Improving Neuropharmacology using Big Data, Machine Learning and Computational Algorithms

被引：24
|
作者：
Shameer, Khader [1 ,7 ]
Nayarisseri, Anuraj [2 ,3 ]
Romero Duran, Francisco Xavier [4 ]
Gonzalez-Diaz, Humberto [5 ,6 ]
机构：
[1] Mt Sinai Hlth Syst, Dept Genet & Genom Sci, Icahn Inst Genom & Multiscale Biol, INGH, New York, NY 10029 USA
[2] Eminent Biosci, Bioinformat Res Lab, Indore 452010, Madhya Pradesh, India
[3] Legene Biosci, In Silico Res Lab, Indore 452010, Madhya Pradesh, India
[4] IMQ Zorrotzaurre Clin, Ballets Olaeta Kalea 4, Bilbao 48014, Bizkaia, Spain
[5] Univ Basque Country, UPV EHU, Dept Organ Chem 2, Leioa 48940, Biscay, Spain
[6] Ikerbasque, Basque Fdn Sci, Bilbao 48011, Biscay, Spain
[7] Healthcare Transformat Serv, Philips Healthcare, 2 Canal Pk, Cambridge, MA 02141 USA
来源：
CURRENT NEUROPHARMACOLOGY | 2017年 / 15卷 / 08期
基金：
美国国家卫生研究院;
关键词：
ALZHEIMERS-DISEASE; ANOPHELES-GAMBIAE; PROTEIN-SEQUENCE; UNITED-STATES; DRUG; INTEGRATION; PREDICTION; DESIGN;
D O I：
10.2174/1570159X1508171114113425
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
引用
收藏
页码：1058 / 1061
页数：4
相关论文
共 50 条
  • [21] Effective Selection of Machine Learning Algorithms for Big Data Analytics Using Apache Spark
    Hafez, Manar Mohamed
    Shehab, Mohamed Elemam
    El Fakharany, Essam
    Hegazy, Abd El Ftah Abdel Ghfar
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2016, 2017, 533 : 692 - 704
  • [22] Improving Subsurface Characterisation with 'Big Data' Mining and Machine Learning
    Brackenridge, Rachel E.
    Demyanov, Vasily
    Vashutin, Oleg
    Nigmatullin, Ruslan
    [J]. ENERGIES, 2022, 15 (03)
  • [23] Developing and Validating an Emergency Triage Model Using Machine Learning Algorithms with Medical Big Data
    Gao, ZhenZhen
    Qi, Xuan
    Zhang, XingTing
    Gao, XinZhen
    He, XinHua
    Guo, ShuBin
    Li, Peng
    [J]. RISK MANAGEMENT AND HEALTHCARE POLICY, 2022, 15 : 1545 - 1551
  • [24] Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics
    Egwim, Christian Nnaemeka
    Alaka, Hafiz
    Egunjobi, Oluwapelumi Oluwaseun
    Gomes, Alvaro
    Mporas, Iosif
    [J]. JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY, 2024, 22 (04) : 1325 - 1350
  • [25] Privacy-preserving Machine Learning Algorithms for Big Data Systems
    Xu, Kaihe
    Yue, Hao
    Guo, Linke
    Guo, Yuanxiong
    Fang, Yuguang
    [J]. 2015 IEEE 35TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, 2015, : 318 - 327
  • [26] Big data and machine learning algorithms for health-care delivery
    Ngiam, Kee Yuan
    Khor, Ing Wei
    [J]. LANCET ONCOLOGY, 2019, 20 (05): : E262 - E273
  • [27] Parallel and Distributed Machine Learning Algorithms for Scalable Big Data Analytics
    Bal, Henri
    Pal, Arindam
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 108 : 1159 - 1161
  • [28] Anomaly Detection with Machine Learning Algorithms and Big Data in Electricity Consumption
    Oprea, Simona-Vasilica
    Bara, Adela
    Puican, Florina Camelia
    Radu, Ioan Cosmin
    [J]. SUSTAINABILITY, 2021, 13 (19)
  • [29] A Research Study on Running Machine Learning Algorithms on Big Data with Spark
    Kerestely, Arpad
    Baicoianu, Alexandra
    Bocu, Razvan
    [J]. KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT I, 2021, 12815 : 307 - 318
  • [30] Performance Analysis of Machine Learning Algorithms for Big Data Classification: ML and Al-Based Algorithms for Big Data Analysis
    Punia, Sanjeev Kumar
    Kumar, Manoj
    Stephan, Thompson
    Deverajan, Ganesh Gopal
    Patan, Rizwan
    [J]. INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2021, 12 (04) : 60 - 75
12345