Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…The neural network model consists of a hidden layer of neurons with a sigmoidal activation function and an output neuron with a linear activation function, the input values of the dynamic time series, and the predicted value is removed from the output. For a more objective assessment of the prospects of the ANN application, the results of the forecast are presented in comparison with the results obtained in predicting the method of exponential smoothing.Results. …”
Get full text

Global, regional, and national burden of knee osteoarthritis: findings from the Global Burden of Disease study 2021 and projections to 2045 by Yi Ouyang, Miaomiao Dai

“…Notably, the case number of these metrics were predicted to keeping increasing, with predicted values of 658,088,384.48 (322,110,040.98–994,066,727.98), 47,256,502.97 (23,440,017.7–71,072,988.23) and 20,517,479.78 (10,056,930.68–30,978,028.88), respectively. …”
Get full text

Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…The analysis of the practical application effect showed that the conventional Δlog R method had poor accuracy in calculating the total organic carbon content and could not achieve the expected effect. The predicted value of the XGBoost prediction model is in the best agreement with the measured value and has the highest reliability. …”
Get full text

Prospective validation of an artificial intelligence assessment in a cohort of applicants seeking financial compensation for asbestosis (PROSBEST) by Illaa Smesseim, Kevin B. W. Groot Lipman, Stefano Trebeschi, Martijn M. Stuiver, Renaud Tissier, Jacobus A. Burgers, Cornedine J. de Gooijer

“…Secondary objectives included evaluating specificity, accuracy, predictive values, area under the curve of the receiver operating characteristic (ROC-AUC), area under the precision-recall curve (PR-AUC), and interobserver variability. …”
Get full text

Construction and validation of a prognostic prediction model for osteosarcoma in children based on the SEER database by ZHANG Lei, LI Yuwan, WU Yindan, XU Zhi, SHAO Jinfu

“…The calibration curve showed that the predicted values were highly consistent with the observed values. …”
Get full text

External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands by Pieter J. Westenend, Claudia Meurs, Gerardo Fernandez, Marcel Prastawa, Abishek Sainath Madduri, Aaron Feliz, Juan Carlos Mejias, Alexander Shtabsky, Xiaozhu Zhang, Brandon Veremis, Rebecca DeAngel, Michael J. Donovan

“…Model performance was assessed by AUC/C-index, hazard ratios, sensitivity, specificity, and negative and positive predictive values (NPV and PPV, respectively). Results PDxBR showed prognostic accuracy in this external cohort (AUC/C-index 0.71, 95% CI: 0.66–0.75). …”
Get full text

Clinical characteristics and prognosis of primary small cell carcinoma of the breast: a propensity score-matched, population-based study by Lei Yin, Ai-Hong Yin, Chen-Chen Pu

“…The calibration curve in the ROC analysis indicated that the predicted value was consistent with the actual observation value. …”
Get full text

Study of the diagnostic and prognostic value of parameters of cytokine profile, oxidative stress and cytogenetic abnormalities in patients with tick-borne infections by E. N. Ilyinskikh, O. V. Voronkova, K. V. Samoylov, A. V. Semenova, R. R. Hasanova, Yu. I. Bulankov, V. N. Nekrasov, E. I. Petrova, G. N. Kolganova

“…The parameters showed from average to excellent predictive ability as well as high positive and negative predictive values.Conclusion. In patients with tick-borne encephalitis, we detected correlations between the pyrexia levels and the biomarkers of inflammation, oxidative stress, and cytogenetic damage as well as it were found some differences in these parameters from the group of borreliosis patients, which probably had prognostic significance.…”
Get full text

Evaluation of fetal outcomes in dichorionic diamniotic twins with hypertensive disorders during pregnancy by the fetal middle cerebral artery and umbilical artery doppler by Ling-ling Liu, Hai-hua Xu, Xin Lin

“…Background Hypertensive disorders of pregnancy (HDP) is associated with the poor prognosis of dichorionic diamniotic (DCDA) twins. The prediction value of middle cerebral artery (MCA) and umbilical artery (UA) Doppler indices requires exploration.Objective To investigate the significance of the fetal MCA and UA doppler indices in DCDA fetal outcomes and depict hemodynamic alterations.Methods DCDA twin pregnancies were classified into the normotensive control group (n = 177) and the HDP group [n = 189, with 60 gestational hypertensions (GH) and 129 preeclampsia/eclampsia (PE/EC)]. …”
Get full text

Combination of PSA density and MLR improves the diagnostic accuracy of prostate cancer by Feng Guo, Aerken Maolake, Zecheng Ni, Xun Li, Bide Liu, Zetian Tang, Zhenfeng Shi, Jiuzhi Li

“…The area under the curve (AUC) increased when PSAD was combined with MLR in patients with PSA 4–10 ng/mL and patients with PSA 10–22 ng/mL, and the positive predictive values were 81.81% and 90.91%, respectively (P = 0.0008 and P = 0.0002). …”
Get full text

Evaluation of pulmonary function tests and vitamin D level in pre and postmenopausal women by Saima Zareen, Faraz Ahmed Bokhari, Sibgha Zulfiqar

“…Mean serum vitamin D level was 42.91±16.94ng/ml in group 1, and 27.42±6.70ng/ml in group 2 (p = 0.001). The percentage predicted value of age for forced expiratory volume in 1 second, forced vital capacity, and the ratio between the two in group 1 were 82.95±2.75%, 83.10±2.65% and 0.998±0.003% respectively. …”
Get full text

