academic pediatricians. Here, we make the case that all pediatric program directors should have an active presence on Twitter.