e.g. mhealth
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With regard to NLP usage in the context of PASC, rather than a focus on NLP algorithm development, NLP has primarily been used indirectly for other tasks within the PASC context. For instance, Bhavnani et al [46] extracted 20 signs or symptoms defined by the CDC as being PASC-related from clinical narratives to identify symptom-based phenotypes for patients with PASC, while Zhu et al [47] fine-tuned various BERT-based models to classify documents pertaining to patients with PASC signs or symptoms.
JMIR Med Inform 2024;12:e49997
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Emerging Indications for Hyperbaric Oxygen Treatment: Registry Cohort Study
pasc
Interact J Med Res 2024;13:e53821
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Characterization of Post–COVID-19 Definitions and Clinical Coding Practices: Longitudinal Study
BIDMC: Beth Israel Deaconess Medical Center; EHR: electronic health record; ICD-10: International Classification of Diseases, Tenth Revision; PASC: postacute sequelae SARS-Co V-2; PCR: polymerase chain reaction; UPMC: University of Pittsburg Medical Center; VHA: Veterans Health Administration.
Exempt approval for this study was received by the Central Institutional Review Board at Veterans Affairs Boston Healthcare System (MVP000), BIDMC (2020 P000565), and UPMC (STUDY20070095).
Online J Public Health Inform 2024;16:e53445
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consensus guidance statement on the assessment and treatment of postacute sequelae of SARS-CoV-2 infection (PASCpasc
J Med Internet Res 2024;26:e50139
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RAFAEL [26], an online information and exchange platform, was deployed by the Geneva University Hospitals [26] to address specifically the postacute sequelae of SARS-Co V-2 (PASC) or post–COVID-19 in children and adults. To date, RAFAEL [26] is an ecosystem including online information grouped by symptoms and themes, chatbot technology, and regularly scheduled webinars.
J Med Internet Res 2023;25:e43113
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There is a more specific definition of PASC that should be included (with a reference). There is a need to list specific medical databases to search and not just mention “various” [1]. PECO criteria need to be listed and not only implied that they will be used.
Do you have any other suggestions, feedback, or comments for the Author?
The GRADE approach will be useful, as is mentioned along with a narrative synthesis if needed. Strengths and limitations seem accurate and are good to list.
JMIRx Med 2023;4:e45304
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Although sex and age are considered to be sociodemographic risk factors for PASC, there is no consensus on other baseline clinical features that act as independent predictors of PASC [9,10]. The prevalence of PASC symptoms is higher in women than in men [10].
Among people aged 35-49 years, the prevalence of PASC is 26.8% compared with 26.1% and 18% among people aged 50-69 years and 70 years or older, respectively [10].
JMIRx Med 2023;4:e43880
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