Machine learning-based algorithm as an innovative approach for the differentiation between diabetes insipidus and primary polydipsia in clinical practice

Diagnosis and management of diabetes insipidus for the internist: an update

(2021) M. Christ‐Crain et al.   JOURNAL OF INTERNAL MEDICINE

Use of Machine Learning and Hybrid Closed Loop Insulin Delivery at Diabetes Camps

(2020) Kasserine A. Taylor et al.   Diabetes Technology & Therapeutics

Artificial Intelligence and Machine Learning in Endocrinology and Metabolism: The Dawn of a New Era

(2019) Sriram Gubbi et al.   Frontiers in Endocrinology

Adaptive eigenspace for multi-parameter inverse scattering problems

(2019) Marcus J. Grote et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning

(2019) Imant Daunhawer et al.   PEDIATRIC RESEARCH

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

(2019) Konstantinos Vougas et al.   PHARMACOLOGY & THERAPEUTICS

A Copeptin-Based Approach in the Diagnosis of Diabetes Insipidus

(2018) Wiebke Fenske et al.   NEW ENGLAND JOURNAL OF MEDICINE

Water supplementation reduces copeptin and plasma glucose in adults with high copeptin: the H2O Metabolism pilot study

(2018) Sofia Enhörning et al.   JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM

Adaptive eigenspace method for inverse scattering problems in the frequency domain

(2017) Marcus J Grote et al.   INVERSE PROBLEMS

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Distinguishing Asthma Phenotypes Using Machine Learning Approaches

(2015) Rebecca Howard et al.   CURRENT ALLERGY AND ASTHMA REPORTS

Copeptin in the Differential Diagnosis of the Polydipsia-Polyuria Syndrome—Revisiting the Direct and Indirect Water Deprivation Tests

(2011) Wiebke Fenske et al.   JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM