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Clinical NLP datasets shape suicidality detection, study finds

By PulseAugur Editorial · [2 sources] ·

A new paper argues that the way clinical text datasets are constructed significantly influences the accuracy and interpretation of suicidality detection in Natural Language Processing (NLP). The research highlights that datasets built from Electronic Health Records (EHRs), such as the ScAN dataset derived from MIMIC-III, often reflect clinician judgments and operationalize suicidality as a bounded episode. This can obscure the nuances of temporality, negation, and uncertainty present in the original clinical framings, leading to potentially misleading interpretations of NLP model outputs. AI

IMPACT Highlights the critical need for careful dataset curation and interpretation in clinical NLP to ensure accurate and ethical AI applications.

RANK_REASON The cluster contains an academic paper discussing methodology in AI research.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Clinical NLP datasets shape suicidality detection, study finds

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Priyanshi Garg, Ishita Rao, Jieqiong Ding, Amandalynne Paullada ·

    Before the Labels: How Dataset Construction Shapes Suicidality Detection in Clinical Text

    arXiv:2606.19637v1 Announce Type: cross Abstract: Clinical NLP increasingly relies on electronic health record (EHR) data to detect suicidal behaviors, treating clinical documentation as more reliable ground truth than social media. We argue that this framing obscures how EHR-bas…

  2. arXiv cs.CL TIER_1 English(EN) · Amandalynne Paullada ·

    Before the Labels: How Dataset Construction Shapes Suicidality Detection in Clinical Text

    Clinical NLP increasingly relies on electronic health record (EHR) data to detect suicidal behaviors, treating clinical documentation as more reliable ground truth than social media. We argue that this framing obscures how EHR-based suicidality datasets encode a particular operat…

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