Published on 08.11.16 in Vol 4, No 4 (2016): Oct-Dec
Works citing "Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.5728):
(note that this is only a small subset of citations)
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Baker EJ, Walter NA, Salo A, Rivas Perea P, Moore S, Gonzales S, Grant KA. Identifying Future Drinkers: Behavioral Analysis of Monkeys Initiating Drinking to Intoxication is Predictive of Future Drinking Classification. Alcoholism: Clinical and Experimental Research 2017;41(3):626
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Basit MA, Baldwin KL, Kannan V, Flahaven EL, Parks CJ, Ott JM, Willett DL. Agile Acceptance Test–Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software. JMIR Medical Informatics 2018;6(2):e23
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Cooley ME, Abrahm JL, Berry DL, Rabin MS, Braun IM, Paladino J, Nayak MM, Lobach DF. Algorithm-based decision support for symptom self-management among adults with Cancer: results of usability testing. BMC Medical Informatics and Decision Making 2018;18(1)
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Chen L, Gu Y, Ji X, Lou C, Sun Z, Li H, Gao Y, Huang Y. Clinical trial cohort selection based on multi-level rule-based natural language processing system. Journal of the American Medical Informatics Association 2019;26(11):1218
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Chen C, Warikoo N, Chang Y, Chen J, Hsu W. Medical knowledge infused convolutional neural networks for cohort selection in clinical trials. Journal of the American Medical Informatics Association 2019;26(11):1227
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Eldridge RC, Pugh SL, Trotti A, Hu K, Spencer S, Yom SS, Rosenthal D, Read N, Desai A, Gore E, Shenouda G, Mishra MV, Bruner D, Xiao C. Changing functional status within 6 months posttreatment is prognostic of overall survival in patients with head and neck cancer: NRG Oncology Study. Head & Neck 2019;41(11):3924
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Chen S, Wu S. Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data. Journal of Medical Internet Research 2020;22(3):e17695
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Back A, Friedman T, Abrahm J. Palliative Care Skills and New Resources for Oncology Practices: Meeting the Palliative Care Needs of Patients With Cancer and Their Families. American Society of Clinical Oncology Educational Book 2020;(40):14
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Flannery M, Stein K, Dougherty D, Mohile S, Guido J, Wells N. Nurse-Delivered Symptom Assessment for Individuals With Advanced Lung Cancer. Oncology Nursing Forum 2018;45(5):619
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Yaya S, Idriss-Wheeler D, Sanogo NA, Vezina M, Bishwajit G. Self-reported activities of daily living, health and quality of life among older adults in South Africa and Uganda: a cross sectional study. BMC Geriatrics 2020;20(1)
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Cooley ME, Mazzola E, Xiong N, Hong F, Lobach DF, Braun IM, Halpenny B, Rabin MS, Johns E, Finn K, Berry D, McCorkle R, Abrahm JL. Clinical Decision Support for Symptom Management in Lung Cancer Patients: A Group RCT. Journal of Pain and Symptom Management 2022;63(4):572
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Papadopoulos P, Soflano M, Chaudy Y, Adejo W, Connolly TM. A systematic review of technologies and standards used in the development of rule-based clinical decision support systems. Health and Technology 2022;12(4):713
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Jones EK, Hultman G, Schmoke K, Ninkovic I, Dodge S, Bahr M, Melton GB, Marquard J, Tignanelli CJ. Combined Expert and User-Driven Usability Assessment of Trauma Decision Support Systems Improves User-Centered Design. Surgery 2022;172(5):1537
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Wang Y, Allsop MJ, Epstein JB, Howell D, Rapoport BL, Schofield P, Van Sebille Y, Thong MS, Walraven I, Ryan Wolf J, van den Hurk CJ. Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels. Supportive Care in Cancer 2024;32(3)
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Yackel HD, Halpenny B, Abrahm JL, Ligibel J, Enzinger A, Lobach DF, Cooley ME. A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all. BMC Medical Informatics and Decision Making 2024;24(1)
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