Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jianyuan Feng"'
Autor:
Tianshui Yu, Weilun Cheng, Ting Wang, Ziang Chen, Yu Ding, Jianyuan Feng, Yunqiang Duan, Anbang Hu, Mingcui Li, Hanyu Zhang, Yanling Li, Fei Ma, Baoliang Guo
Publikováno v:
The Breast Journal. 2022:1-13
Purpose. This study aims to analyze the survival outcomes of breast cancer (BC) patients, especially centrally located breast cancer (CLBC) patients undergoing breast-conserving therapy (BCT) or mastectomy. Methods. Surveillance, epidemiology, and en
Autor:
Jianyuan Feng, Sediqeh Samadi, Nicole Hobbs, Kamuran Turksoy, Iman Hajizadeh, Ali Cinar, Caterina Lazaro, Mudassir Rashid, Zacharie Maloney, Elizabeth Littlejohn, Mert Sevil
Publikováno v:
Journal of Diabetes Science and Technology. 12:953-966
Background: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes mellitus, automatically considering unannounced meals and exercise without manual user inputs remains challenging. Method: An adaptive model identifi
Autor:
Rachel Brandt, Kamuran Turksoy, Sediqeh Samadi, Caterina Lazaro, Eda Cengiz, Mert Sevil, Xia Yu, Mudassir Rashid, Elizabeth Littlejohn, Zacharie Maloney, Jianyuan Feng, Iman Hajizadeh, Nicole Hobbs, Ali Cinar
Publikováno v:
Journal of Diabetes Science and Technology. 12:639-649
Background: The artificial pancreas (AP) system, a technology that automatically administers exogenous insulin in people with type 1 diabetes mellitus (T1DM) to regulate their blood glucose concentrations, necessitates the estimation of the amount of
Autor:
Jennifer M. Kilkus, Iman Hajizadeh, Sediqeh Samadi, Jianyuan Feng, Nicole Hobbs, Kamuran Turksoy, Mert Sevil, Rachel Brandt, Ali Cinar, Caterina Lazaro, Elizabeth Littlejohn
Publikováno v:
Nutrition and Diabetes ISBN: 9781315200781
Nutrition and Diabetes
Nutrition and Diabetes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9544c256148b3c1ca9144b1461e60f1
https://doi.org/10.1201/b22121-22
https://doi.org/10.1201/b22121-22
Autor:
Jennifer M. Kilkus, Sediqeh Samadi, Ali Cinar, Elizabeth Littlejohn, Jianyuan Feng, Brooks Hibner, Nicole Hobbs, Caterina Lazaro, Iman Hajizadeh, Kamuran Turksoy, Laurie Quinn, Mert Sevil, Nancy Devine, Julia Ritthaler
Background: Exercise challenges people with type 1 diabetes in controlling their glucose concentration (GC). A multivariable adaptive artificial pancreas (MAAP) may lessen the burden. Methods: The MAAP operates without any user input and computes ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60e718cb662f28c906d09576a60d6542
https://europepmc.org/articles/PMC6161329/
https://europepmc.org/articles/PMC6161329/
Publikováno v:
IEEE journal of biomedical and health informatics. 21(3)
A meal detection and meal-size estimation algorithm is developed for use in artificial pancreas (AP) control systems for people with type 1 diabetes. The algorithm detects the consumption of a meal and estimates its carbohydrate (CHO) amount to deter
Autor:
Sediqeh Samadi, Ali Cinar, Nicole Frantz, Iman Hajizadeh, Kamuran Turksoy, Caterina Lazaro, Elizabeth Littlejohn, Jianyuan Feng, Jennifer M. Kilkus, Mert Sevil
Fear of hypoglycemia is a major concern for many patients with type 1 diabetes and affects patient decisions for use of an artificial pancreas system. We propose an alternative way for prevention of hypoglycemia by issuing predictive hypoglycemia ala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63279ac5d3463e7cb8e0872f41445f31
https://europepmc.org/articles/PMC5094335/
https://europepmc.org/articles/PMC5094335/