Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.

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P1476

Detecting Suicidal Ideation on Forums: Proof-of-Concept Study

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Naz Berfu Akbas

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Oguzhan Zahmacioglu

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Serra Muderrisoglu

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P2860

Suicide and Suicidal Attempts in the United States: Costs and Policy Implications

Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

Apples to oranges?: a direct comparison between suicide attempters and suicide completers

Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial.

Suicide Note Classification Using Natural Language Processing: A Content Analysis.

Meta-Analysis of Longitudinal Cohort Studies of Suicide Risk Assessment among Psychiatric Patients: Heterogeneity in Results and Lack of Improvement over Time.

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model.

Analysis of Suicide Notes: An experience in Eskişehir City.

Characterisation of mental health conditions in social media using Informed Deep Learning.

Suicide announcement on Facebook.

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e215

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scholarly article

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10.2196/JMIR.9840

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2018-06-21T00:00:00Z

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29929945

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suicidal ideation

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6035349

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