Selection for high quality pepper seeds by machine vision and classifiers by Ke-ling TU, Lin-juan LI, Li-ming YANG, Jian-hua WANG, Qun SUN

“…In addition, binary logistic regression and a neural network were applied to determine models with high predictive value of seed germination. Single-kernel germination tests were conducted to validate the predictive value of the identified features. …”
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Elevated levels of serum PKM2, Gal-3 and CitH3 could predict pulmonary infection complicated by mechanical ventilation by HUANG Hangdong, LI Danyu, ZHU Xiaofeng

“…Receiver operating characteristic (ROC) curve was used to analyze the predictive value of serum PKM2, Gal-3 and CitH3 for poor prognosis in patients undergoing MV. …”
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CLINICAL DIAGNOSTIC VALUE OF OBSCURE ELECTROENCEPHALOGRAPHIC PATTERN "BROAD SHARP WAVE" IN CHILDREN by I. G. Kovalev, I. L. Stepanishhev, V. P. Zykov, T. A. Voronina

“…Thus, the pattern stitch is likely to play a predictive value for the detection of epilepsy, as an indicator of acute and / or remote brain damage. …”
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Adult-capture assays as a tool to measure insecticide resistance in Anopheles malaria vectors: a modeling comparison with larval-capture assays by Inga Holmdahl, Inga Holmdahl, Caroline O. Buckee, Caroline O. Buckee, Lauren M. Childs

“…In simulated samples of 100 test mosquitoes, reflecting WHO-recommended sample sizes, we found that adult-capture samples had a 94% positive predictive value (PPV) for resistance at the WHO’s 10% resistance cutoff, and a 97% negative predictive value (NPV), compared to 98% PPV and 19% NPV for larval-captured samples. …”
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Diagnostic value of serum origin recognition complex protein 1 in the progression of HBVrelated liver fibrosis by LIANG Hongqian, HUANG Long, REN Aoli, SU Minghua, HU Bobin, LI Qingmei, SU Tumei, YIN Qianbing, LI Aining, JIANG Jianning

“…The area under the ROC curve of serum ORC1 in the diagnosis of liver cirrhosis was 0.644 (P < 0.05), the cutoff value was 1, 000.46 ng/L and the sensitivity, specificity, positive predictive value, negative predictive value, and consistency rate were 56.0%, 76.3%, 35.0%, 88.4%, and 72.5%, respectively. …”
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Value of Rapid Antigen Test in Comparison with Reverse Transcriptase-Polymerase Chain Reaction Method in the Diagnosis of COVID-19 by Alireza MIRAHMADIZADEH, Babak Shirazi YEGANEH, Jafar HASSANZADEH, Leila BADIEE, Mohebat VALI, Zahra MALEKI, Ali AKBARI, Tahereh PAKDEL, Haleh GHAEM

“…Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and the accuracy of the RAT were calculated using the MedCalc software. …”
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Association of high-sensitivity C-reactive protein with fatal and non-fatal cardiovascular events in working-age people: data from the ESSE-RF study by S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, E. B. Yarovaya, Yu A. Balanova, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Maksimov, N. S. Karamnova, Yu. Yu. Samokhina, O. M. Drapkina, N. V. Kulakova, I. A. Trubacheva, A. Yu. Efanov, A. A. Shabunova, O. A. Belova, O. P. Rotar

“…At the same time, adding a wide list of confounders to hs-CRP, sex and age does not improve the model’s predictive value (AUC, 79,7; 78,2-82,1).Conclusion. This study for the first time showed a significant independent contribution of hs-CRP to CVEs development in the Russian population, and the addition of hs-CRP to sex and age significantly increased the predictive value of model.…”
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Extended sample size calculations for evaluation of prediction models using a threshold for classification by Rebecca Whittle, Joie Ensor, Lucinda Archer, Gary S. Collins, Paula Dhiman, Alastair Denniston, Joseph Alderman, Amardeep Legha, Maarten van Smeden, Karel G. Moons, Jean-Baptiste Cazier, Richard D. Riley, Kym I. E Snell

“…We have reported closed-form solutions to estimate the sample size required to target sufficiently precise estimates of accuracy, specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), and an iterative method to estimate the sample size required to target a sufficiently precise estimate of the F1-score, in an external evaluation study of a prediction model with a binary outcome. …”
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Inadequacy of coronary calcium scoring in evaluating coronary artery disease: A call to shifting to high-resolution CT coronary imaging by Jonathan Mokhtar, Mohammad Albaree, Virginia Battistin, Mohamed Asbaita, Fatemeh Akbarpoor, Jeyaseelan Lakshmanan, Hassan El-Tamimi

“…The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CAC against ICA were all calculated using R version 4.4.0. …”
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Natural killer cell as a potential predictive biomarker for early immune checkpoint inhibitor-associated cardiovascular adverse events: a retrospective cohort study by Yujuan Wu, Diansa Gao, Li Tan, Zhulu Chen, Chuan Zhang, Min Mao, Yuxi Zhu, Yuxi Zhu, Yuxi Zhu, Yue Liu, Zhong Zuo

