v1v2v3v4 (latest)

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"

50 / 59 papers shown

Title
Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Afifa Khaled Mohammed Sabir Rizwan Qureshi Camillo Maria Caruso V. Guarrasi Suncheng Xiang S Kevin Zhou 34 0 0 15 Jun 2025
DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining Sungyoung Lee Ziyi Wang Seunggeun Kim Taekyun Lee Yao Lai David Z. Pan SSL GNN 127 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 108 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 135 0 0 26 Nov 2024
Learning Predictive Checklists with Probabilistic Logic Programming Yukti Makhija E. Brouwer Rahul G. Krishnan 145 0 0 25 Nov 2024
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Hojjat Karami David Atienza Anisoara Ionescu 138 1 0 20 Nov 2024
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid Hemank Lamba Anton Abilov Ke Zhang Elizabeth M. Olson Henry k. Dambanemuya ... David S. Batista Christina Wille A. Cahill Joel R. Tetreault Alex Jaimes 66 0 0 08 Oct 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 163 5 0 15 Sep 2024
Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset Diego Dimer Rodrigues AI4CE 26 0 0 27 Aug 2024
Building Machines that Learn and Think with People Katherine M. Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra Lionel Wong ... Mark K. Ho Vikash K. Mansinghka Adrian Weller Joshua B. Tenenbaum Thomas Griffiths 133 39 0 22 Jul 2024
The Efficacy of Conversational Artificial Intelligence in Rectifying the Theory of Mind and Autonomy Biases: Comparative Analysis Marcin Rządeczka Anna Sterna Julia Stoliñska Paulina Kaczyñska Marcin Moskalewicz AI4MH 47 3 0 19 Jun 2024
Application-Driven Innovation in Machine Learning David Rolnick Alán Aspuru-Guzik Sara Beery B. Dilkina P. Donti ... Hannah Kerner C. Monteleoni Esther Rolf Milind Tambe Adam White 79 10 0 26 Mar 2024
Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study Nabil Kahouadji CML 38 0 0 22 Feb 2024
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model Salman Rahman L. Jiang Saadia Gabriel Yindalon Aphinyanagphongs E. Oermann R. Chunara AI4MH LM&MA 63 5 0 14 Feb 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 64 3 0 09 Feb 2024
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System Mingyu Jin Qinkai Yu Dong Shu Chong Zhang Lizhou Fan ... Suiyuan Zhu Yanda Meng Zhenting Wang Jundong Li Yongfeng Zhang LM&MA 100 16 0 01 Feb 2024
Understanding Disparities in Post Hoc Machine Learning Explanation Vishwali Mhasawade Salman Rahman Zoe Haskell-Craig R. Chunara 66 5 0 25 Jan 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 125 7 0 22 Jan 2024
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 114 28 0 18 Nov 2023
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review Hira Naveed Chetan Arora Hourieh Khalajzadeh John C. Grundy O. Haggag 52 16 0 01 Nov 2023
CLAID: Closing the Loop on AI & Data Collection -- A Cross-Platform Transparent Computing Middleware Framework for Smart Edge-Cloud and Digital Biomarker Applications Patrick Langer E. Fleisch F. Barata 18 5 0 09 Oct 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER) Wei-Duen Liao J. Voldman OOD CML 34 0 0 20 Sep 2023
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond Sidra Nasir Rizwan Ahmed Khan Samita Bai 85 34 0 31 Aug 2023
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucía Morris Tori Qiu Nikhil Raghuraman 57 0 0 22 Aug 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 123 1 0 16 Jun 2023
Clinically Labeled Contrastive Learning for OCT Biomarker Classification Kiran Kokilepersaud Stephanie Trejo Corona Mohit Prabhushankar Ghassan Al-Regib C. Wykoff 77 13 0 24 May 2023
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification Yuxin Xiao S. Lim Tom Pollard Marzyeh Ghassemi 79 16 0 18 May 2023
MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine Jie Xu Lu Lu Sen Yang Bilin Liang Xinwei Peng ... Lingrui Yang Huan-Zhi Song Kang Li Xin Sun Shaoting Zhang LM&MA AI4MH 46 8 0 12 May 2023
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications Francesco Cremonesi Marc Vesin Sergen Cansiz Yannick Bouillard Irene Balelli ... B. Houis R. Modzelewski O. Humbert Melek Önen Marco Lorenzi FedML OOD 158 11 0 24 Apr 2023
Synthetic Data in Healthcare Daniel J. McDuff Theodore R. Curran A. Kadambi MedIm SyDa 89 19 0 06 Apr 2023
Interpretability from a new lens: Integrating Stratification and Domain knowledge for Biomedical Applications A. Onoja Francesco Raimondi 12 0 0 15 Mar 2023
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health Peter Washington 74 3 0 07 Mar 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 78 3 0 21 Nov 2022
Learning predictive checklists from continuous medical data Yukti Makhija E. Brouwer Rahul G. Krishnan 61 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 111 14 0 13 Aug 2022
Boosting the interpretability of clinical risk scores with intervention predictions Eric Loreaux Ke Yu Jonas Kemp Martin G. Seneviratne Christina W. Chen ... Ivan V. Protsyuk Natalie Harris Alexander DÁmour Steve Yadlowsky Ming-Jun Chen 39 1 0 06 Jul 2022
When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support Roland Roller Klemens Budde A. Burchardt P. Dabrock Sebastian Möller B. Osmanodja S. Ronicke D. Samhammer S. Schmeier OOD 31 6 0 27 Apr 2022
The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models Michele Bennett J. Balusu K. Hayes Ewa J. Kleczyk, PhD OOD 23 0 0 21 Apr 2022
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics Milena Pavlović Ghadi S. Al Hajj Chakravarthi Kanduri J. Pensar Mollie E. Wood L. Sollid Victor Greiff G. K. Sandve CML OOD AI4CE 70 4 0 20 Apr 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them Kendra Albert Maggie K. Delano FaML 108 12 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 130 34 0 25 Jan 2022
A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform to Facilitate Healthcare AI Research R. Y. Cohen V. Kovacheva 31 5 0 13 Dec 2021
Distribution-Free Federated Learning with Conformal Predictions Charles Lu Jayasheree Kalpathy-Cramer FedML OOD 79 17 0 14 Oct 2021
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 49 1 0 25 Sep 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 105 24 0 20 Jul 2021
Incorporating Domain Knowledge into Health Recommender Systems using Hyperbolic Embeddings Joel Peito Qiwei Han 31 3 0 14 Jun 2021
Does "AI" stand for augmenting inequality in the era of covid-19 healthcare? David Leslie A. Mazumder Aidan Peppin M. Wolters Alexa Hagerty 41 140 0 30 Apr 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 138 10 0 12 Feb 2021
Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms Samantha Robertson Tonya Nguyen Niloufar Salehi 63 66 0 25 Jan 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 121 229 0 14 Jan 2021