BlockIoT: Blockchain-based Health Data Integration using IoT Devices [PDF]
arXiv, 2021 The development and adoption of Electronic Health Records (EHR) and health monitoring Internet of Things (IoT) Devices have enabled digitization of patient records and has also substantially transformed the healthcare delivery system in aspects such as remote patient monitoring, healthcare decision making, and medical research.
arxiv
Glucocorticoid therapy for adrenal insufficiency: nonadherence, concerns and dissatisfaction with information [PDF]
, 2016 Objective: Appropriate self‐management of glucocorticoid therapy (GC) is crucial for patients with adrenal insufficiency (AI). We aimed to describe patients’ self‐reported nonadherence to GC, evaluate perceived doubts about need for GC, concerns about ...
Carroll, P. +3 more
core +2 more sources
European Society of Endocrinology Clinical Practice Guideline: Endocrine work-up in obesity.
European Journal of Endocrinology, 2020 Obesity is an emerging condition, with a prevalence of ~20%. Although the simple measurement of BMI is likely a simplistic approach to obesity, BMI is easily calculated, and there are currently no data showing that more sophisticated methods are more ...
Renato Pasquali +10 more
semanticscholar +1 more source
Robust One-Step Estimation of Impulsive Time Series [PDF]
arXiv, 2023 The paper deals with the estimation of a signal model in the form of the output of a continuous linear time-invariant system driven by a sequence of instantaneous impulses, i.e. an impulsive time series. This modeling concept arises in, e.g., endocrinology when episodic hormone secretion events and elimination rates are simultaneously estimated from ...
arxiv
Journal of Clinical & Translational Endocrinology, 2021 Background: Limitations in access to specialty diabetes care exist. Endocrinology eConsult that integrates professional continuous glucose monitoring (CGM-enhanced eConsult) may improve healthcare delivery, but has yet to be evaluated.
Kathryn L. Fantasia +9 more
doaj
Resident-Guided Case Discussions in Reproductive Endocrinology & Infertility
MedEdPORTAL, 2012 This resource is a series of resident-guided case discussions in reproductive endocrinology and infertility. It is designed to be an adjunctive curriculum tool to allow trainees in gynecology to improve their comfort with core concepts in reproductive ...
Brenda Houmard +2 more
doaj +1 more source
Sex differences in the pituitary TGFβ1 system: the role of TGFβ1 in prolactinoma development [PDF]
, 2019 Prolactinomas are the most frequent functioning pituitary adenomas, and sex differences in tumor size, behavior and incidence have been described. These differences have been associated with earlier diagnosis in woman, as well as with serum estradiol ...
Abeledo Machado, Alejandra Inés +6 more
core +1 more source
Outcomes of Early Transition of Low-Risk Thyroid Cancer Patients from Specialist to Primary Care
Current Oncology, 2022 Background: Recently published clinical pathways for management of thyroid cancer outlined the criteria for transitioning low-risk patients to primary care within one to five years from diagnosis. However, discharge patterns among endocrinologists remain
Patricia Nguyen +3 more
doaj +1 more source
Application of diversified teaching in the clinical teaching of Endocrinology Department for Eight-year Medical Program students [PDF]
Jichu yixue yu linchuang, 2023 Objective To explore the influence of different teaching strategies on the clinical teaching effect of Eight-year Medical Program students in Endocrinology Department.
SONG An, Li Ran, LIU Yiwen, ZHOU Xiang, DUAN Lian, WANG Ou, LI Yuxiu
doaj +1 more source
Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Survey [PDF]
arXiv, 2021 With the advancements in computer technology, there is a rapid development of intelligent systems to understand the complex relationships in data to make predictions and classifications. Artificail Intelligence based framework is rapidly revolutionizing the healthcare industry. These intelligent systems are built with machine learning and deep learning
arxiv