Literature DB >> 31242379

Machine Learning in Medicine.

Ben Van Calster1, Laure Wynants2.   

Abstract

Mesh：

Year:  2019        PMID： 31242379     DOI： 10.1056/NEJMc1906060

Source DB:  PubMed          Journal:  N Engl J Med        ISSN： 0028-4793            Impact factor:   91.245


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  9 in total

Review 1.  Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes.

Authors:  Sarah Mullin; Jaroslaw Zola; Robert Lee; Jinwei Hu; Brianne MacKenzie; Arlen Brickman; Gabriel Anaya; Shyamashree Sinha; Angie Li; Peter L Elkin
Journal:  J Biomed Inform       Date:  2021-08-16       Impact factor: 8.000

2.  Predicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data.

Authors:  Kai Guo; Xiaoyan Fu; Huimin Zhang; Mengjian Wang; Songlin Hong; Shuxuan Ma
Journal:  Transl Pediatr       Date:  2021-01

3.  Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?

Authors:  Livia Faes; Dawn A Sim; Maarten van Smeden; Ulrike Held; Patrick M Bossuyt; Lucas M Bachmann
Journal:  Front Digit Health       Date:  2022-01-26

4.  Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.

Authors:  Yixuan Duan; Enrui Xie; Chang Liu; Jingjing Sun; Jie Deng
Journal:  Biomed Res Int       Date:  2022-03-07       Impact factor: 3.411

5.  Machine Learning to Predict Long-Term Cardiac-Relative Prognosis in Patients With Extra-Cardiac Vascular Disease.

Authors:  Guisen Lin; Qile Liu; Yuchen Chen; Xiaodan Zong; Yue Xi; Tingyu Li; Yuelong Yang; An Zeng; Minglei Chen; Chen Liu; Yanting Liang; Xiaowei Xu; Meiping Huang
Journal:  Front Cardiovasc Med       Date:  2021-11-25

Review 6.  Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges.

Authors:  Jiaona Xu; Yuting Meng; Kefan Qiu; Win Topatana; Shijie Li; Chao Wei; Tianwen Chen; Mingyu Chen; Zhongxiang Ding; Guozhong Niu
Journal:  Front Oncol       Date:  2022-07-27       Impact factor: 5.738

7.  Development and Validation of a Machine Learning-Based Nomogram for Prediction of Ankylosing Spondylitis.

Authors:  Jichong Zhu; Qing Lu; Tuo Liang; Hao Li; Chenxin Zhou; Shaofeng Wu; Tianyou Chen; Jiarui Chen; Guobing Deng; Yuanlin Yao; Shian Liao; Chaojie Yu; Shengsheng Huang; Xuhua Sun; Liyi Chen; Wenkang Chen; Zhen Ye; Hao Guo; Wuhua Chen; Wenyong Jiang; Binguang Fan; Xiang Tao; Xinli Zhan; Chong Liu
Journal:  Rheumatol Ther       Date:  2022-08-06

8.  Prediction of lymph node metastasis in patients with breast invasive micropapillary carcinoma based on machine learning and SHapley Additive exPlanations framework.

Authors:  Cong Jiang; Yuting Xiu; Kun Qiao; Xiao Yu; Shiyuan Zhang; Yuanxi Huang
Journal:  Front Oncol       Date:  2022-09-15       Impact factor: 5.738

9.  Machine-Learning Analysis of Voice Samples Recorded through Smartphones: The Combined Effect of Ageing and Gender.

Authors:  Francesco Asci; Giovanni Costantini; Pietro Di Leo; Alessandro Zampogna; Giovanni Ruoppolo; Alfredo Berardelli; Giovanni Saggio; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-09-04       Impact factor: 3.576
  9 in total

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