CHIL

Keyphrases

Publications

2023

Iman Deznabi, Madalina Fiterau
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction. CHIL (2023)
Min Jae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. CHIL (2023)
Jessica Zheng, Hanrui Wang, Anand Chandrasekhar, Aaron D. Aguirre, Song Han, Hae-Seung Lee, Charles G. Sodini
Machine Learning for Arterial Blood Pressure Prediction. CHIL (2023)
Hardy Hardy, Derek Ruths, Nicholas B. King
Who Controlled the Evidence? Question Answering for Disclosure Information Extraction. CHIL (2023)
Yi Yang, Hejie Cui, Carl Yang
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis. CHIL (2023)
Andre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis
Federated Multilingual Models for Medical Transcript Analysis. CHIL (2023)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL (2023)
Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. CHIL (2023)
Harry Rubin-Falcone, Joyce M. Lee, Jenna Wiens
Denoising Autoencoders for Learning from Noisy Patient-Reported Data. CHIL (2023)
Preface. CHIL (2023)
Yuexin Wu, I-Chan Huang, Xiaolei Huang
Token Imbalance Adaptation for Radiology Report Generation. CHIL (2023)
Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. CHIL (2023)
Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil
Semantic match: Debugging feature attribution methods in XAI for healthcare. CHIL (2023)
Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin
Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes. CHIL (2023)
George H. Chen
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information. CHIL (2023)
Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner
Explaining a machine learning decision to physicians via counterfactuals. CHIL (2023)
Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL (2023)
Katie Matton, Robert Lewis, John V. Guttag, Rosalind W. Picard
Contrastive Learning of Electrodermal Activity Representations for Stress Detection. CHIL (2023)
William G. La Cava, Elle Lett, Guangya Wan
Fair admission risk prediction with proportional multicalibration. CHIL (2023)
Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer
Do We Still Need Clinical Language Models? CHIL (2023)
Mike A. Merrill, Tim Althoff
Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CHIL (2023)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL (2023)
Shuo Shuo Liu, Lin Lin
Adaptive Weighted Multi-View Clustering. CHIL (2023)
Arvind Pillai, Subigya Nepal, Andrew Campbell
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning. CHIL (2023)
Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL (2023)
Vincent Jeanselme, Chang Ho Yoon, Brian D. M. Tom, Jessica K. Barrett
Neural Fine-Gray: Monotonic neural networks for competing risks. CHIL (2023)
Qixuan Jin, Jacobien H. F. Oosterhoff, Yepeng Huang, Marzyeh Ghassemi, Gabriel A Brat
Clinical Relevance Score for Guided Trauma Injury Pattern Discovery with Weakly Supervised β-VAE. CHIL (2023)
Kevin Wu, Dominik Dahlem, Christopher Hane, Eran Halperin, James Zou
Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations. CHIL (2023)
Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CHIL (2023)
Donna Tjandra, Jenna Wiens
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise. CHIL (2023)
Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
Towards the Practical Utility of Federated Learning in the Medical Domain. CHIL (2023)
Christina X. Ji, Ahmed M. Alaa, David A. Sontag
Large-Scale Study of Temporal Shift in Health Insurance Claims. CHIL (2023)
Toshiya Yoshida, Trinity Shuxian Fan, Tyler H. McCormick, Zhenke Wu, Zehang Richard Li
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies. CHIL (2023)
Helen Zhou, Yuwen Chen, Zachary C. Lipton
Evaluating Model Performance in Medical Datasets Over Time. CHIL (2023)

volume 209, 2023

Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA. CHIL 209 (2023)

2022

volume 174, 2022

Conference on Health, Inference, and Learning, CHIL 2022, 7-8 April 2022, Virtual Event. CHIL 174 (2022)