相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Diagnosis and management of diabetes insipidus for the internist: an update
M. Christ-Crain et al.
JOURNAL OF INTERNAL MEDICINE (2021)
Use of Machine Learning and Hybrid Closed Loop Insulin Delivery at Diabetes Camps
Kasserine A. Taylor et al.
DIABETES TECHNOLOGY & THERAPEUTICS (2020)
Adaptive eigenspace for multi-parameter inverse scattering problems
Marcus J. Grote et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2019)
Artificial Intelligence and Machine Learning in Endocrinology and Metabolism: The Dawn of a New Era
Sriram Gubbi et al.
FRONTIERS IN ENDOCRINOLOGY (2019)
Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning
Imant Daunhawer et al.
PEDIATRIC RESEARCH (2019)
Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining
Konstantinos Vougas et al.
PHARMACOLOGY & THERAPEUTICS (2019)
Water Supplementation Reduces Copeptin and Plasma Glucose in Adults With High Copeptin: The H2O Metabolism Pilot Study
Sofia Enhorning et al.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2019)
A Copeptin-Based Approach in the Diagnosis of Diabetes Insipidus
W. Fenske et al.
NEW ENGLAND JOURNAL OF MEDICINE (2018)
An introduction and overview of machine learning in neurosurgical care
Joeky T. Senders et al.
ACTA NEUROCHIRURGICA (2018)
Adaptive eigenspace method for inverse scattering problems in the frequency domain
Marcus J. Grote et al.
INVERSE PROBLEMS (2017)
An analytical method for diseases prediction using machine learning techniques
Mehrbakhsh Nilashi et al.
COMPUTERS & CHEMICAL ENGINEERING (2017)
Copeptin in the Differential Diagnosis of the Polydipsia-Polyuria Syndrome-Revisiting the Direct and Indirect Water Deprivation Tests
Wiebke Fenske et al.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2011)
Machine learning for medical diagnosis: history, state of the art and perspective
I Kononenko
ARTIFICIAL INTELLIGENCE IN MEDICINE (2001)