Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model—Reply

Prediction Model ◽

Health Records ◽

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model

JAMA Dermatology ◽

10.1001/jamadermatol.2019.4919 ◽

2020 ◽

Vol 156 (4) ◽

pp. 472

Author(s):

Alexandre Vivot ◽

Jules Grégory ◽

Raphaël Porcher

Keyword(s):

Deep Learning ◽

Prediction Model ◽

Health Records ◽

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model

JAMA Dermatology ◽

10.1001/jamadermatol.2019.4922 ◽

2020 ◽

Vol 156 (4) ◽

pp. 473

Author(s):

Soo Ick Cho ◽

Dongheon Lee ◽

Seong Jin Jo

Keyword(s):

Deep Learning ◽

Prediction Model ◽

Health Records ◽

A Multi-Center Study of COVID-19 Patient Prognosis Using Deep Learning-based CT Image Analysis and Electronic Health Records

European Journal of Radiology ◽

10.1016/j.ejrad.2021.109583 ◽

2021 ◽

pp. 109583

Author(s):

Kuang Gong ◽

Dufan Wu ◽

Chiara Daniela Arru ◽

Fatemeh Homayounieh ◽

Nir Neumark ◽

...

Keyword(s):

Image Analysis ◽

Deep Learning ◽

Ct Image ◽

Health Records ◽

Electronic Health ◽

Ct Image Analysis ◽

Patient Prognosis ◽

Multi Center Study ◽

Center Study

Deep Learning Based Temporal Information Extraction Framework on Chinese Electronic Health Records

Web Information Systems and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-02934-0_19 ◽

2018 ◽

pp. 203-214 ◽

Cited By ~ 2

Author(s):

Bing Tian ◽

Chunxiao Xing

Keyword(s):

Deep Learning ◽

Information Extraction ◽

Temporal Information ◽

Health Records ◽

Electronic Health ◽

Temporal Information Extraction

Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2019.105055 ◽

2019 ◽

Vol 182 ◽

pp. 105055 ◽

Cited By ~ 14

Author(s):

Binh P. Nguyen ◽

Hung N. Pham ◽

Hop Tran ◽

Nhung Nghiem ◽

Quang H. Nguyen ◽

...

Keyword(s):

Type 2 Diabetes ◽

Deep Learning ◽

Health Records ◽

Introduction to Artificial Intelligence and Deep Learning with a Case Study in Analyzing Electronic Health Records for Drug Development

Real-World Evidence in Drug Development and Evaluation ◽

10.1201/9780429398674-8 ◽

2021 ◽

pp. 151-172

Author(s):

Xiaomao Li ◽

Qi Tang

Keyword(s):

Artificial Intelligence ◽

Deep Learning ◽

Drug Development ◽

Health Records ◽

Readmission prediction using deep learning on electronic health records

10.1016/j.jbi.2019.103256 ◽

2019 ◽

Vol 97 ◽

pp. 103256 ◽

Cited By ~ 11

Author(s):

Awais Ashfaq ◽

Anita Sant’Anna ◽

Markus Lingman ◽

Sławomir Nowaczyk

Keyword(s):

Deep Learning ◽

Health Records ◽

A deep learning–based, unsupervised method to impute missing values in electronic health records for improved patient management

10.1016/j.jbi.2020.103576 ◽

2020 ◽

Vol 111 ◽

pp. 103576

Author(s):

Da Xu ◽

Paul Jen-Hwa Hu ◽

Ting-Shuo Huang ◽

Xiao Fang ◽

Chih-Chin Hsu

Keyword(s):

Deep Learning ◽

Patient Management ◽

Missing Values ◽

Health Records ◽

Unsupervised Method ◽

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

10.1016/j.jbi.2019.103337 ◽

2020 ◽

Vol 101 ◽

pp. 103337 ◽

Cited By ~ 10

Author(s):

Jose Roberto Ayala Solares ◽

Francesca Elisa Diletta Raimondi ◽

Yajie Zhu ◽

Fatemeh Rahimian ◽

Dexter Canoy ◽

...

Keyword(s):

Deep Learning ◽

Health Records ◽

Comparative Review ◽

Deep learning predicts extreme preterm birth from electronic health records

10.1016/j.jbi.2019.103334 ◽

2019 ◽

Vol 100 ◽

pp. 103334 ◽

Cited By ~ 4

Author(s):

Cheng Gao ◽

Sarah Osmundson ◽

Digna R. Velez Edwards ◽

Gretchen Purcell Jackson ◽

Bradley A. Malin ◽

...

Keyword(s):

Deep Learning ◽

Preterm Birth ◽

Health Records ◽