Academic Journal of Naval Medical University

To analyze the characteristics of 5-year population metabolic indexes of military medical personnel in a tertiary hospital, so as to provide reference for optimizing the health management of metabolic diseases in this population. The health records of military medical personnel in a tertiary hospital from 2016 to 2020 were collected. SPSS 21.0 software was used to analyze the abnormal metabolic

To investigate and analyze the disease spectrum of hospitalized naval officers and soldiers, so as to provide reference for their health management and medical support. The disease spectrum of hospitalized naval officers and soldiers was analyzed based on the front page data of medical records collected from 6 hospitals in a region between 2013 and 2017. The principal discharge diagnoses o

To explore the application value of swelling hemostatic materials in the first aid of war trauma. Polyvinyl alcohol (PVA) and polyether ester-ethyl carbamate (PEEC) were placed in normal saline, anticoagulant rabbit blood, and 1∶1 mixture of normal saline and anticoagulant rabbit blood to evaluate their physical properties in vitro. The volume, weight changes, and pressure

Machine learning is a powerful data analysis technique that can collect and analyze massive data and hidden information, solving the problems of comprehensive diagnosis of multidimensional data, and personalized intervention and treatment, which is urgently needed in the field of mental health. This paper reviews the application of machine learning in diagnosis, treatment, and prognosis of ment

To explore the clinical effect of breast-conserving surgery on young patients with breast cancer. A total of 208 young breast cancer patients (age≤35 years) who were admitted to The Second Affiliated Hospital of Nanchang University from Feb. 2012 to Feb. 2017 were enrolled and divided into breast-conserving group (n=64) and modified radical mastectomy group (control group, n=144). The Mann-W