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The current research status on building prediction models for rectal cancer based on imaging data using artificial intelligence

结直肠肛门外科, 2023
［Abstract］ The advancement of artificial intelligence (AI) has opened new avenues for the clinical application of imaging data. Building prediction models based on imaging data can offer valuable insights for clinical diagnosis and treatment. The imaging
Zhang Tianshuai, Peng Zhiying, Jia Hang, Wen Rongbo, Zhou Leqi, Shen Fu, Yu Guanyu, Zhang Wei   +7 more
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四川和云南地区场地平均剪切波速vS20和vS30经验预测模型研究

Dizhen xuebao, 2021
利用四川和云南地区共973个工程场地钻孔资料，分别基于常速度外推模型、对数线性模型和条件独立模型的经验外推方法建立了该区域20 m和30 m平均剪切波速vS20和vS30的经验预测模型。研究表明常速度外推模型的预测误差最大，当波速资料深度小于10 m时，常速度外推方法会显著低估实际场地平均波速。基于对数线性外推方法建立了四川和云南地区波速经验预测模型，对比结果表明四川和云南地区平均波速预测结果与北京和加州地区较接近，明显低于日本地区 ...
Lin Jia, Junju Xie, Xiaojun Li, Zengping Wen, Wenbin Chen, Jian Zhou   +5 more
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Clinical prediction models [PDF]

Child's Nervous System, 2020
_Dear Editor:_ The number of articles presenting a neurosurgical prediction model is rapidly increasing. Although the number of publications reporting a clinical prediction model in _Child’s Nervous System, Journal of Neurosurgery Pediatrics_, and _Pediatric Neurosurgery_ is relatively constant over the years (Fig.
Mijderwijk, HJ, Beez, T, Hänggi, D, Nieboer, Daan   +3 more
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Estimation of dialysis patients’ survival through combined approach of small molecule uremic markers; pp. 315–321 [PDF]

Proceedings of the Estonian Academy of Sciences, 2014
Survival rate of dialysis patients is still alarmingly low and various factors may have in it an important role. The purpose of this study was to observe the relationship between the survival of dialysis patients and the serum level of urea, creatinine ...
Jana Holmar, Ivo Fridolin, Fredrik Uhlin, Anders Fernström, Merike Luman   +4 more
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Risk prediction models [PDF]

Nephrology Dialysis Transplantation, 2013
Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors ...
Tripepi G, Heinze G, Jager KJ, Stel VS, Dekker FW, Zoccali C   +5 more
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Development of machine-learning algorithms for 90-day and one-year mortality prediction in the elderly with femoral neck fractures based on the HEALTH and FAITH trials

Bone & Joint Open, 2023
Aims: To develop prediction models using machine-learning (ML) algorithms for 90-day and one-year mortality prediction in femoral neck fracture (FNF) patients aged 50 years or older based on the Hip fracture Evaluation with Alternatives of Total Hip ...
Hidde Dijkstra, Jacobien H. F. Oosterhoff, Anouk van de Kuit, Frank F. A. IJpma, Joseph H. Schwab, Rudolf W. Poolman, Sheila Sprague, Sofia Bzovsky, Mohit Bhandari, Marc Swiontkowski, Emil H. Schemitsch, Job N. Doornberg, Laurent A. M. Hendrickx, On behalf of the Machine Learning Consortium, the HEALTH Investigators, and the FAITH Investigators   +15 more
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The Trend of Risk for Cardiovascular Diseases During the Past Decade in Iran, Applying No-Lab and Lab-Based Prediction Models

Global Heart, 2023
Background: As a surrogate for all relevant risk factors, it is preferable to show trends in the mean cardiovascular disease(CVD) risk rather than to examine each risk factor trend separately.
Noushin Fahimfar, Karim Kohansal, Samaneh Asgari, Afshin Ostovar, Farzad Hadaegh, Davood Khalili   +5 more
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Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine

Frontiers in Psychiatry, 2020
BackgroundA large proportion of major depressive patients will experience recurring episodes. Many patients still do not response to available antidepressants.
Huijie Zhang, Xianglu Li, Jianyue Pang, Xiaofeng Zhao, Suxia Cao, Xinyou Wang, Xingbang Wang, Hengfen Li   +7 more
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Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study

Frontiers in Immunology, 2021
BackgroundPrediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality.ObjectiveTo study the prognostic value of damage parameters and cytokines as predictors of severity of COVID-19 ...
Olga Krysko, Elena Kondakova, Olga Vershinina, Elena Galova, Anna Blagonravova, Ekaterina Gorshkova, Claus Bachert, