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Fertility Preservation Techniques in Neuro-Oncology Patients: Protocol for a Systematic Review
JMIR Res Protoc 2023;12:e44825
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Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series
JMIR Ment Health 2022;9(8):e33545
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Following the approach outlined by Chandrasekaran et al [35], we developed a naive-Bayes classifier to distinguish the Twitter user as being an individual or an organization. The accuracy was 91.81%, providing confidence about the classifier that we used to segregate tweets made by individuals.
Our next step involved preprocessing and cleaning of tweets using a set of libraries in Python.
JMIR Infodemiology 2022;2(1):e33909
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