Publications by authors named "Hongru Lu"
Background: Breast cancer has become one of the most frequently diagnosed carcinomas and the leading cause of cancer deaths. The substantial growth in the number of breast cancer patients has put great pressure on health services. Meanwhile, the information patients need has increased and become more complicated.
View Article and Find Full Text PDF[The Experience of Caring for a Child Suffering From Incontinent Dermatitis].
Hu Li Za Zhi
December 2017
This paper describes the experience of caring for a child with incontinent dermatitis that was caused by improper family care. From March 27, 2015 to April 2, 2015, the authors used Gordon's 11 functional health parameters to collect subjective and objective data on the physical, mental and social conditions of the care recipient. To understand the nursing-related problems, including impaired skin integrity, acute pain, and caregiver anxiety, the data for this case and his mother were conducted by observation, physical assessment, the process of caring, and communication.
View Article and Find Full Text PDFArticle Synopsis
- The study investigated the short-term outcomes of extremely low birth weight (ELBW) infants in neonatal intensive care units (NICUs) across mainland China, finding that out of 258 infants admitted, the overall survival rate at discharge was 50%.
- Key risk factors for mortality included a birth weight under 750 g and a gestational age less than 28 weeks, while being small for gestational age provided some protection; common complications included respiratory distress syndrome and patent ductus arteriosus.
- This research marks the first comprehensive survey of ELBW infant outcomes in China, highlighting significant regional differences in survival rates and various health challenges faced during NICU stays.
Objective: To establish an early diagnostic system for hypoxic ischemic encephalopathy (HIE) in newborns based on artificial neural networks and to determine its feasibility.
Methods: Based on published research as well as preliminary studies in our laboratory, multiple noninvasive indicators with high sensitivity and specificity were selected for the early diagnosis of HIE and employed in the present study, which incorporates fuzzy logic with artificial neural networks.
Results: The analysis of the diagnostic results from the fuzzy neural network experiments with 140 cases of HIE showed a correct recognition rate of 100% in all training samples and a correct recognition rate of 95% in all the test samples, indicating a misdiagnosis rate of 5%.