Applied Health NLP Journal Club/Reading Group 2022

We will be holding a new monthly journal club/reading group for 2022 at Melbourne Connect, focused on applied health NLP, with potential topics including:

• Public health surveillance (for both communicable and  non-communicable conditions as well as for pharmacovigilance) using social media data
  
• Deidentification of clinical notes
  
• Medical acronym resolution
  
• Health question answering
  
• Integration of NLP with epidemiological methods
  
• Use of NLP to support health-related social science research
  
• Use of NLP to support clinical decision support systems
  
• NLP for detecting over-interpretation of research results
  
• NLP for detecting suicide risk
  
• Legal, regulatory, and ethical issues in Health NLP research

Paper selection will be driven by the current research interests of participants.   Anyone with an interest in health NLP is welcome to attend.

We will meet at 11am to 12.15pm every 4 weeks beginning 31st January 2022.  Given current pandemic-related constraints, we will be meeting via Zoom.  If you would like an invitation to the Zoom meeting or an invitation to the reading group mailing list, please email Mike Conway.

2022 Schedule

• Meeting 1:  Monday 31st Jan@11am-12.15pm.  Sobia Amjad presented: Wei et al. Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance. J Am Med Inform Assoc. 2016 Apr;23(e1)
• Meeting 2:  Monday 28th Feb@11am-12.15pm.  Mike Conway presented Karlekar et al. Detecting linguistic characteristics of Alzheimer's dementia by interpreting neural models.  NAACL 2018
  
• Meeting 3:  Monday 9th May@11am-12.15pm.  Antonio Jose Jimeno Yepes presented Kury et al.  Chia, a large annotated corpus of clinical trial eligibility criteria.  Scientific Data. 2020. 7:281
  
• Meeting 4:  Monday 23rd May@11am-12.15.  Vlada Rozova presented Kim et al.  Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records.  Scientific Reports. 2020. 10:20265
  
• Meeting 5:  Monday 4th Jul@11am-12.15.  Jinghui Liu presented Dong et al.  Automated clinical coding: what, why, and where we are? ArXiv preprint 2022
  
• Meeting 6:  Monday 18th Jul@11am-12.15.  Vlada Rozova presented Varoquaux and Cheplygina  Machine learning for medical imaging: methodological failures and recommendations for the future? NPJ Digital Medicine. 2022 5(48)
• Meeting 7: Monday 15th Aug@11am-12.15.  Mike Conway presented Ford et al. Should free-text data in electronic medical records be shared for research?  A citizens' jury study in the UK.  J Med Ethics. 2020 46(6)
  
• Meeting 8:  Monday 12th Sep@11am-12.15. Jinghui Liu presented Jain et al.  RadGraph: Extracting clinical entities and relations from radiology reports.  ArXiv. 2021
• Meeting 9: Monday 7th Nov@11am-12.15. Vlada Rozova presented Zeng et al. A deep learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals.  Nature Communications.  2022 13(862)