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Payal Chandak
Payal Chandak
Harvard-MIT Health Sciences and Technology
在 mit.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Scientific discovery in the age of artificial intelligence
H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ...
Nature 620 (7972), 47-60, 2023
4222023
Building a knowledge graph to enable precision medicine
P Chandak, K Huang, M Zitnik
Scientific Data 10 (1), 67, 2023
1472023
Using machine learning to identify adverse drug effects posing increased risk to women
P Chandak, NP Tatonetti
Patterns 1 (7), 2020
33*2020
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
Q Wang, K Huang, P Chandak, M Zitnik, N Gehlenborg
IEEE Transactions on Visualization and Computer Graphics 29 (1), 1266-1276, 2022
302022
Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
K Huang, P Chandak, Q Wang, S Havaldar, A Vaid, J Leskovec, ...
medRxiv, 2023.03. 19.23287458, 2023
12*2023
Contrastive Pre-Training for Multimodal Medical Time Series
A Raghu, P Chandak, R Alam, J Guttag, C Stultz
NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022
92022
Sequential multi-dimensional self-supervised learning for clinical time series
A Raghu, P Chandak, R Alam, J Guttag, C Stultz
International Conference on Machine Learning, 28531-28548, 2023
32023
Building a knowledge graph to enable precision medicine. Scientific Data 10, 1 (2023), 67
P Chandak, K Huang, M Zitnik
32023
Interactive Visual Explanations for Deep Drug Repurposing
Q Wang, K Huang, P Chandak, N Gehlenborg, M Zitnik
12021
Event-Based Contrastive Learning for Medical Time Series
H Jeong, N Oufattole, A Balagopalan, M Mcdermott, P Chandak, ...
arXiv preprint arXiv:2312.10308, 2023
2023
Deep Learning for EEG‐Based Alzheimer’s Disease Diagnosis
X Zhang, Y Wang, P Chandak, Z He
Alzheimer's & Dementia 19, e071575, 2023
2023
Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design. medRxiv
K Huang, P Chandak, Q Wang, S Havaldar, A Vaid, J Leskovec, ...
2023
Towards Usable Explanations: Extending the Nested Model of Visualization Design for User-Centric XAI
Q Wang, K Huang, P Chandak, M Zitnik, N Gehlenborg
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