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Medical AI
1040 directly classified papers
Papers per year
2003: 1
2006: 6
2007: 4
2008: 3
2009: 3
2010: 4
2011: 5
2012: 7
2013: 4
2014: 1
2015: 4
2016: 26
2017: 20
2018: 47
2019: 57
2020: 82
2021: 107
2022: 115
2023: 133
2024: 161
2025: 247
2026: 3
Papers
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network
IJCAI 2020
A Label Attention Model for ICD Coding from Clinical Text
IJCAI 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
IJCAI 2020
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
ICML 2020
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
ACL 2020
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations
ACL 2020
Robust Prediction of Punctuation and Truecasing for Medical ASR
ACL 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
NIPS 2020
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text
EMNLP 2020
Predicting Clinical Trial Results by Implicit Evidence Integration
EMNLP 2020
Explainable Clinical Decision Support from Text
EMNLP 2020
Querying Across Genres for Medical Claims in News
EMNLP 2020
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
EMNLP 2020
CancerEmo: A Dataset for Fine-Grained Emotion Detection
EMNLP 2020
On the diminishing return of labeling clinical reports
EMNLP 2020
Predicting independent living outcomes from written reports of social workers
EMNLP 2020
Collapsing Bandits and Their Application to Public Health Intervention
NIPS 2020
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment
NIPS 2020
X-CAL: Explicit Calibration for Survival Analysis
NIPS 2020
scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn
JMLR 2020
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging
JMLR 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
AISTATS 2020
Fairness Evaluation in Presence of Biased Noisy Labels
AISTATS 2020
Censored Quantile Regression Forest
AISTATS 2020
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