Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study.
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Machine Learning and Data Mining Methods in Diabetes ResearchPrediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine LearningSystems and precision medicine approaches to diabetes heterogeneity: a Big Data perspectiveDevelopment of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.Careflow Mining Techniques to Explore Type 2 Diabetes Evolution.Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF)
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Q31157922-86BF6C3D-59E1-4BA7-8CCE-8A2819A3D7F0Q36160422-2E63B3C9-BBF6-4DDD-B780-B261831AE204Q38661011-5E13B10B-4E57-4F4B-9959-23104B63ECE0Q45949252-565F63ED-21BE-4267-9CA6-7C38C8A055EAQ47653011-C4DCC2B6-3E07-4E5B-A1E5-657E2B4ACE4EQ52371116-3B518D04-3699-4BD3-BE9B-DA5CF43BC45EQ58699512-A485073E-54B9-433C-A0D9-0B5073A86559
P2860
Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Electronic health record pheno ...... selected, retrospective study.
@en
type
label
Electronic health record pheno ...... selected, retrospective study.
@en
prefLabel
Electronic health record pheno ...... selected, retrospective study.
@en
P2093
P2860
P1476
Electronic health record pheno ...... nselected, retrospective study
@en
P2093
April Thames
Ariana E Anderson
Jiayang Xiao
Mark S Cohen
P2860
P304
P356
10.1016/J.JBI.2015.12.006
P577
2015-12-17T00:00:00Z
P5875
P698
P818
1501.02402