Jie Yang, PhD, FAMIA
@JieHealthAI
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Assistant Professor @Harvard | AI in Healthcare | NLP | EHR | Views my own.
Joined August 2017
Our recent paper "Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review" has been published in @NEJM_AI ! The lack of clinical text data is a long-term challenge/pain for #AIinMedicine and clinical LLM researchers. After reviewing 3962 papers and 239 tasks from clinical #NLP challenges, we found that less than half of these datasets are accessible, with significant regional, language, and disease imbalances. We have shared a list of over 90 accessible clinical text datasets, hoping it can serve as a dataset landscape for clinical NLP research. Free access link:
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RT @Rishidesai11: In a study @npjDigitalMed led by Bowen Gu and @JieHealthAI, we find that LLMs struggle to convey uncertainty and can be o…
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Check out our latest publication in @npjDigitalMed: "Probabilistic Medical Predictions of Large Language Models" 🎉 We reveal key differences in how LLMs generate prediction probabilities (or confidence) and emphasize the need for caution in their clinical use. Link: Download: #AI #HealthcareAI #LLM #DigitalHealth
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NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly. NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.
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RT @ISoPonline: Day 1 of the 8th ISoP Seminar in Boston! 🌟 Jim Barrett (Uppsala Monitoring Centre) shared insights on critically evaluating…
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Great NLP PhD opportunity in Prof. Yue Zhang's Lab (my PhD supervisor)! Prof. Zhang is incredibly supportive and the best supervisor I have ever met. @NlpWestlake
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LLMs show promise in clinical predictions, but generating reliable prediction probabilities is challenging. Our study finds that explicit probabilities from text generation often underperform—caution is needed in clinical decisions. Preprint: #AIinMedicine
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Sure. As I replied to Dan, we can only access the datasets but we don't have the right to redistribute them. Each dataset needs to be requested to the original publisher. We listed all the contact information in our paper. If you think there still exists interested topics that we can discuss, I am happy to the talk.
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@LiamGMcCoy @zakkohane @NEJM_AI Thanks! Yes, actually the difficulty of accessing data for published papers is the main reason for us to start this review.
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RT @JieHealthAI: Our recent paper "Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Revi…
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Our previous work in @jmirpub showed that LLMs face challenges on Chinese clinical notes.In our recent paper @JAMIA_Journal, we demonstrated that local clinical knowledge can greatly enhance LLM capabilities in this scenario.
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@hbouamor @rose_e_wang @abeirami @emnlpmeeting @juanmiguelpino Hi @hbouamor and @juanmiguelpino , we have the same issue (submission#1538) with score 345 but got rejected without a detailed reason. We sent an email to PCs on Oct 7 but got no response until now. Our follow-up emails also got no response. Can you pls give us an update? Tks
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Our recent @jmirpub paper examines #COVID19 symptoms and their co-occurrence networks through #socialmedia. Social media can complement hospital-based data in public health research, particularly in comprehending patients with mild symptoms.
New in JMIR: Trend and Co-occurrence Network of #COVID19 #coronavirus Symptoms From Large-Scale #SocialMedia #hcsm #SoMe Data: Infoveillance #Study
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Our paper "Exploring Social Media for Early Detection of Depression in COVID-19 Patients" was accepted by #WWW2023 @TheWebConf . Tweets of > 10k COVID-19 Patients were collected. Free text and mood info. were encoded with a BERT-based NLP framework. Pdf:
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