A Review of Challenges and Opportunities in Machine Learning for Health

1 June 2018

Papers citing "A Review of Challenges and Opportunities in Machine Learning for Health"

22 / 22 papers shown

Title
DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining Sungyoung Lee Zihan Wang Seunggeun Kim Taekyun Lee Yao Lai David Z. Pan SSL GNN 78 0 0 13 Feb 2025
Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2 Parisa Hatami Richard Annan Luis Urias Miranda Jane Gorman Mengjun Xie Letu Qingge Hong Qin AAML 36 0 0 03 Jan 2025
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset Yujie Dai Brian Sullivan Axel Montout Amy Dillon Chris Waller ... Rachel Denholm Philip Williams Alastair D Hay Raul Santos-Rodriguez Andrew Dowsey 67 0 0 26 Nov 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 36 1 0 09 Feb 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 64 5 0 22 Jan 2024
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 25 0 18 Nov 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER) Wei-Duen Liao J. Voldman OOD CML 9 0 0 20 Sep 2023
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucía Morris Tori Qiu Nikhil Raghuraman 27 0 0 22 Aug 2023
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records Linying Zhang L. Richter Yixin Wang A. Ostropolets Noémie Elhadad David M. Blei G. Hripcsak CML 26 1 0 21 Nov 2022
Learning predictive checklists from continuous medical data Yukti Makhija E. Brouwer Rahul G. Krishnan 30 1 0 14 Nov 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 35 11 0 13 Aug 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them Kendra Albert Maggie K. Delano FaML 24 11 0 15 Mar 2022
Multimodal data matters: language model pre-training over structured and unstructured electronic health records Sicen Liu Xiaolong Wang Yongshuai Hou Ge Li Hui Wang Huiqin Xu Yang Xiang Buzhou Tang 52 30 0 25 Jan 2022
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? Gregory B. Rehm Chao Wang I. Cortés-Puch Chen-Nee Chuah Jason Y. Adams 30 1 0 25 Sep 2021
Machine Learning for Mechanical Ventilation Control Daniel Suo Naman Agarwal Wenhan Xia Xinyi Chen Udaya Ghai ... J. LaChance Tom Zadjel Manuel Schottdorf Daniel J. Cohen Elad Hazan OOD AI4CE 54 10 0 12 Feb 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 51 212 0 14 Jan 2021
Learning how to approve updates to machine learning algorithms in non-stationary settings Jean Feng 16 1 0 14 Dec 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 27 371 0 22 Sep 2020
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels Alexander Lavin BDL MedIm 13 9 0 16 Sep 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves Yanbo Xu Yanxun Xu Suchi Saria CML 59 40 0 18 Aug 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016