Resultados da busca - "natural language processing"

Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department por Joshua Cohen, Jennifer Wright-Berryman, Lesley Rohlfs, Douglas Trocinski, LaMonica Daniel, Thomas W. Klatt

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Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research por Elizabeth Pleasants, Julia Holmes Ryan, Cheng Ren, Ndola Prata, Anu Manchikanti Gomez, Cassondra Marshall

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Understanding older people's voice interactions with smart voice assistants: a new modified rule-based natural language processing model with human input por Zhengxu Yan, Victoria Dube, Judith Heselton, Kate Johnson, Changmin Yan, Valerie Jones, Julie Blaskewicz Boron, Marcia Shade

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Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging Service por Zhaolu Liu, Robert L. Peach, Robert L. Peach, Robert L. Peach, Emma L. Lawrance, Emma L. Lawrance, Ariele Noble, Mark A. Ungless, Mauricio Barahona

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Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports por Nick S Menger, Arnaud Tognetti, Michael C Farruggia, Carla Mucignat, Surabhi Bhutani, Keiland W Cooper, Paloma Rohlfs Domínguez, Thomas Heinbockel, Vonnie D C Shields, Anna D'Errico, Veronica Pereda-Loth, Denis Pierron, Sachiko Koyama, Ilja Croijmans

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Evaluation of a natural language processing tool for extracting gender, weight, ethnicity, and race in the US food and drug administration adverse event reporting system por Vivian Dang, Eileen Wu, Cindy M. Kortepeter, Michael Phan, Rongmei Zhang, Yong Ma, Monica A. Muñoz

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Correction: Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline por John Caskey, Iain L McConnell, Madeline Oguss, Dmitriy Dligach, Rachel Kulikoff, Brittany Grogan, Crystal Gibson, Elizabeth Wimmer, Traci E DeSalvo, Edwin E Nyakoe-Nyasani, Matthew M Churpek, Majid Afshar

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Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study por Azade Tabaie, Alberta Tran, Tony Calabria, Sonita S Bennett, Arianna Milicia, William Weintraub, William James Gallagher, John Yosaitis, Laura C Schubel, Mary A Hill, Kelly Michelle Smith, Kristen Miller

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Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System por Deborah E Malden, Sara Y Tartof, Bradley K Ackerson, Vennis Hong, Jacek Skarbinski, Vincent Yau, Lei Qian, Heidi Fischer, Sally F Shaw, Susan Caparosa, Fagen Xie

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Figure Correction: Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: Natural Language Processing Approach por Elham Dolatabadi, Diana Moyano, Michael Bales, Sofija Spasojevic, Rohan Bhambhoria, Junaid Bhatti, Shyamolima Debnath, Nicholas Hoell, Xin Li, Celine Leng, Sasha Nanda, Jad Saab, Esmat Sahak, Fanny Sie, Sara Uppal, Nirma Khatri Vadlamudi, Antoaneta Vladimirova, Artur Yakimovich, Xiaoxue Yang, Sedef Akinli Kocak, Angela M Cheung

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An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study por Erol Orel, Iza Ciglenecki, Amaury Thiabaud, Alexander Temerev, Alexandra Calmy, Olivia Keiser, Aziza Merzouki

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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing por Izquierdo, Jose Luis, Ancochea, Julio, Soriano, Joan B

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The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing por Matthew Deady, Hussein Ezzeldin, Kerry Cook, Douglas Billings, Jeno Pizarro, Amalia A. Plotogea, Patrick Saunders-Hastings, Artur Belov, Barbee I. Whitaker, Steven A. Anderson

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Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus por Shinichi Matsuda, Takumi Ohtomo, Shiho Tomizawa, Yuki Miyano, Miwako Mogi, Hiroshi Kuriki, Terumi Nakayama, Shinichi Watanabe

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Absorption Distribution Metabolism Excretion and Toxicity Property Prediction Utilizing a Pre-Trained Natural Language Processing Model and Its Applications in Early-Stage Drug Development por Woojin Jung, Sungwoo Goo, Taewook Hwang, Hyunjung Lee, Young-Kuk Kim, Jung-woo Chae, Hwi-yeol Yun, Sangkeun Jung

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Asking questions that are "close to the bone": integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures por Daniela Di Basilio, Lorraine King, Sarah Lloyd, Panayiotis Michael, Matthew Shardlow

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Analyzing Reddit Forums Specific to Abortion That Yield Diverse Dialogues Pertaining to Medical Information Seeking and Personal Worldviews: Data Mining and Natural Language Processing Comparative Study por Danny Valdez, Lucrecia Mena-Meléndez, Brandon L Crawford, Kristen N Jozkowski

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AUTOMATIC GENERATE QUESTION UNTUK SHORT-ANSWER-QUESTION DI READING COMPREHENSION IELTS MENGGUNAKAN METODE NATURAL LANGUAGE PROCESSING DAN ALGORITMA K-NEAREST NEIGHBOR por Yahya Firdaus, -

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EVALITA Evaluation of NLP and Speech Tools for Italian : Proceedings of the Final Workshop 12-13 December 2018, Naples por Viviana Patti

Assuntos: “…Natural Language Processing…”
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Information Systems Intelligent Information Processing Systems, Natural Language Processing, Affective Computing and Artificial Intelligence, and an Attempt to Build a Conversational Nursing Robot

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