Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Joao Sedoc"'
Publikováno v:
IEEE Access, Vol 9, Pp 168889-168898 (2021)
Abstractive dialogue summarization is a challenging task for several reasons. First, most of the key information in a conversation is scattered across utterances through multi-party interactions with different textual styles. Second, dialogues are of
Externí odkaz:
https://doaj.org/article/223ffc4b844c409380dab66484c152ce
Publikováno v:
Journal of Clinical and Translational Science, Vol 6, Pp 61-61 (2022)
OBJECTIVES/GOALS: Family health history is widely recognized as an important step of genetic counseling; however,
Externí odkaz:
https://doaj.org/article/b4fb6e8a0d1b4d259f6d9ee7d57d5fbe
Autor:
Nina M. Martin, Joao Sedoc, Lisa Poirier, Andrew J. Rosenblum, Melissa M. Reznar, Joel Gittelsohn, Daniel J. Barnett
Background: Machine learning has revolutionized situational awareness during disaster management by classifying, clustering, and predicting impacted locations and people. Despite its importance, no review has been conducted on machine learning tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecd8a1afef37efc52111fc3dc0d790d4
https://doi.org/10.20944/preprints202207.0221.v1
https://doi.org/10.20944/preprints202207.0221.v1
Autor:
Elizabeth C. Stade, Shannon Wiltsey Stirman, Lyle H. Ungar, Cody L. Boland, H. Andrew Schwartz, David B. Yaden, João Sedoc, Robert J. DeRubeis, Robb Willer, Johannes C. Eichstaedt
Publikováno v:
npj Mental Health Research, Vol 3, Iss 1, Pp 1-12 (2024)
Abstract Large language models (LLMs) such as Open AI’s GPT-4 (which power ChatGPT) and Google’s Gemini, built on artificial intelligence, hold immense potential to support, augment, or even eventually automate psychotherapy. Enthusiasm about suc
Externí odkaz:
https://doaj.org/article/cb676d714c4f4b8a9a806f184176df34
Autor:
Rose Weeks, Pooja Sangha, Lyra Cooper, João Sedoc, Sydney White, Shai Gretz, Assaf Toledo, Dan Lahav, Anna-Maria Hartner, Nina M Martin, Jae Hyoung Lee, Noam Slonim, Naor Bar-Zeev
Publikováno v:
JMIR Human Factors, Vol 10, p e40533 (2023)
BackgroundThe COVID-19 pandemic raised novel challenges in communicating reliable, continually changing health information to a broad and sometimes skeptical public, particularly around COVID-19 vaccines, which, despite being comprehensively studied,
Externí odkaz:
https://doaj.org/article/f86f7376633e4825a02540258f332420
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract Health-focused apps with chatbots (“healthbots”) have a critical role in addressing gaps in quality healthcare. There is limited evidence on how such healthbots are developed and applied in practice. Our review of healthbots aims to clas
Externí odkaz:
https://doaj.org/article/90f3f9173298441f9aa40c5a1414bad8
Autor:
Rose Weeks, Lyra Cooper, Pooja Sangha, João Sedoc, Sydney White, Assaf Toledo, Shai Gretz, Dan Lahav, Nina Martin, Alexandra Michel, Jae Hyoung Lee, Noam Slonim, Naor Bar-Zeev
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 7, p e38418 (2022)
BackgroundAutomated conversational agents, or chatbots, have a role in reinforcing evidence-based guidance delivered through other media and offer an accessible, individually tailored channel for public engagement. In early-to-mid 2021, young adults
Externí odkaz:
https://doaj.org/article/0f479941e17f406cbe8dd5b8e3b4ae5b
Autor:
Sunny X. Tang, Reno Kriz, Sunghye Cho, Suh Jung Park, Jenna Harowitz, Raquel E. Gur, Mahendra T. Bhati, Daniel H. Wolf, João Sedoc, Mark Y. Liberman
Publikováno v:
npj Schizophrenia, Vol 7, Iss 1, Pp 1-8 (2021)
Abstract Computerized natural language processing (NLP) allows for objective and sensitive detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We explored several methods for characterizing speech changes in SSD (n
Externí odkaz:
https://doaj.org/article/5719c8246cbb4adb929bfe059cb11ecc