Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site Study.
Prakash AdekkanattuAl'ona FurmanchukYonghui WuAman PathakBraja PatraSarah BostDestinee MorrowGrace WangYuyang YangNoah ForrestYuan LuoTheresa WalunasWei-Hsuan JennyWalid GelladJiang BianYuhua BaoMark G WeinerDave OslinJyotishman PathakPublished in: Research square (2024)
Variations in local documentation practices across health care systems pose challenges to rule-based NLP tools. In contrast, the developed DL tools can effectively extract PSH and FSH information from unstructured clinical notes. These tools will provide clinicians with crucial information for assessing and treating patients at elevated risk for suicide who are rarely been diagnosed.
Keyphrases
- healthcare
- deep learning
- health information
- primary care
- magnetic resonance
- oxidative stress
- autism spectrum disorder
- palliative care
- computed tomography
- magnetic resonance imaging
- artificial intelligence
- loop mediated isothermal amplification
- convolutional neural network
- contrast enhanced
- anti inflammatory
- social media
- label free
- quantum dots
- advance care planning