1.Application of deep learning in cancer prognosis prediction model.
Wen CHEN ; Xu WANG ; Huihong DUAN ; Xiaobing ZHANG ; Ting DONG ; Shengdong NIE
Journal of Biomedical Engineering 2020;37(5):918-929
In recent years, deep learning has provided a new method for cancer prognosis analysis. The literatures related to the application of deep learning in the prognosis of cancer are summarized and their advantages and disadvantages are analyzed, which can be provided for in-depth research. Based on this, this paper systematically reviewed the latest research progress of deep learning in the construction of cancer prognosis model, and made an analysis on the strengths and weaknesses of relevant methods. Firstly, the construction idea and performance evaluation index of deep learning cancer prognosis model were clarified. Secondly, the basic network structure was introduced, and the data type, data amount, and specific network structures and their merits and demerits were discussed. Then, the mainstream method of establishing deep learning cancer prognosis model was verified and the experimental results were analyzed. Finally, the challenges and future research directions in this field were summarized and expected. Compared with the previous models, the deep learning cancer prognosis model can better improve the prognosis prediction ability of cancer patients. In the future, we should continue to explore the research of deep learning in cancer recurrence rate, cancer treatment program and drug efficacy evaluation, and fully explore the application value and potential of deep learning in cancer prognosis model, so as to establish an efficient and accurate cancer prognosis model and realize the goal of precision medicine.
Deep Learning
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Humans
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Neoplasms
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Precision Medicine
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Prognosis
2.The effect of Ba Duan Jin on the balance of community-dwelling older adults: a cluster randomized control trial
Leilei DUAN ; Yubin ZHAO ; Yuliang ER ; Pengpeng YE ; Wei WANG ; Xin GAO ; Xiao DENG ; Ye JIN ; Yuan WANG ; Cuirong JI ; Xinyan MA ; Cong GAO ; Yuhong ZHAO ; Suqiu ZHU ; Shuzhen SU ; Xin'e GUO ; Juanjuan PENG ; Yan YU ; Chen YANG ; Yaya SU ; Ming ZHAO ; Lihua GUO ; Yiping WU ; Yangnu LUO ; Ruilin MENG ; Haofeng XU ; Huazhang LIU ; Huihong RUAN ; Bo XIE ; Huimin ZHANG ; Yuhua LIAO ; Yan CHEN ; Linhong WANG
Chinese Journal of Epidemiology 2024;45(2):250-256
Objective:To assess the effectiveness of a 6-month Ba Duan Jin exercise program in improving the balance of community-dwelling older adults.Methods:A two arms, parallel-group, cluster randomized controlled trial was conducted in 1 028 community residents aged 60-80 years in 40 communities in 5 provinces of China. Participants in the intervention group (20 communities, 523 people) received Ba Duan Jin exercise 5 days/week, 1 hour/day for 6 months, and three times of falls prevention health education, and the control group (20 communities, 505 people) received falls prevention health education same as the intervention group. The Berg balance scale (BBS) score was the leading outcome indicator, and the secondary outcome indicators included the length of time of standing on one foot (with eyes open and closed), standing in a tandem stance (with eyes open and closed), the closed circle test, and the timed up to test.Results:A total of 1 028 participants were included in the final analysis, including 731 women (71.11%) and 297 men (28.89%), and the age was (69.87±5.67) years. After the 3-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 3.05 (95% CI: 2.23-3.88) points ( P<0.001). After the 6-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 4.70 (95% CI: 4.03-5.37) points ( P<0.001). Ba Duan Jin showed significant improvement ( P<0.05) in all secondary outcomes after 6 months of exercise in the intervention group compared with the control group. Conclusions:This study showed that Ba Duan Jin exercise can improve balance in community-dwelling older adults aged 60-80. The longer the exercise time, the better the improvement.
3. Clinical analysis of 31 cases of 2019 novel coronavirus infection in children from six provinces (autonomous region) of northern China
Duan WANG ; Xiuli JU ; Feng XIE ; Yan LU ; Feiyu LI ; Huihong HUANG ; Xiuling FANG ; Yuanjun LI ; Jianyun WANG ; Bin YI ; Juxia YUE ; Jing WANG ; Lingxiao WANG ; Bo LI ; Yi WANG ; Bingping QIU ; Zhiyuan ZHOU ; Keliang LI ; Jianhua SUN ; Xuegong LIU ; Guodong LI ; Yongjun WANG ; Aihua CAO ; Yanni CHEN
Chinese Journal of Pediatrics 2020;58(4):E011-E011
Objective:
To analyze the epidemiological history, clinical manifestations, treatment and the short-term prognosis of 31 cases of 2019 novel coronavirus(2019-nCoV) infection in children from six provinces (autonomous region) in northern China.
Methods:
A retrospective analysis of the epidemiological history, clinical symptoms, signs, laboratory examinations, chest imaging, treatment and the short-term prognosis of 31 cases of 2019-nCoV was conducted. The patients were diagnosed between January 25th, 2020 and February 21st, 2020 in 21 hospitals in 17 cities of six provinces(autonomous region) of Shaanxi, Gansu, Ningxia, Hebei, Henan and Shandong.
Results:
The age of the 31 children with 2019-nCoV infection was 7 years and 1 month (6 months -17 years). Nine cases (29%) were imported cases. Other 21 cases (68%) had contact with confirmed infected adults. One case (3%) had contact with asymptomatic returnees from Wuhan. Among the 31 children, 28 patients (90%) were family cluster cases. The clinical types were asymptomatic type in 4 cases (13%), mild type in 13 cases (42%), and common type in 14 cases (45%). No severe or critical type existed. The most common symptom was fever (