Zhang, Sheng Huang, Sisi Liu, Jiao Dong, Xuan Meng, Mei Chen, Limin Wen, Zhenliang Zhang, Lidi Chen, Yizhu Du, Hangxiang
...
Published in
Journal of Intensive Medicine
Background Novel coronavirus disease 2019 (COVID-19) is an ongoing global pandemic with high mortality. Although several studies have reported different risk factors for mortality in patients based on traditional analytics, few studies have used artificial intelligence (AI) algorithms. This study investigated prognostic factors for COVID-19 patient...
Conde-Gutiérrez, R A Colorado, D Hernández-Bautista, S L
Published in
Nonlinear dynamics
The present work is focused on modeling and predicting the cumulative number of deaths from COVID-19 in México by comparing an artificial neural network (ANN) with a Gompertz model applying multiple optimization algorithms for the estimation of coefficients and parameters, respectively. For the modeling process, the data published by the daily tech...
Lin, S M Wang, X J Huang, S H Xu, Z B Huang, Y Lu, X R Xu, D B Chi, P
Published in
Zhonghua zhong liu za zhi [Chinese journal of oncology]
目的： 构建预测FOLFOX方案(奥沙利铂＋亚叶酸钙＋氟尿嘧啶)一线治疗转移性结直肠癌(mCRC)疗效的人工神经网络模型。 方法： 从美国国家生物信息中心的基因表达汇编(GEO)数据库获取1组FOLFOX方案一线治疗mCRC的数据(GSE104645)作为训练集，其中FOLFOX方案疗效敏感组(完全缓解和部分缓解患者)31例，耐药组(疾病稳定和疾病进展患者)23例。将训练集样本按7∶3分为内部训练样本和内部测试样本。以福建医科大学附属协和医院结直肠外科采用FOLFOX方案一线治疗的30例mCRC患者的芯片数据集(GSE69657)作为外部验证样本，其中敏感组13例，耐药组17例。运用R 3.5.1软件Combat包对两套矩阵的表达值进行批间差校正。运用GEO2R平台对GSE104645中敏感...
Lu, Anna Wei, Xinxin Cai, Ruikang Xiao, Shujun Yuan, Haina Gong, Jinyan Chu, Bingquan Xiao, Gongnian
Published in
Food Science and Biotechnology
When transporting yogurt, vibrations and sharp movements can damage its quality. This study developed a model to connect the changes in yogurt quality with the transportation distance as simulated by the total number of vibrations. Linear regression analysis showed that there was a significant negative correlation between the water holding capacity...
Que, Si-Jin Chen, Qi-Yue Qing-Zhong, Liu, Zhi-Yu Wang, Jia-Bin Lin, Jian-Xian Lu, Jun Cao, Long-Long Lin, Mi Tu, Ru-Hong
...
Published in
World Journal of Gastroenterology
BACKGROUND Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, there has been no trained preoperative ANN (preope-ANN) model to preoperatively predict the prognosis of...
Hossain, Khandaker M. A. Anwar, Muhammed S. Samani, Shirin G.
Published in
Neural Computing and Applications
This paper describes the development of regression and artificial neural network (ANN) models to determine the 28-day compressive and tensile strength of engineered cementitious composite (ECC) based on the mix design parameters. One hundred eighty ECC mixtures having variable mix designs were obtained from pervious experiments. Factors influencing...
Abbaszadeh Shahri, Abbas
Published in
Geotechnical and Geological Engineering
Application of artificial neural networks (ANN) in various aspects of geotechnical engineering problems such as site characterization due to have difficulty to solve or interrupt through conventional approaches has demonstrated some degree of success. In the current paper a developed and optimized five layer feed-forward back-propagation neural net...
Roy, Palas Dey, Uttiya Chattoraj, Soumya Mukhopadhyay, Debasis Mondal, Naba Kumar
Published in
Applied Water Science
In the present work, the possibility of using a non-conventional finely ground (250 μm) Azadirachta indica (neem) bark powder [AiBP] has been tested as a low-cost biosorbent for the removal of arsenic(III) from water. The removal of As(III) was studied by performing a series of biosorption experiments (batch and column). The biosorption behavior of...
Vatankhah, E. Semnani, D. Prabhakaran, M.P. Tadayon, M. Razavi, S. Ramakrishna, S.
10.1016/j.actbio.2013.09.015 / Acta Biomaterialia / 10 / 2 / 709-721
Dutta, Debashree Chaudhuri, Sutapa
Published in
Natural Hazards
The endeavor of the present research is to nowcast the spatial visibility during fog over the airport of Kolkata (22.6°N; 88.4°E), India, with artificial neural network (ANN) model. The identification of dominant parameters influencing the visibility during wintertime (November–February) fog over the region is made using the decision tree algorithm...
