医学 AI - arXivDaily 专题

1909.06852 2020-04-21 cs.RO eess.IV 57%

Hybrid Robot-assisted Frameworks for Endomicroscopy Scanning in Retinal Surgeries

Zhaoshuo Li, Mahya Shahbazi, Niravkumar Patel, Eimear O' Sullivan, Haojie Zhang, Khushi Vyas, Preetham Chalasani, Anton Deguet, Peter L. Gehlbach, Iulian Iordachita, Guang-Zhong Yang, Russell H. Taylor

专题命中临床大模型：diagnosis(abstract)；分类 eess.IV

Comments Accepted in IEEE TMRB

2004.08287 2020-04-20 eess.AS cs.LG cs.SD stat.ML 57%

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

Jyotibdha Acharya, Arindam Basu

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

2003.11117 2020-03-26 cs.SD cs.CL cs.LG eess.AS 57%

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

2002.08356 2020-03-25 physics.med-ph cs.HC cs.LG stat.ML 57%

Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding

Rongchen Guo, Takanori Fujiwara, Yiran Li, Kelly M. Lima, Soman Sen, Nam K. Tran, Kwan-Liu Ma

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments This is the author's version of the article that has been accepted in PacificVis 2020 Visualization Meets AI Workshop

1909.07208 2020-03-13 cs.HC cs.AI cs.LG eess.AS 57%

MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau, Said Agrebi, Alice Othmani

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments 14 pages, 7 figures, 9 tables

2002.09175 2020-02-28 eess.SP 57%

Depression Detection using Resting State Three-channel EEG Signal

Qiuxia Shi, Ang Liu, Rongyan Chen, Jian Shen, Qinglin Zhao, Bin Hu

专题命中临床大模型：diagnosis(abstract)；分类 eess.SP

Comments 12 pages, 2figures, 1 table

1904.04990 2019-12-24 cs.LG stat.ML 57%

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1911.13232 2019-12-02 cs.LG cs.CL 57%

CONAN: Complementary Pattern Augmentation for Rare Disease Detection

Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1906.00346 2019-11-28 cs.AI cs.CL cs.LG 57%

Pre-training of Graph Augmented Transformers for Medication Recommendation

Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments IJCAI2019; fix some undefined problems; provide more intuitive figures

1806.01551 2019-11-26 stat.ML cs.LG 57%

Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments AAAI 2020

1909.03039 2019-11-18 cs.LG cs.CL stat.ML 57%

Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes

Jonas Kemp, Alvin Rajkomar, Andrew M. Dai

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments Machine Learning for Health (ML4H) at NeurIPS 2019 - extended abstract

1910.13520 2019-10-31 cs.AI cs.LG 57%

Digital Twin approach to Clinical DSS with Explainable AI

Dattaraj Jagdish Rao, Shraddha Mane

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1910.08483 2019-10-21 stat.ML cs.LG stat.AP 57%

Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach

Dimitris Bertsimas, Agni Orfanoudaki, Rory B. Weiner

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1904.08558 2019-10-15 cs.LG stat.ML 57%

Inpatient2Vec: Medical Representation Learning for Inpatients

Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jianmin Wang

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1910.02574 2019-10-08 cs.LG cs.IR stat.ML 57%

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments 5 pages, 2 figures, NeurIPS 2019 Graph Representation Learning Workshop

1910.01803 2019-10-07 cs.LG cs.AI stat.ML 57%

Unsupervised Representation for EHR Signals and Codes as Patient Status Vector

Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1909.09248 2019-09-23 cs.LG stat.ML 57%

Representation Learning for Electronic Health Records

Wei-Hung Weng, Peter Szolovits

专题命中临床大模型：biomedical(abstract)；分类 cs.LG

1903.12069 2019-08-29 cs.CY cs.LG stat.ML 57%

The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes

Sebastian Spänig, Agnes Emberger-Klein, Jan-Peter Sowa, Ali Canbay, Klaus Menrad, Dominik Heider

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments 16 pages, 4 figues

Journal ref Artificial Intelligence in Medicine 2019

1808.03604 2019-08-14 cs.LG stat.ML 57%

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling

Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1809.02665 2019-08-02 cs.LG eess.AS stat.ML 57%

DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results

Sanghyun Choi, Nikita Ivkin, Vladimir Braverman, Michael A. Jacobs

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments 13 pages, 3 figures, US patent

1907.11944 2019-07-30 eess.IV 57%

Low dose SPECT image denoising using a generative adversarial network

Qi Zhang, Jingzhang Sun, Greta S. P. Mok

专题命中临床大模型：diagnosis(abstract)；分类 eess.IV

Comments International Conference on Medical Imaging with Deep Learning 2019. MIDL 2019 [arXiv:1907.08612]

1907.11238 2019-07-29 cs.SD cs.AI cs.LG eess.AS 57%

Interactive Lungs Auscultation with Reinforcement Learning Agent

Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

1907.09538 2019-07-24 cs.LG stat.ML 57%

BEHRT: Transformer for Electronic Health Records

Yikuan Li, Shishir Rao, Jose Roberto Ayala Solares, Abdelaali Hassaine, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi-Khorshidi

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments Shishir Rao and Yikuan Li have equally contributed to this work as first authors. Shishir Rao is Corresponding Author for this work

1907.01099 2019-07-03 cs.LG stat.ML 57%

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments 5 pages, 3 figures, accepted by ICML 2019 Time Series Workshop

1907.01022 2019-07-03 cs.LG stat.ML 57%

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks

Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments International Conference on Machine Learning (ICML) 2019 time series workshop accepted paper

1807.01771 2019-05-30 cs.LG stat.ML 57%

Direct Uncertainty Prediction for Medical Second Opinions

Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert Kleinberg, Sendhil Mullainathan, Jon Kleinberg

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments Accepted for publication at ICML 2019

1809.06018 2019-05-08 cs.LG stat.ML 57%

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network

Xi Sheryl Zhang, Jingyuan Chou, Fei Wang

专题命中临床大模型：medical image(abstract)；分类 cs.LG

1903.12071 2019-03-29 cs.CY cs.AI cs.LG 57%

Big Data Analytics and AI in Mental Healthcare

Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong, Nykan Mirchi, Timothe Langlois-Therrien, Colleen Rollins, Myriam Tanguay-Sela, Joseph Mehltretter, Robert Fratila, Sonia Israel, Emily Snook, Kelly Perlman, Akiva Kleinerman, Bechara Saab, Mark Thoburn, Cheryl Gabbay, Amit Yaniv-Rosenfeld

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments Chapter in the "Big Data in Healthcare" book (Elsevier) [exp. 2019]

1810.05943 2019-03-21 cs.CV 57%

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks

Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang

专题命中临床大模型：diagnosis(abstract)；分类 cs.CV

Comments This paper is accepted to IEEE TMI for future publication. 13 pages, 11 figures, 9 tables

1807.09865 2019-03-06 cs.LG stat.ML 57%

Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data

Samuel J. Weisenthal, Caroline Quill, Samir Farooq, Henry Kautz, Martin S. Zand

专题命中临床大模型：diagnosis(abstract)；分类 cs.LG

Comments In revision

1. 临床大模型 951 篇

Hybrid Robot-assisted Frameworks for Endomicroscopy Scanning in Retinal Surgeries

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding

MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

Depression Detection using Resting State Three-channel EEG Signal

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

CONAN: Complementary Pattern Augmentation for Rare Disease Detection

Pre-training of Graph Augmented Transformers for Medication Recommendation

Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes

Digital Twin approach to Clinical DSS with Explainable AI

Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach

Inpatient2Vec: Medical Representation Learning for Inpatients

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

Unsupervised Representation for EHR Signals and Codes as Patient Status Vector

Representation Learning for Electronic Health Records

The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling

DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results

Low dose SPECT image denoising using a generative adversarial network

Interactive Lungs Auscultation with Reinforcement Learning Agent

BEHRT: Transformer for Electronic Health Records

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks

Direct Uncertainty Prediction for Medical Second Opinions

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network

Big Data Analytics and AI in Mental Healthcare

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks

Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data