Data-Driven Phenotyping

被引：7
|
作者：
Nemati, Shamim [1 ]
Orr, Jeremy [2 ]
Malhotra, Atul [3 ]
机构：
[1] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
[2] Univ Calif San Diego, Sch Med, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Sch Med, La Jolla, CA USA
来源：
IEEE PULSE | 2014年 / 5卷 / 05期
关键词：
8;
D O I：
10.1109/MPUL.2014.2339402
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
引用
收藏
页码：45 / 48
页数：4
相关论文
共 50 条
  • [1] Data-Driven Sample Size Determination for Metabolic Phenotyping Studies
    Blaise, Benjamin J.
    [J]. ANALYTICAL CHEMISTRY, 2013, 85 (19) : 8943 - 8950
  • [2] Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
    Oudin, Antoine
    Maatoug, Redwan
    Bourla, Alexis
    Ferreri, Florian
    Bonnot, Olivier
    Millet, Bruno
    Schoeller, Felix
    Mouchabac, Stephane
    Adrien, Vladimir
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [3] Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering
    Gool, Jari K.
    Zhang, Zhongxing
    Oei, Martijn S. S. L.
    Mathias, Stephanie
    Dauvilliers, Yves
    Mayer, Geert
    Plazzi, Giuseppe
    del Rio-Villegas, Rafael
    Cano, Joan Santamaria
    Sonka, Karel
    Partinen, Markku
    Overeem, Sebastiaan
    Peraita-Adrados, Rosa
    Heinzer, Raphael
    Martins da Silva, Antonio
    Hoegl, Birgit
    Wierzbicka, Aleksandra
    Heidbreder, Anna
    Feketeova, Eva
    Manconi, Mauro
    Buskova, Jitka
    Canellas, Francesca
    Bassetti, Claudio L.
    Barateau, Lucie
    Pizza, Fabio
    Schmidt, Markus H.
    Fronczek, Rolf
    Khatami, Ramin
    Lammers, Gert Jan
    [J]. NEUROLOGY, 2022, 98 (23) : E2387 - E2400
  • [4] A survey on big data-driven digital phenotyping of mental health
    Liang, Yunji
    Zheng, Xiaolong
    Zeng, Daniel D.
    [J]. INFORMATION FUSION, 2019, 52 : 290 - 307
  • [5] Unsupervised clustering of central hypersomnolence disorders enables data-driven phenotyping
    Gool, J.
    Zhang, Z.
    Oei, M.
    Mathias, S.
    Fronczek, R.
    Khatami, R.
    Lammers, G.
    [J]. EUROPEAN JOURNAL OF NEUROLOGY, 2022, 29 : 102 - 103
  • [6] Reclassification of moderate aortic stenosis based on data-driven phenotyping of hemodynamic progression
    Iksung Cho
    William D. Kim
    Subin Kim
    Kyu-Yong Ko
    Yeonchan Seong
    Dae-Young Kim
    Jiwon Seo
    Chi Young Shim
    Jong-Won Ha
    Makoto Mori
    Aakriti Gupta
    Seng Chan You
    Geu-Ru Hong
    Harlan M. Krumholz
    [J]. Scientific Reports, 13 (1)
  • [7] Data-driven clinical phenotyping of denosumab exposure in a large United States cohort
    Le, Trang T.
    Breitenstein, Matthew K.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI), 2018, : 432 - 433
  • [8] Sub Phenotyping of Type 2 Diabetes Using Data-driven Cluster Analysis
    Abdullah, Noraidatulakma
    Xian, Goh Ying
    Murad, Nor Azian Abdul
    Kamaruddin, Mohd Arman
    Jalal, Nazihah
    Jamal, Rahman
    [J]. METABOLISM-CLINICAL AND EXPERIMENTAL, 2023, 142 : S17 - S17
  • [9] Reclassification of moderate aortic stenosis based on data-driven phenotyping of hemodynamic progression
    Cho, Iksung
    Kim, William D.
    Kim, Subin
    Ko, Kyu-Yong
    Seong, Yeonchan
    Kim, Dae-Young
    Seo, Jiwon
    Shim, Chi Young
    Ha, Jong-Won
    Mori, Makoto
    Gupta, Aakriti
    You, Seng Chan
    Hong, Geu-Ru
    Krumholz, Harlan M.
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01):
  • [10] Data-Driven Kidney Transplant Phenotyping as a Histology-Independent Framework for Biomarker Discovery
    Buscher, Konrad
    Heitplatz, Barbara
    van Marck, Veerle
    Song, Jian
    Loismann, Sophie
    Rixen, Rebecca
    Huechtmann, Birte
    Kurian, Sunil
    Ehinger, Erik
    Wolf, Dennis
    Ley, Klaus
    Pavenstaedt, Hermann
    Reuter, Stefan
    [J]. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2021, 32 (08): : 1933 - 1945
12345