The term “zwitterionic polymers” refers to polymers that bear a pair of oppositely charged
groups in their repeating units. When these oppositely charged groups are equally …

Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

摘要糖尿病治疗在很大程度上取决于患者的自我管理及主观能动性, 因为糖尿病患者每天都必须
做出很多决定, 例如吃什么, 什么时候运动, 如果需要的话还要决定注射多少剂量的胰岛素以及何 …

Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

Data mining can generally be defined as a technique for finding patterns (extraction) or
interesting information in large amounts of data that have meaning for decision support. One …

Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …

With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

Background and objective During the recent global urgency, scientists, clinicians, and
healthcare experts around the globe keep on searching for a new technology to support in …

Diabetes is a dreadful disease identified by escalated levels of glucose in the blood.
Machine learning algorithms help in identification and prediction of diabetes at an early …

Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …