Features of Development and Course of Disseminated Intravascular Coagulation Syndrome During Surgical Interventions in Children with Oncological Diseases by N. P. Leonov, V. V. Schukin, G. A. Novichkova, M. A. Maschan, F. I. Ataullakhanov, S. S. Yashin, A. M. Zeynalov, Е. A. Spiridonova

“…ROC analysis showed excellent quality of the obtained predictive model (AUC=0,94 [0,9; 0,97]).Conclusion. In children with oncological diseases, in the presence of bleeding, coagulopathy in the postoperative period is transformed into a DIC-syndrome, proceeding clinically with the development of organ failure. …”
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Public health implications of Yersinia enterocolitica investigation: an ecological modeling and molecular epidemiology study by Yuan Yue, Jinxin Zheng, Mei Sheng, Xiang Liu, Qiong Hao, Shunxian Zhang, Shuai Xu, Zhiguo Liu, Xuexin Hou, Huaiqi Jing, Yang Liu, Xuezhang Zhou, Zhenjun Li

“…The random forest (RF) prediction model showed the best performance. The prediction result shows a high risk of pathogenicity Y. enterocolitica was located in the northern, northwestern, and southern of the Ningxia Hui Autonomous Region. …”
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Human Embryonic Stem Cell-Derived Wilson’s Disease Model for Screening Drug Efficacy by Dongkyu Kim, Su-Bin Kim, Jung Lim Ryu, Heesu Hong, Jin-Hyuk Chang, Tack-Jin Yoo, Xiong Jin, Han-Jin Park, Choongseong Han, Beom Hee Lee, Jin-Ho Choi, Han-Wook Yoo, Jong-Hoon Kim, Dong-Hun Woo

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Identification of a novel defined inflammation-related long noncoding RNA signature contributes to predicting prognosis and distinction between the cold and hot tumors in bladder c... by Xi Xiong, Chen Chen, Xinxin Li, Jun Yang, Wei Zhang, Xiong Wang, Hong Zhang, Min Peng, Lili Li, Pengcheng Luo

“…Therefore, this study provides an effective predictive model and a new therapeutic target for the prognosis and clinical treatment of BLCA, thus facilitating the development of individualized tumor therapy.…”
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Predictive Value of Baseline FDG-PET/CT for the Durable Response to Immune Checkpoint Inhibition in NSCLC Patients Using the Morphological and Metabolic Features of Primary Tumors by Ken Kudura, Nando Ritz, Tim Kutzker, Martin H. K. Hoffmann, Arnoud J. Templeton, Robert Foerster, Michael C. Kreissl, Kwadwo Antwi

“…Our results highlight the importance of linking clinical data, as much as morphological features, to the metabolic parameters of primary tumors in a multivariate outcome-predicting model using baseline FDG-PET/CT.…”
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Long-term ozone exposure and all-cause mortality: Cohort evidence in China and global heterogeneity by region by Minjin Peng, Faxue Zhang, Yang Yuan, Zhiming Yang, Kai Wang, Yaqi Wang, Ziqing Tang, Yunquan Zhang

“…Annual warm-season (April–September) O3 and year-round co-pollutants (i.e., nitrogen dioxide [NO2] and fine particulate matter [PM2.5]) were simulated through validated spatial-temporal prediction models and were assigned to each enrollee in each calendar year. …”
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Fatores associados à violência física por parceiro íntimo em usuárias de serviços de saúde Factores asociados a la violencia física por pareja íntima en usuarias de servicios de sa... by Elisabeth Meloni Vieira, Gleici da Silva Castro Perdona, Manoel Antonio dos Santos

“…CONCLUSIONS: The factors identified produced a predictive model that can be used to assess a woman's risk of experiencing intimate partner violence.…”
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Relative band power in assessing temporary neurological dysfunction post- type A aortic dissection surgery: a prospective study by Ya-peng Wang, Li Li, Hua Jin, Yang Chen, Yi Jiang, Wen-xue Liu, Yun-xing Xue, Li Huang, Dong-jin Wang

“…We obtained the simplest predictive model for TND, consisting of three variables (CPB time ≥ 180 min, RBP Delta, RBP Theta, upon which we constructed column charts. …”
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Influence of Roll Speed during Roll Compaction and Its Effect on the Prediction of Ribbon Solid Fraction by Martin Lück, Matthias De Saeger, Peter Kleinebudde

“…Thus, <i>RS</i> seems to be an important factor in the prediction of roll compaction processes and prediction models should include <i>RS</i> as a parameter to improve their accuracy.…”
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Effect of Childhood Trauma on Aggressive Behavior in Stable Schizophrenia Patients: the Chain Mediating Effect of Self-esteem and Resilience by SUN Yujing, ZHANG Jing, YU Hong, ZHOU Yuqiu, JIANG Wenlong, JIA Yannan

“…In the future, a risk prediction model of aggressive behavior in schizophrenia patients can be constructed to assess the risk of aggressive behavior, which is contributive to early identification and management of those at risk of aggression, thereby reducing or preventing the occurrence of aggressive behavior.…”
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A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA by N. Addimando, M. Engel, F. Schwarz, M. Batič

“…The classification of field crops takes advantage of Sentinel-2 satellite data and Numerical Weather Prediction model output data. We exploit the potential of FlexMod to test different feature extractors, temporal encoding frameworks and decoders and we present a comparison between results obtained training a long-short term memory (LSTM) implementation (Breizhcrops, Rußwurm et al. 2020) and a Self-attention transformer model (Vaswani et al. 2017), the latter showing the best performances with accuracy 0.904 and Cohen’s kappa 0.824. …”
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Choroidal vasculature act as predictive biomarkers of long-term ocular elongation in myopic children treated with orthokeratology: a prospective cohort study by Hao Wu, Tianli Peng, Weihe Zhou, Zihan Huang, Hongyu Li, Tengfei Wang, Jingwei Zhang, Kou Zhang, Haoer Li, Yunpeng Zhao, Jia Qu, Fan Lu, Xiangtian Zhou, Jun Jiang

“…The area under the receiver operating characteristic curve of prediction model including baseline CVI, one-month SFCT change, age, and sex achieved 0.872 (95% CI: 0.771 to 0.973) for discriminating children with slow or fast ocular elongation. …”
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National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data by Qigen Lin, Pedro Lima, Stefan Steger, Thomas Glade, Tong Jiang, Jiahui Zhang, Tianxue Liu, Ying Wang

“…The cross-validation results provided evidence that the three established models performed well to predict model-independent landslide information with median AUROCs ranging from 0.8 to 0.9. …”
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Heat Transfer Modeling of Malt Syrup in Semi-rigid Aluminum Based Packaging by Saeede Hamidi, Nafiseh Zamindar, Nayyere Gholipour Shahraki

“…Temperature contours of predicted models (with headspace) were similar to model without headspace at the different stages of the process. …”
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2D-QSAR, molecular docking, drug-likeness, and ADMET/pharmacokinetic predictions of some non-small cell lung cancer therapeutic agents by M.T. Ibrahim, PhD, A. Uzairu, PhD

“…Methods: The two dimensional-quantitative structure–activity relationship (2D-QSAR) modeling was employed on some potential NSCLC therapeutic agents to develop a highly predictive model. Molecular docking-based virtual screening were conducted on the same set of compounds to identify potential hit compounds. …”
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Study on temporal and spatial evolution characteristics of water accumulation in coal mining subsidence area with high groundwater level: taking Anhui Province Mining Area as an ex... by Ru SUN, Xiaojun ZHU, Pengfei ZHANG, Ming LIANG, Xin ZHANG, Zhengyuan NING, Xueni PENG, Hui LIU, Xiaoyu YANG, Wenshan HUANG, Yu YAN, Changzheng DUAN

“…From the spatial scale, the accumulation water is mainly concentrated in Huainan and Huaibei cities, accounting for about 70% of the total accumulated water area. ③The long-term factor for the change of the water accumulation is coal mining volume, while the main influencing factor in short time scale is atmospheric rainfall. ④The logistic regression curve was used to establish a prediction model for the water accumulation area of coal mining subsidence in Anhui Province. …”
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Study on the Relationship between the Contents of Heavy Metals in Rice and Root Soils in Typical Townships in the Western Pearl River Delta by CAO Ning, SUN Bin-bin, ZENG Dao-ming, WEN Mei-lan, WU Chao, HE Ling, CHENG Xiao-meng

“…The characteristics of heavy metal content and its influencing factors were analyzed, and the quantitative prediction model of heavy metal content in rice was established and verified. …”
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Effects of immune inflammation in head and neck squamous cell carcinoma: Tumor microenvironment, drug resistance, and clinical outcomes by Li Zhu, Li Zhu, Yue Wang, Yue Wang, Xingzhong Yuan, Xingzhong Yuan, Yifei Ma, Tian Zhang, Fangwei Zhou, Guodong Yu, Guodong Yu

“…Univariate, LASSO and multivariate Cox regression algorithms were subsequently applied to identify prognostic genes associated with inflammatory factors and to construct prognostic prediction models. The predictive performance of the model was evaluated by Kaplan-Meier survival analysis and receiver operating characteristic curve (ROC). …”
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Prediction of postpartum hemorrhage using traditional statistical analysis and a machine learning approachAJOG Global Reports at a Glance by Vahid Mehrnoush, MD, Amene Ranjbar, MD, Mohammadsadegh Vahidi Farashah, PhD, Fatemeh Darsareh, PhD, Mitra Shekari, MSc, Malihe Shirzadfard Jahromi, MSc

“…BACKGROUND: Early detection of postpartum hemorrhage risk factors by healthcare providers during pregnancy and the postpartum period may allow healthcare providers to act to prevent it. Developing a prediction model that incorporates several risk factors and accurately calculates the overall risk for postpartum hemorrhage is necessary. …”
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Risk factors of adverse outcome of COVID-19 and experience of Tocilizumab administration in patients on maintenance hemodialysis due to diabetic kidney disease by E. M. Zeltyn-Abramov, M. A. Lysenko, N. F. Frolova, T. N. Markova, N. I. Belavina, N. N. Klochkova, S. V. Kondrashkina, R. T. Iskhakov, A. I. Ushakova

“…For risk identification of upcoming lethal outcome a predictive model was created with the use of discovered RF as variables. …”
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