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A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

Due to the quality of the documented pain scores and lack of interrater agreement among experts (Fleiss κ=0.43), as explained by Naseri et al [25], we subsequently defined a binary pain score as “no pain” and “pain” in order to establish satisfactory interrater agreement (κ=0.66) [25]. To create binary ground-truth pain labels comparable to the NLP-extracted labels, we assigned notes scored as “no pain” to “no pain” and notes scored as “mild,” “moderate,” and “severe” pain to “pain.”

Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

JMIR AI 2023;2:e44779

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Exploring the Paradoxical Relationship of a Creb 3 Regulatory Factor Missense Variant With Body Mass Index and Diabetes Among Samoans: Protocol for the Soifua Manuia (Good Health) Observational Cohort Study

Exploring the Paradoxical Relationship of a Creb 3 Regulatory Factor Missense Variant With Body Mass Index and Diabetes Among Samoans: Protocol for the Soifua Manuia (Good Health) Observational Cohort Study

Nicola L Hawley, Alysa Pomer, Anna C. Rivara, Samantha L Rosenthal, Rachel L Duckham, Jenna C Carlson, Take Naseri, Muagututia Sefuiva Reupena, Melania Selu, Vaimoana Lupematisila, Folla Unasa, Lupesina Vesi, Tracy Fatu, Seipepa Unasa, Kima Faasalele-Savusa, Abigail I Wetzel, Christina Soti-Ulberg, Angela T Prescott, Gloria Siufaga, Corina Penaia, Sophie B. To, Lauren C LaMonica, Viali Lameko, Courtney C Choy, Scott E Crouter, Susan Redline, Ranjan Deka, Erin E Kershaw, Zsolt Urban, Ryan L. Minster, Daniel E. Weeks, Stephen T McGarvey

JMIR Res Protoc 2020;9(7):e17329

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