“…This study aimed to assess the predictive value of peripheral immune cells in early ICI-associated CVAEs.MethodsSingle-cell RNA sequencing (scRNA-seq) dataset from the Gene Expression Omnibus database was used to explore immune cell changes associated with ICI-associated CVAEs. …”
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Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants by Jina Lee, Jong Seung Lee, Seak Hee Oh, Jun Sung Park, Reenar Yoo, Soo-young Lim, Dahyun Kim, Min Kyo Chun, Jeeho Han, Jeong-Yong Lee, Seung Jun Choi

“…In validation, both models demonstrated superior specificity (82.3–87.0% vs 46.2–72.2%) and positive predictive value (61.5–68.5% vs 34.4–49.8%) compared with traditional rule-based models, while maintaining perfect sensitivity and negative predictive value (both 100% vs 81.7–100% and 92.0–100%, respectively) without any false negatives. …”
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Application of Thyroid Hormones in Women’s Hair for the Non-Invasive Prediction of Graves’ Disease by Kouhei Igarashi, Chie Takita, Masako Matsumoto, Wataru Kitagawa, Atsuko Ota, Naoko Miyazaki, Koichi Ito, Kazutaka Ikeda

“…The cut-off value was 0.133 pg/mg (sensitivity: 91.2%; specificity: 100%; positive predictive value (PPV): 100%; negative predictive value (NPV): 76.9%) for FT3 and 0.067 pg/mg (sensitivity: 70.6%; specificity: 100%; PPV: 100%; NPV: 50.0%) for FT4. …”
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Validation of the EVendo score for assessing high-risk varices in Western European patients with cirrhosis by Julian Müller-Kühnle, Christian Benignus, Severin Schricker, Moritz Schanz, Julia Todoroff, Jörg Latus, Wolfram Zoller, Dominik Marschner

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed for EVendo score cutoffs of ≤ 3.9, ≤ 4.5, and a cohort-optimized cutoff of ≤ 4.3. …”
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Analysis of the effect of fecal SDC2, ADHFE1 and PPP2R5C gene methylation test for screening colorectal cancer in the Otog Front Banner by Fan Zeng, Shiiu Chen, Xuli Zhu, Jinrun Chen, Maochong Lan, Runxiang Chen, Daya Zhang, Chen Chen, Shimei Huang, Da Li, Xiaodong Zhang, Feihu Bai

“…The chi-square test was utilized to analyze the positive rates of fecal SDC2, ADHFE1, and PPP2R5C gene methylation screenings, colonoscopy compliance, the positive predictive value of intestinal lesions, and to assess the risk factors associated with cancer. …”
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Diagnostic utility of auramine O smear microscopy for detecting non-tuberculous mycobacteria versus Mycobacterium tuberculosis complex in adult clinical samples: a 5-year retrospec... by Nadia Atiya, Leong Tung Ong, Thian Chee Loh, Chee Kuan Wong, Azwani Abdullah

“…Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) with 95% confidence intervals (CI) were calculated using Open Epi Version 3.01. …”
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The validity of a new resilience scale: the Japan Resilience Scale (J-RS) for mothers with a focus on cultural aspects by Mariko Takeuchi, Michiko Matsunaga, Akimitsu Miyake, Ryuichiro Egashira, Sayaka Hotta, Mai Nakano, Misaki Moriguchi, Fumihiko Yasuno, Masako Myowa, Keisuke Hagihara

“…At a cutoff of 59/60, sensitivity, specificity, positive predictive value, and negative predictive value were 84.1%, 63.9%, 34.6%, and 94.7% respectively. …”
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Evaluating the diagnostic performance of adult sepsis event criteria in the emergency department: impact of including isolated serum lactate elevations by Hyojun Park, Ryoung-Eun Ko, Hyo-Seok Oh, Jae Young Moon, Youjin Chang, Gee Young Suh

“…Diagnostic performance was assessed using sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). …”
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Predicting survival in bladder cancer with a novel apoptotic gene-related prognostic model by Ding-ming Song, Kun Feng, Wen-fei Luo, Dong-shan Lv, Li-po Zhou, Yi-bo He, Yanyang Jin

“…Nomogram variables, prompted from ARGM and clinical parameters, also generate a high predictive value for patient survival. Conclusion Ourestablished apoptosis-related gene model (ARGM) has a substantial predictive value for prognosis and immunotherapy of bladder cancer. …”
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Clinical utility of artificial intelligence–augmented endobronchial ultrasound elastography in lymph node staging for lung cancerCentral MessagePerspective by Yogita S. Patel, BSc, Anthony A. Gatti, PhD, Forough Farrokhyar, MPhil, PhD, Feng Xie, PhD, Waël C. Hanna, MDCM, MBA

“…NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883). …”
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The value of ultrasonographic scoring method and nomogram in assessing cervical lymph node metastasis of papillary thyroid carcinoma by Liping Chen, Yan Chen, Zhengming Hu, Huali Cai, Xiaona Lin, Jieyu Zhong, Desheng Sun

“…A score of 3 or higher had a diagnostic sensitivity for CLNM of 81.1%, specificity of 85.2%, positive predictive value (PPV) of 83.1%, negative predictive value (NPV) of 83.4%, and Kappa value of 0.664. …”
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