Development and experimental validation of a machine learning model for the prediction of new antimalarials by Mukul Kore, Dimple Acharya, Lakshya Sharma, Shruthi Sridhar Vembar, Sandeep Sundriyal

“…RF-1 displayed 91.7% accuracy, 93.5% precision, 88.4% sensitivity and 97.3% area under the Receiver operating characteristic (AUROC) for the remaining 20% test set. The predictive performance of RF-1 was comparable to that of the malaria inhibitor prediction platform (MAIP), a recently reported consensus model based on a large proprietary dataset. …”
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The Role of the Self-Differentiation and Mindfulness in Predicting Disturbed Eating Behaviors in Adolescent’s Diabetic by Khadijeh Khoddari, Sana Nourimoghadam

“…Self-differentiation (β = 0.191) and mindfulness (β = 0.188) were both significant at the p < 0.01 level.Discussion and conclusion: The results indicate that self-differentiation and mindfulness play a significant role in predicting disordered eating behaviors among adolescents with diabetes. …”
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Prediction of the Henry Law Constants for Vapours of Organic Molecules of the Rigid Pivot Type by V.V. Kutarov, B.M. Kats

“…Henry law adsorption constants have been predicted a priori on the basis of the Corresponding States Principle. …”
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Prediction of Response of Existing Building Piles to Adjacent Deep Excavation in Soft Clay by Yao-Ying Liang, Nian-Wu Liu, Feng Yu, Xiao-Nan Gong, Yi-Tian Chen

“…A simplified theoretical method is proposed to predict the additional settlements and axial forces of excavation-adjacent existing building floating piles in soft clay. …”
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Prediction Model of New Onset Atrial Fibrillation in Patients with Acute Coronary Syndrome by Na Wu, Junzheng Li, Xiang Xu, Zhiquan Yuan, Lili Yang, Yanxiu Chen, Tingting Xia, Qin Hu, Zheng Chen, Chengying Li, Ying Xiang, Zhihui Zhang, Li Zhong, Yafei Li

“…The aim of this study is to define risk factors of NOAF in patients with ACS during hospitalization and to develop a prediction model and nomogram for individual risk prediction. …”
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MR T2* Map to Predict Worsening Hypertension Control: A Preliminary Study by Chun-Hung Liu, Jeon-Hor Chen, Antonio Carlos Westphalen, Chun-Ming Chen, Chih-Ping Chang, Wei-Ching Lin

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Predicting the impact of dynamic global urban expansion on urban soil organic carbon by Lingxia Feng, Junjie Jiang, Junguo Hu, Taolve Chen

“…Abstract Urban expansion has triggered significant changes in soil organic carbon (SOC), profoundly affecting the global carbon cycle. The accurate prediction of the global distribution of urban SOC and assessment of the impact of future urban expansion on SOC are essential for urban soil carbon management. …”
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Massive Blood Transfusion for Trauma Score to Predict Massive Blood Transfusion in Trauma by Osaree Akaraborworn, Boonying Siribumrungwong, Burapat Sangthong, Komet Thongkhao

“…A massive blood transfusion (MBT) score is a prediction tool to activate blood banks to prepare blood products. …”
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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction by Sung Jae Kim, Yongbok Cho

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A New Predictive Method for CO2-Oil Minimum Miscibility Pressure by Dangke Ge, Haiying Cheng, Mingjun Cai, Yang Zhang, Peng Dong

“…The samples come from different oil fields, and the injected gas is pure CO2. The prediction results show that, compared with the slim-tube experiment method, the prediction error of this method for CO2-oil MMP is within 2%.…”
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Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning by Jiayu Liu, Xingju Wang, Yanting Li, Xuejian Kang, Lu Gao

“…The accurate evaluation and prediction of highway network traffic state can provide effective information for travelers and traffic managers. …”
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Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM by Bo Sun, Wenting Hu, Hao Wang, Lei Wang, Chengyang Deng

Subjects: “…remaining service life prediction…”
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Comparison of Predictability Using Barrett Universal II and SRK/T Formulas according to Keratometry by Kei Iijima, Kazutaka Kamiya, Yoshihiko Iida, Nobuyuki Shoji

“…Purpose. To compare the predictability of intraocular lens (IOL) power calculation using the Barrett Universal II and the SRK/T formulas, according to the keratometry. …”
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Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics by Mohamed Hashem Kotp, Hossam Ali Ismail, Hassan Ahmed Awad Basyouny, Mohamed Ahmed Aly, Abdelaziz Hendy, Abdulqadir J. Nashwan, Ahmed Hendy, Aliaa Ezz Eldin Abd Elmoaty

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Comparison of scores for predictability of corticosteroid failure in patients with acute severe ulcerative colitis by Knežević Milica A., Janjić Nebojša M., Lečić Vuk B., Todorović Nemanja B., Damjanov Dimitrije D.

“…In relation to rescue therapy, the Lindgren score >8 showed a higher positive predictive value (62.5% vs 47.6%) and higher specificity (70% vs 45%) than the Oxford index, while the negative predictive value and sensitivity of both scores amounted to 100%. …”
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Prediction of Full Field Dynamic Strain from Limited Sets of Measured Data by Peter Avitabile, Pawan Pingle

“…Much effort is expended in attempting to identify the loads and appropriate model for prediction of these types of events. At best, the forces and actual boundary conditions are approximate and have an effect on the overall predicted response and resulting stress-strain that is identified for subsequent evaluation.…”
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Surprise Bug Report Prediction Utilizing Optimized Integration with Imbalanced Learning Strategy by Hui Li, Yang Qu, Shikai Guo, Guofeng Gao, Rong Chen, Guo Chen

“…In order to overcome the imbalanced category distribution of the bugs, a method based on machine learning to predict surprise bugs is presented in this paper. …”
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Preoperative Thrombocytopenia May Predict Poor Surgical Outcome after Extended Hepatectomy by Mohammad Golriz, Omid Ghamarnejad, Elias Khajeh, Mohammadsadegh Sabagh, Markus Mieth, Katrin Hoffmann, Alexis Ulrich, Thilo Hackert, Karl Heinz Weiss, Peter Schirmacher, Markus W. Büchler, Arianeb Mehrabi

“…The aim of this study was to evaluate the predictive potential of platelet counts on the outcome of EH in patients without portal hypertension, splenomegaly, or cirrhosis. …”
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Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling by Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis

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Diffuseness of coronary artery disease impacts on immediate hemodynamic and predicted clinical outcomes by Shigetaka Kageyama, Pruthvi Chenniganahosahalli Revaiah, Tsai Tsung-Ying, Kotaro Miyashita, Akihiro Tobe, Neil O’Leary, Johan H. C. Reiber, Shengxian Tu, Azfar Zaman, Manel Sabaté, Helge Möllmann, Faisal Sharif, Julien Lemoine, Adrian Wlodarczak, Scot Garg, Yoshinobu Onuma, Patrick W. Serruys

“…Based on post-PCI QFR the predicted 2-year VOCE, a powered endpoint in the MVT trial, was 6.1% and 4.2% in diffuse and focal lesions, respectively. …”
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