Literature DB >> 33442003

Eight ways machine learning is assisting medicine.

Mike May1.   

Abstract

Year:  2021        PMID： 33442003     DOI： 10.1038/s41591-020-01197-2

Source DB:  PubMed          Journal:  Nat Med        ISSN： 1078-8956            Impact factor:   53.440


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  7 in total

1.  Mitigating Bias in Radiology Machine Learning: 1. Data Handling.

Authors:  Pouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Mana Moassefi; Diana V Vera Garcia; Yashbir Singh; Kuan Zhang; Gian Marco Conte; Bradley J Erickson
Journal:  Radiol Artif Intell       Date:  2022-08-24

2.  A Survival Status Classification Model for Osteosarcoma Patients Based on E-CNN-SVM and Multisource Data Fusion.

Authors:  Qiang Zhang; Peng Peng; Yi Gu
Journal:  Comput Intell Neurosci       Date:  2022-07-09

3.  A Novel Machine Learning Algorithm Combined With Multivariate Analysis for the Prognosis of Renal Collecting Duct Carcinoma.

Authors:  Liwei Wei; Yongdi Huang; Zheng Chen; Jinhua Li; Guangyi Huang; Xiaoping Qin; Lihong Cui; Yumin Zhuo
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

4.  Machine Learning-Based Prognostic Prediction Models of Non-Metastatic Colon Cancer: Analyses Based on Surveillance, Epidemiology and End Results Database and a Chinese Cohort.

Authors:  Mo Tang; Lihao Gao; Bin He; Yufei Yang
Journal:  Cancer Manag Res       Date:  2022-01-04       Impact factor: 3.989

5.  Artificial Intelligence Combined With Big Data to Predict Lymph Node Involvement in Prostate Cancer: A Population-Based Study.

Authors:  Liwei Wei; Yongdi Huang; Zheng Chen; Hongyu Lei; Xiaoping Qin; Lihong Cui; Yumin Zhuo
Journal:  Front Oncol       Date:  2021-10-14       Impact factor: 6.244

6.  A Predictive Model for the 10-year Overall Survival Status of Patients With Distant Metastases From Differentiated Thyroid Cancer Using XGBoost Algorithm-A Population-Based Analysis.

Authors:  Shuai Jin; Xing Yang; Quliang Zhong; Xiangmei Liu; Tao Zheng; Lingyan Zhu; Jingyuan Yang
Journal:  Front Genet       Date:  2022-07-08       Impact factor: 4.772

7.  A comparison of machine learning algorithms in predicting COVID-19 prognostics.

Authors:  Serpil Ustebay; Abdurrahman Sarmis; Gulsum Kubra Kaya; Mark Sujan
Journal:  Intern Emerg Med       Date:  2022-09-18       Impact factor: 5.472
  7 in total

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