Translational Medicine in the Era of Big Data and Machine Learning

被引：27
|
作者：
Weintraub, William S. [1 ]
Fahed, Akl C. [2 ,3 ,4 ,5 ]
Rumsfeld, John S. [6 ]
机构：
[1] Georgetown Univ, MedStar Heart & Vasc Inst, Washington, DC USA
[2] Massachusetts Gen Hosp, Div Cardiol, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Ctr Genom Med, Boston, MA 02114 USA
[4] Broad Inst Harvard & MIT, Cambridge, MA USA
[5] Harvard Med Sch, Boston, MA USA
[6] Univ Colorado, Sch Med, Aurora, CO USA
来源：
CIRCULATION RESEARCH | 2018年 / 123卷 / 11期
关键词：
artificial intelligence; electronic health records; genomics; machine learning; population health; DISEASE; HEALTH;
D O I：
10.1161/CIRCRESAHA.118.313944
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Recent advances in data analytics have given rise to the field of big data and machine learning. This field has the potential to transform medicine, incorporating genomic and other omic as well as electronic health record (EHR) and other clinical data. The goal is personalized medicine. This article provides an overview of the challenges and opportunities of this emerging science.
引用
收藏
页码：1202 / 1204
页数：3
相关论文
共 50 条
  • [41] Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery
    Nayarisseri, Anuraj
    Khandelwal, Ravina
    Tanwar, Poonam
    Madhavi, Maddala
    Sharma, Diksha
    Thakur, Garima
    Speck-Planche, Alejandro
    Singh, Sanjeev Kumar
    [J]. CURRENT DRUG TARGETS, 2021, 22 (06) : 631 - 655
  • [42] A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
    Lee, Su-In
    Celik, Safiye
    Logsdon, Benjamin A.
    Lundberg, Scott M.
    Martins, Timothy J.
    Oehler, Vivian G.
    Estey, Elihu H.
    Miller, Chris P.
    Chien, Sylvia
    Dai, Jin
    Saxena, Akanksha
    Blau, C. Anthony
    Becker, Pamela S.
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [43] A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
    Su-In Lee
    Safiye Celik
    Benjamin A. Logsdon
    Scott M. Lundberg
    Timothy J. Martins
    Vivian G. Oehler
    Elihu H. Estey
    Chris P. Miller
    Sylvia Chien
    Jin Dai
    Akanksha Saxena
    C. Anthony Blau
    Pamela S. Becker
    [J]. Nature Communications, 9
  • [44] The basic and translational science year in review: Confucius in the era of Big Data
    Pisetsky, David S.
    [J]. SEMINARS IN ARTHRITIS AND RHEUMATISM, 2020, 50 (03) : 373 - 379
  • [45] Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
    Kovacs-Gyoeri, Anna
    Ristea, Alina
    Havas, Clemens
    Mehaffy, Michael
    Hochmair, Hartwig H.
    Resch, Bernd
    Juhasz, Levente
    Lehner, Arthur
    Ramasubramanian, Laxmi
    Blaschke, Thomas
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (12)
  • [46] Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming
    Ning, Chao
    You, Fengqi
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2019, 125 : 434 - 448
  • [47] Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine
    Khoury, Muin J.
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2015, 182 (12) : 977 - 979
  • [48] Machine learning for data mining in medicine
    Lavrac, N
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 1999, 1620 : 47 - 62
  • [49] Harnessing Big Data in Neurocritical Care in the Era of Precision Medicine
    Alkhachroum, Ayham
    Terilli, Kalijah
    Megjhani, Murad
    Park, Soojin
    [J]. CURRENT TREATMENT OPTIONS IN NEUROLOGY, 2020, 22 (05)
  • [50] Clinical research of traditional Chinese medicine in big data era
    Junhua Zhang
    Boli Zhang
    [J]. Frontiers of Medicine, 2014, 8 : 321 - 327
12345