Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data

被引：0

作者：

Chethan Jujjavarapu

Pradeep Suri

Vikas Pejaver

Janna Friedly

Laura S. Gold

Eric Meier

Trevor Cohen

Sean D. Mooney

Patrick J. Heagerty

Jeffrey G. Jarvik

机构：

[1] University of Washington,Department of Biomedical Informatics and Medical Education, School of Medicine

[2] University of Washington,Clinical Learning, Evidence and Research Center

[3] University of Washington,Department of Rehabilitation Medicine

[4] Icahn School of Medicine at Mount Sinai,Institute for Genomic Health

[5] Icahn School of Medicine at Mount Sinai,Department of Genetics and Genomic Sciences

[6] University of Washington,Department of Radiology

[7] University of Washington,Department of Biostatistics

[8] University of Washington,Center for Biomedical Statistics

[9] University of Washington,Department of Neurological Surgery

[10] University of Washington,Department of Health Services

来源：

BMC Medical Informatics and Decision Making | / 23卷

关键词：

Lower back pain; Lumbar spinal stenosis; Lumbar disc herniation; Deep learning; Generalizability; Multimodal; Machine learning; Decompression surgery; Prediction; Classification;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[41] Predicting recovery following stroke: Deep learning, multimodal data and feature selection using explainable AI [J].

White, Adam ;

Saranti, Margarita ;

Garcez, Artur d'Avila ;

Hope, Thomas M. H. ;

Price, Cathy J. ;

Bowman, Howard .

NEUROIMAGE-CLINICAL, 2024, 43

[42] Multimodal Machine Learning for Predicting Post-Surgery Quality of Life in Colorectal Cancer Patients [J].

Rhanoui, Maryem ;

Mikram, Mounia ;

Amazian, Kamelia ;

Ait-Abderrahim, Abderrahim ;

Yousfi, Siham ;

Toughrai, Imane .

JOURNAL OF IMAGING, 2024, 10 (12)

[43] Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data [J].

Mahootiha, Maryamalsadat ;

Qadir, Hemin Ali ;

Bergsland, Jacob ;

Balasingham, Ilangko .

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 244

[44] A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping [J].

Alipour, Mohamad ;

La Puma, Inga ;

Picotte, Joshua ;

Shamsaei, Kasra ;

Rowell, Eric ;

Watts, Adam ;

Kosovic, Branko ;

Ebrahimian, Hamed ;

Taciroglu, Ertugrul .

FIRE-SWITZERLAND, 2023, 6 (02)

[45] Multimodal deep learning for biomedical data fusion: a review [J].

Stahlschmidt, Soren Richard ;

Ulfenborg, Benjamin ;

Synnergren, Jane .

BRIEFINGS IN BIOINFORMATICS, 2022, 23 (02)

[46] Multimodal Deep Learning-based Radiomics Approach for Predicting Surgical Outcomes in Patients with Cervical Ossification of the Posterior Longitudinal Ligament [J].

Maki, Satoshi ;

Furuya, Takeo ;

Katsumi, Keiichi ;

Nakajima, Hideaki ;

Honjoh, Kazuya ;

Watanabe, Shuji ;

Kaito, Takashi ;

Takenaka, Shota ;

Kanie, Yuya ;

Iwasaki, Motoki ;

Furuya, Masayuki ;

Inoue, Gen ;

Miyagi, Masayuki ;

Ikeda, Shinsuke ;

Imagama, Shiro ;

Nakashima, Hiroaki ;

Ito, Sadayuki ;

Takahashi, Hiroshi ;

Kawaguchi, Yoshiharu ;

Futakawa, Hayato ;

Murata, Kazuma ;

Yoshii, Toshitaka ;

Hirai, Takashi ;

Koda, Masao ;

Ohtori, Seiji ;

Yamazaki, Masashi .

SPINE, 2024, 49 (22) :1561-1569

[47] Multimodal data integration for predicting progression risk in castration-resistant prostate cancer using deep learning: a multicenter retrospective study [J].

Zhou, Chuan ;

Zhang, Yun-Feng ;

Guo, Sheng ;

Huang, Yu-Qian ;

Qiao, Xiao-Ni ;

Wang, Rong ;

Zhao, Lian-Ping ;

Chang, De-Hui ;

Zhao, Li-Ming ;

Da, Ming-Xu ;

Zhou, Feng-Hai .

FRONTIERS IN ONCOLOGY, 2024, 14

[48] Multimodal data integration using deep learning predicts overall survival of patients with glioma [J].

Yuan, Yifan ;

Zhang, Xuan ;

Wang, Yining ;

Li, Hongyan ;

Qi, Zengxin ;

Du, Zunguo ;

Chu, Ying-Hua ;

Feng, Danyang ;

Hu, Jie ;

Xie, Qingguo ;

Song, Jianping ;

Liu, Yuqing ;

Cai, Jiajun .

VIEW, 2024, 5 (05)

[49] Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study [J].

Wang, Siyang ;

Suster, Simon ;

Baldwin, Timothy ;

Verspoor, Karin .

JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (12)

[50] Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data [J].

Melotti, Gledson ;

Premebida, Cristiano ;

Goncalves, Nuno .

2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2020), 2020, :177-182

← 1 2 3 4 5 →