Machine Learning for Early Detection of Nonresponders to Lifestyle Intervention for Prediabetes

被引：0
|
作者：
Foppiani, Andrea
De Amicis, Ramona
Leone, Alessandro
Bertoli, Simona
Battezzati, Alberto
机构：
来源：
DIABETES | 2022年 / 71卷
关键词：
D O I：
10.2337/db22-25-OR
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
25-OR
引用
收藏
页数：1
相关论文
共 50 条
  • [31] Reversal of Prediabetes in Saudi Adults: Results from an 18 Month Lifestyle Intervention
    Amer, Osama E.
    Sabico, Shaun
    Alfawaz, Hanan A.
    Aljohani, Naji
    Hussain, Syed Danish
    Alnaami, Abdullah M.
    Wani, Kaiser
    Al-Daghri, Nasser M.
    NUTRIENTS, 2020, 12 (03)
  • [32] Action research led to a feasible lifestyle intervention in general practice for people with prediabetes
    Maindal, Helle Terkildsen
    Bonde, Ane
    Aagaard-Hansen, Jens
    PRIMARY CARE DIABETES, 2014, 8 (01) : 23 - 29
  • [33] Short-term effects of lifestyle intervention in the reversion to normoglycemia in people with prediabetes
    Liu, Yuxiang
    Guo, Haijian
    Wang, Qing
    Chen, Jianshuang
    Xuan, Yan
    Xu, Jinshui
    Liu, Yu
    Sun, Kaicheng
    Gao, Qian
    Sun, Zilin
    Wang, Bei
    PRIMARY CARE DIABETES, 2022, 16 (01) : 168 - 172
  • [34] PERSONALIZED AI-DELIVERED LIFESTYLE INTERVENTION FOR DIABETES/PREDIABETES IN PRIMARY CARE
    Colwell, Niall
    Sheppard, Andrew
    Collins, Donal
    ATHEROSCLEROSIS, 2024, 399 : 60 - 61
  • [35] Unsupervised machine learning framework for early machine failure detection in an industry
    Hasan, Nabeela
    Chaudhary, Kiran
    Alam, Mansaf
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2021, 24 (05): : 1497 - 1508
  • [36] Machine learning use in early ovarian cancer detection
    Emmanuel Kokori
    Nicholas Aderinto
    Gbolahan Olatunji
    Israel Charles Abraham
    Rosemary Komolafe
    Bonaventure Ukoaka
    Owolabi Samuel
    Chidiogo Ezenwoba
    Ebuka Kennedy Anyachebelu
    Discover Medicine, 2 (1):
  • [37] Early Detection of Lung Carcinoma Using Machine Learning
    Oliver, A. Sheryl
    Jayasankar, T.
    Sekar, K. R.
    Devi, T. Kalavathi
    Shalini, R.
    Poojalaxmi, S.
    Viswesh, N. G.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 30 (03): : 755 - 770
  • [38] Early Detection of Preeclampsia based on a Machine Learning Approach
    Marin, Iuliana
    Pavaloiu, Bujorel-Ionel
    Marian, Constantin-Viorel
    Racovita, Vlad
    Goga, Nicolae
    2019 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB), 2019,
  • [39] Early Detection of Plant Faults by Using Machine Learning
    Henmi, Tomohiro
    Inoue, Akira
    Deng, Mingcong
    Yoshinaga, Sin-ichi
    2016 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2016, : 201 - 205
  • [40] DEVELOPMENT OF A MACHINE LEARNING MODEL FOR EARLY SHOCK DETECTION
    Pinevich, Yuliya
    Amos-Binks, Adam
    Burris, Christie
    Rule, Gregory
    Lowe, Ryan
    Pickering, Brian
    Nemeth, Christopher
    Herasevich, Vitaly
    CRITICAL CARE MEDICINE, 2020, 48
12345