A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort study by Louisa Jorm, Daniel Moses, Dona Adikari, Ramtin Gharleghi, Shisheng Zhang, Arcot Sowmya, Sze-Yuan Ooi, Susann Beier

“…We propose a new risk prediction method predicated on CT coronary angiography (CTCA) data and state-of-the-art machine learning methods based on a better understanding of anatomical risk for CAD. …”
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Corrigendum to “Explicitly encoding the cyclic nature of breathing signal allows for accurate breathing motion prediction in radiotherapy with minimal training data” [Phys.... by Andreas Renner, Ingo Gulyas, Martin Buschmann, Gerd Heilemann, Barbara Knäusl, Martin Heilmann, Joachim Widder, Dietmar Georg, Petra Trnková

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Development and validation of a clinical prediction model of acute kidney injury in intensive care unit patients at a rural tertiary teaching hospital in South Africa: a study protocol by Olanrewaju Oladimeji, Constance Sewani-Rusike, Busisiwe Mrara, Fathima Paruk

“…The development and validation of a predictive tool incorporating clinical, biochemical and imaging parameters, as well as quantification of their impact on the development of AKI, should make timely and improved prediction of AKI possible. …”
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A new prognostic model for predicting overall survival and progression-free survival in unresectable hepatocellular carcinoma treated with the FOLFOX-HAIC regimen based on patient clinical characteristics and blood biomarkers by Qiuyao Zeng, Zehong Zhou, Ji Zhang, Rongzeng Cai, Hongwei Yang, Pengfei Chen, Linfang Li

“…We divided the patients into a training cohort and a validation cohort, used LASSO regression construct prognostic models, predict patient’s OS and PFS based on nomograms of models. …”
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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA199 by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

“…We used short-term and long-term treatment efficacy as the prediction outcomes and performed statistical and machine learning-based feature selection and COX regression analysis to identify potentially predictive features. …”
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Prediction of subsequent vertebral fracture after percutaneous vertebral augmentation using MRI-based vertebral bone quality and CT-based Hounsfield units: a retrospective cross-sectional study by Youdi Xue, Kun Shi, Weixiang Dai, Chao Ma, Jie Li

“…The primary objective of this study is to compare the predictive capabilities of HU and VBQ for SVF, and to clarify the impact of hyperlipidemia on the predictive abilities. …”
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Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffeine contentMendeley Data by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…This dataset provides a basis for further research, enabling the integration of mid-infrared spectral data with HPLC (as a standard) to fine-tune machine learning and deep learning models that could be used to simultaneously predict the theobromine and caffeine content, as well as cocoa variety in both dried and roasted cocoa samples using a non-destructive approach based on spectral data. …”
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Prediction of long-term drug-free outcomes in ACPA-positive and ACPA-negative rheumatoid arthritis by combined clinical and ultrasound assessment of residual disease: a 5-year prospective study by Carlomaurizio Montecucco, Garifallia Sakellariou, Claudia Alpini, Catherine Klersy, Serena Bugatti, Ludovico De Stefano, Emanuele Bozzalla Cassione, Antonio Manzo, Blerina Xoxi, Terenzj Luvaro, Ylenia Sammali

“…Pre-selected clinical, serological and ultrasound (US) exposure variables at MTX withdrawal were analysed using multivariable Cox regression to predict time-to-flare.Results Of 761 EAC patients with RA, 132 started DF follow-up (person-months: 3678). 62 experienced a flare after a median (range) of 9 (3–60) months, resulting in a progressive decline in flare-free survival throughout the observation period. …”
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Development of Novel Nomograms to Predict 5- and 7-Year Biochemical-Recurrence-Free Survival in High-Risk Prostate Cancer Patients After Carbon-Ion Radiotherapy and Androgen Deprivation Therapy by Takanobu Utsumi, Hiroyoshi Suzuki, Masaru Wakatsuki, Kana Kobayashi, Atsushi Okato, Mio Nakajima, Shuri Aoki, Taisuke Sumiya, Tomohiko Ichikawa, Koichiro Akakura, Hiroshi Tsuji, Shigeru Yamada, Hitoshi Ishikawa

“…The ability of each nomogram to predict BCR-free survival was determined by calculating the area under the survival curve (AUC). …”
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The Prechtl’s General Movement Assessment, Hammersmith Infant Neurological Examination and Sensory Profile-2 in Prediction of Cerebral Palsy at Two Years of Age in High-risk Infants: A Retrospective Study by Hatice ADIGÜZEL, Halil İbrahim ÇELİK, Yusuf Ünal SARIKABADAYI, Nevin ERGUN, Bülent ELBASAN

“…The GMA, HINE, and ISP-2’s predictive values were assessed seperately and sequentially (with two and three stage testings). …”
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Beating-Heart Coronary Artery Bypass grafting (BH-CABG) in patients with End-Stage Renal Disease (ESRD): comparison of the Society of Thoracic Surgeons (STS) predicted risk with actual outcomes by Louis Samuels, Anastasia Arce, Samiat Agunbiade, Suzanne Raws, Afshin Parsikia

“…There was 1 hospital mortality (1.8%) compared to a predicted 6.2%. There was 1 stroke (1.8%) compared to a predicted 3.3%. …”
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Comparison of Injury Severity Score, Glasgow Coma Scale, and Revised Trauma Score in Predicting the Mortality and Prolonged ICU Stay of Traumatic Young Children: A Cross-Sectional Retrospective Study by Yii-Ting Huang, Ying-Hsien Huang, Ching-Hua Hsieh, Chao-Jui Li, I-Min Chiu

“…Of these scoring systems, ISS was the best at predicting mortality.…”
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The incremental value of aspartate aminotransferase/alanine aminotransferase ratio combined with CURB-65 in predicting treatment outcomes in hospitalized adult community-acquired pneumonia patients with type 2 diabetes mellitus by Huamei Zhou, Xuelei Zhu, Yi Zhang, Wenjuan Xu, Shiqun Li

“…An AST/ALT ratio of ≥ 1.625 conferred a 74% post-test probability of poor treatment outcome, while < 1.625 predicted 21%. AST/ALT also predicted outcomes for all the CAP patients enrolled (OR = 1.771, 95% CI, 1.231–2.549, p = 0.002). …”
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Postoperative blood glucose increase can predict all-cause mortality within 3 months after successful interventional recanalization in patients with acute large vessel occlusion cerebral infarction by Wensheng Zhang, Yajie Liu, Hongxing Zhou, Jie Li, Weifang Xing, Kaifeng Li, Yudi Li, Xiongjun He, Li Ling, Jinzhao He

“…Abstract Aims To evaluate whether postoperative blood glucose increase (BGI) can serve as a predictive indicator for all-cause mortality within 3 months in patients with acute cerebral infarction with large vessel occlusion. …”
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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

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Risk Estimation of Severe Primary Graft Dysfunction in Heart Transplant Recipients Using a Smartphone by Souhila Ait-Tigrine, Roger Hullin, Elsa Hoti, Matthias Kirsch, Piergiorgio Tozzi

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Method for Determining the Model Order for Model Order Reduction of the Linear Parameter Varying Heat Conduction Model using the Monte Carlo Method by Akiyasu MIYAMOTO

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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

Subjects: “…Pipeline defect prediction…”
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Storage and permeation space development characteristics and water production capacity evaluation of deep coal reservoirs in Linxing-Shenfu area of Ordos Basin by Jinwei WANG, Hao XU, Yinan LIU, Bing ZHANG, Yanyong XU, Ding LIU, Peng ZONG, Yajuan WANG, Xuejing SONG

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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

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