Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

“…Measures such as accuracy, sensitivity, specificity, negative and positive predictive values and area under the receiver operating characteristics curve (AUC-ROC) were used for the model performance. …”
Get full text

Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

“…The constructed autoregressive model is quite adequate, demonstrates stationarity for the time series of the dependent variable and can be considered suitable for predictive values of the current account of the balance of payments. …”
Get full text

Relationship between diabetes-related clinical characteristics and preserved ratio impaired spirometry (PRISm): findings from NHANES 2007–2012 by Ting Yang, Chen Wang, Ke Huang, TingTing Huang, Xingyao Tang, Yanan Cui, Xu Chu, Yaodie Peng

“…PRISm was defined as having a forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) ratio ≥0.7 and an FEV1 predicted value <80%. We examined the relationship between diabetes duration, fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), log-transformed homeostasis model assessment for insulin resistance, C reactive protein and the number of comorbidities with PRISm in the entire population. …”
Get full text

Clinical impact of combined assessment of myocardial inflammation and fibrosis using myocardial biopsy in patients with dilated cardiomyopathy: a multicentre, retrospective cohort... by Toshihisa Anzai, Yasuo Sugano, Tetsuro Yokokawa, Yoshihiko Ikeda, Hatsue Ishibashi-Ueda, Kazufumi Nakamura, Hiromitsu Kanamori, Michiaki Hiroe, Kaoru Dohi, Takafumi Nakayama, Keiko Ohta Ogo, Kinta Hatakeyama, Yoshihiro Seo, Kyoko Imanaka-Yoshida

“…Here, we investigated the combined prognostic value of these two factors, as evaluated using myocardial biopsy samples.Methods This retrospective and multicentre study included patients with DCM—defined as LVEF of ≤45% and left diastolic diameter of >112% of predicted value, without evidence of secondary or ischaemic cardiomyopathy. …”
Get full text

Primary care patients presenting with unexpected weight loss in Australian general practices: replication of a diagnostic accuracy study by Brian D Nicholson, Jo-Anne Manski-Nankervis, Alex Lee, Meena Rafiq, Jon Emery, Barbara Hunter, Craig Nelson, Damien McCarthy, Brent Venning, George Fishman, Lucas de Mendonça, Sophie Chima, Deborah Daly, Chris Kearney, Fong Seng Lim, Javiera Martinez-Gutierrez

“…Objective We calculate positive predictive values (PPVs) of patients presenting with unexpected weight loss (UWL) being diagnosed with cancer within 6 months, using data from a population of Australian primary care patients to replicate results from a previous UK study.Design A diagnostic accuracy study involving calculation of the PPV for any cancer using retrospective data from routinely collected electronic healthcare records. …”
Get full text

Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions by Baldev Singh, Nisha Kumari-Dewat, Adam Ryder, Vijay Klaire, Hannah Jennens, Kamran Ahmed, Mona Sidhu, Ananth Viswanath, Emma Parry

“…For the GSFSQ-No classification, the mortality odds ratio was 12.4 (11.4–13.5) (p<0.001) vs GSFSQ-Yes (c-statistic 0.72 (0.70–0.73), p<0.001; accuracy, positive and negative predictive values 81.2%, 83.6%, 83.6%, respectively). Had the tool been utilised at the time of admission, the potential to reduce possibly avoidable subsequent hospital admissions, death-in-hospital and bed days was significant (p<0.001). …”
Get full text

Quantitative genetic analysis reveals potential to genetically improve fruit yield through selection in Solanum lycopersicum × Solanum pimpinellifolium crosses under humid conditio... by Chikezie Onuora Ene, Wosene Gebreselassie Abtew, Happiness Ogba Oselebe, Temesgen Matiwos Menamo, Friday Ugadu Ozi, Chibueze Kelechi Ene, Nnamdi Ogwo

“…The genetic effects were estimated using the Hayman model using the best linear unbiased prediction values. Significant differences in traits were observed among parental lines and their crosses. …”
Get full text

DYNAMICS OF INCIDENCE WITH MYOCARDIAL INFARCTION IN THE POPULATION OF KUZBASS AND THE RUSSIAN FEDERATION FOR THE PERIOD 2011-2019 by Андрей Георгиевич Петров, Николай Владимирович Абрамов, Сергей Анатольевич Макаров, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин, Наталья Степановна Черных

“…In order to establish a trend and identify the dynamics of the studied number of indicators as it would be outside the influence of «random» factors, the method of alignment by the method of least squares was applied. The predicted values of the incidence of myocardial infarction in Kuzbass and the Russian Federation have been calculated. …”
Get full text

Validation of an Automated High-Throughput Multiplex Real-Time PCR Assay for Detection of Enteric Protozoa by Rachel Lau, Jason Kwan, Kimberley Marks-Beaubrun, Ruben Cudiamat, Min Qun Ellen Chen, Krista Orejana, Filip Ralevski, Andrea K. Boggild

“…<b>Results</b>: Among 461 unpreserved fecal specimens, sensitivity, specificity, positive predictive and negative predictive values of the enteric multiplex for fresh specimens were as follows: 93%, 98.3%, 85.1%, 99.3% for Bh; 100% for all measures in <i>Cryptosporidium</i> and Cc; 100%, 99.3%, 88.5%, 100% for Df; 33.3%, 100%, 100%, 99.6% for Eh; and 100%, 98.9%, 68.8%, 100% for Gl, respectively. …”
Get full text

Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…Model performance was assessed by comparing the predicted values with the actual hospital arrival measurements using mean absolute error, R² score, residual standard deviation, and Spearman’s correlation coefficient. …”
Get full text

Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer by Xun Wang, Aiping Zhang, Huipeng Yang, Guqing Zhang, Junli Ma, Shucheng Ye, Shuang Ge

“…The calibration curve showed that the predicted value of DLRDN was in good agreement with the actual value. …”
Get full text

Analysis of factors affecting the accuracy of 18F-fluorodeoxyglucose positron emission tomography combined with computed tomography in case of suspected prosthetic valve infective... by I. P. Aslanidi, E. Z. Golukhova, D. M. Pursanova, O. V. Mukhortova, I. V. Shurupova, I. V. Ekaeva, T. A. Katunina, T. A. Trifonova

“…Thus, the sensitivity, specificity and diagnostic accuracy of PET/CT in the diagnosis of PVE were 92%, 67% and 84%, respectively; positive and negative predictive values — 85% and 80%. The analysis of the odds ratio did not reveal the relationship of low inflammatory activity, the interval between surgery and PET/CT from 3 to 6 months, and long-term ABT before PET/CT with false PET/CT results (p&gt;0,05). …”
Get full text

Improving chest pain risk assessment: validation of HEART, TIMI, GRACE, EDACS-ADP, and HET for MACE prediction in the emergency department by Mehdi Nasr Isfahani, Hamidreza Mohseni, Elahe Nasri Nasrabadi, Nizal Sarrafzadegan

“…Diagnostic performance of the risk scores was evaluated using receiver operating characteristic (ROC) curve analysis, including calculation of sensitivity, specificity, positive and negative predictive values, and likelihood ratios at clinically relevant cut-off thresholds. …”
Get full text

Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression by Zhenhao Quan, Lin Lin, Renwei Huang, Kaiyu Sun, Feipeng Xu

“…H-L goodness of fit test showed that there was no significant difference between the predicted value of the model and the actual observed value (χ 2  = 6.438, P = 0.598). …”
Get full text

Cerebrospinal Fluid Leakage Combined with Blood Biomarkers Predicts Poor Wound Healing After Posterior Lumbar Spinal Fusion: A Machine Learning Analysis by Pang Z, Ou Y, Liang J, Huang S, Chen J, Huang S, Wei Q, Liu Y, Qin H, Chen Y

“…Calibration curve analysis showed good consistency between nomogram-predicted values and actual measurements.Conclusion: SLSI, albumin, postoperative glucose, CSFL, NEU and CRP were identified as significant risk factors for PWH after posterior lumbar spinal fusion. …”
Get full text

Validation of a novel questionnaire for assessing occupational exposure to organophosphate pesticides in Chilean agricultural workers by Liliana Zúñiga-Venegas, Liliana Zúñiga-Venegas, Natalia Landeros, Natalia Landeros, Floria Pancetti, Sandra Cortés, Sandra Cortés, Boris Lucero, Ana M. Brito, Ian S. Acuña-Rodríguez, María Teresa Muñoz-Quezada

“…Sensitivity, specificity, predictive values, and Receiver Operating Characteristic (ROC) curve analyses were performed to assess the accuracy.ResultsUrinary DAP levels and AChE inhibition increased in T1 (from 6.54 ± 4.66 to 12.39 ± 9.88 μg/g creatinine, p = 0.004, and from 2.26E-3±6.53E-4 to 1.44E-3±2.73E-4 mmol/min-1*mgProt-1, p &lt; 0.001, respectively), with AChE inhibition (30.99%) exceeding Chilean regulatory threshold. …”
Get full text

NILAI-NILAI KEARIFAN LOKAL DALAM POLA PENGASUHAN ANAK MASYARAKAT BANJAR:KAJIAN ETNOLINGUISTIK by Jahdiah Jahdiah

“…The parenting pattern in the Banjar people contains the local wisdom such as 1) religious values, 2) educational values, 3) moral values, 4) cooperation values, and 5) educational value.…”
Get full text

Identifying barriers to organisation of educational workplace visits by Emma Hirons, Victoria Naoui, Imogen Koopmans, Roma Singhal, Onn Shaun Thein

“…We performed statistical analysis of basic quantifiable data related to educational value. We also performed thematic analysis of open-ended survey questions to identify themes related to barriers.2 Results: Our results showed that the visits were of equivalent educational value across the three deaneries. …”
Get full text

Effectiveness of 2 Just-in-Time Adaptive Interventions for Reducing Stress and Stabilizing Cardiac Autonomic Function: Microrandomized Trials by Andreas Richard Schwerdtfeger, Josef Martin Tatschl, Christian Rominger

“…This metric is quantified by regressing bodily movement on the root mean square of successive differences and identifying reductions <0.5 SD of the predicted value in real time in everyday life. …”
Get full text

Understanding the causal effects and heterogeneity between metabolic syndrome and lung function: a nationwide prospective cohort study in China by Jun Wang, Hai-bin Yu, Si-yuan Lei, Huan-rong Ruan, Xiao-chuan Guo, Jian-sheng Li

“…After applying overlap weighting, MetS exposure demonstrated a significant adverse causal effect on the peak expiratory flow as a percentage of predicted value (PEF%pred) (average treatment effect = -4.20, p < 0.001), and all participants exposed to MetS demonstrated individual treatment effects below zero. …”
Get full text