Bipolar Tracker – LLM日記で自然な文章から双極性障害のエスカレーションを検出
Bipolar Trackerは、ユーザーが書いた自然な日記テキストを大規模言語モデル（LLM）で分析し、双極性障害の症状悪化（エスカレーション）を自動検出するツールです。従来の気分追跡アプリとは異なり、構造化された入力ではなく普段の文章から兆候を捉えることで、より自然な形で病状の変化を把握できるように設計されています。
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