Analysis of the association between glomerular filtration rate, proteinuria and metabolic syndrome in chronic kidney patients based on longitudinal data by Li Guo, Shanshan Guo, Youlan Gong, Jing Li, Jiandong Li

“…The combination of diabetes, hyperlipidemia, UA, SBP, and eGFR exhibited higher prediction value for the CKD patients complicated by MS. …”
Get full text

D-dimer serves as predictor of plastic bronchitis or necrotizing pneumonia in children with Mycoplasma pneumoniae pneumonia by Yanke Yue, Tiantian Lian, Lei Kang, Shuai Liu, Wenjin Geng, Meixian Xu

“…Receiver operating characteristic (ROC) analysis showed that the best cutoff point for D-dimer in predicting PB or NP is 2.44 (mg/L) (AUC = 0.85, 95% CI: 0.76–0.95, sensitivity: 92.31%, specificity: 75.53%, P < 0.001*).ConclusionsThis study found that the elevated DD level (≥2.44 mg/L) has a predicting value for the progression of children with MPP to the composite outcome of PB or NP. …”
Get full text

Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury by Yue Zhang, Chuan Lu, Jingying Xu, Qiqi Ma, Mei Han, Li Ying

“…This study aims to develop novel integrative models to identify DILI-associated liver inflammation and fibrosis, and compare the predictive values with previously developed indexes.MethodsA total of 72 DILI patients diagnosed as DILI through liver biopsy were enrolled in this study. …”
Get full text

THE CRITERIA FOR LYMPH NODE METASTATIC DISEASE IN UTERINE CERVIX CANCER PATIENTS BASED ON MRI FINDINGS by E. G. Zhuk, I. A. Kosenko

“…The sensitivity and specificity with a cutoff of ≥0.8cm were 68 % (CI 48.3‑82.9) and 80 % (CI 63.8‑90.3), respectively; the positive and negative predictive values were 71 % and 78 %, respectively; and the accuracy was 75 % (CI 62.7‑84.3). …”
Get full text

Evaluating educational effectiveness of three-dimensional (3D)-printed training models and custom-made fibula model for osteotomy and flap inset training in head and neck reconstru... by Dharmik Gondalia, Mohit Parakh, Kunal Mokhale, Vineet Kumar, Ameya Bindu, Mayur Mantri, Saumya Mathews, Dushyant Jaiswal, Akshay Bhavke, Vinay Kant Shankhdhar

“…This study aimed to evaluate the educational value of 3D-printed training models and custom-made fibula models in enhancing surgical skills, supported by structured assessments and feedback. …”
Get full text

Artificial Intelligence–Enabled ECG Screening for LVSD in LBBB by Hak Seung Lee, MD, Sooyeon Lee, MD, Sora Kang, MS, Ga In Han, MS, Ah-Hyun Yoo, MS, Jong-Hwan Jang, PhD, Yong-Yeon Jo, PhD, Jeong Min Son, MD, Min Sung Lee, MD, MS, Joon-myoung Kwon, MD, MS, Kyung-Hee Kim, MD, PhD

“…All models were externally validated on 1,334 ECGs from another hospital, with performance assessed by area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and predictive values. Results: In external validation, the transfer learning model achieved the highest AUROC (0.903; 95% CI: 0.887-0.918), closely followed by the general model (0.899; 95% CI: 0.883-0.915); the difference was not significant. …”
Get full text

Unveiling the pathogenic mechanisms of polyethylene terephthalate-microplastic-driven osteoarthritis and rheumatoid arthritis: PTGS2 signaling hub-oriented toxicity profiling by Jingkai Di, Shuang Wang, Lujia Liu, Keying Rong, Zijian Guo, Yingda Qin, Feida Wang, Chuan Xiang

“…After further screening, two proteins such as AKT1 and four proteins such as NR3C1 have relatively high predictive values in OA and RA respectively. Among them, PTGS2 and PET-MPs are strongly correlated targets causing injuries in OA and RA. …”
Get full text

Application of prediction model based on CT radiomics in prognosis of patients with non-small cell lung cancer by Zefei Peng, Yubo Wang, Yurong Qi, Hao Hu, Yang Fu, Jiageng Li, Wei Li, Zhanxuan Li, Weilian Guo, Chunqi Shen, Jiezhi Jiang, Bin Yang

“…The calibration curve exhibited that the predicted values of the prognostic prediction model agreed well with the actual values. …”
Get full text

Prospective observational study to assess the performance accuracy of clinical decision rules in children presenting to emergency departments with possible cervical spine injuries:... by Franz E Babl, Simon Craig, Susan M Donath, Meredith L Borland, Natalie Phillips, Amit Kochar, Gavin A Davis, Shane George, Stuart Dalziel, Arjun Rao, Nathan Kuppermann, Stacy Goergen, Sarah Watson, Amanda Williams, Eunicia Tan, Catherine L Wilson, Michelle Davison, Blessy John-Denny, Sonia Singh, Sharon O’Brien, Geoffrey N Askin, Chris J Selman, Julie C Leonard

“…The performance accuracy (sensitivity, specificity, negative and positive predictive values) of three existing CDRs in identifying children with study-defined CSIs and the specific CDR defined outcomes will be determined, along with multiple secondary outcomes including CSI epidemiology, investigations and management of possible CSI.Ethics and dissemination Ethics approval for the study was received from the Royal Children’s Hospital Melbourne Human Research Ethics Committee in Australia (HREC/69436/RCHM-2020) with additional approvals from the New Zealand Human and Disability Ethics Committee and the SingHealth Centralised Institutional Review Board. …”
Get full text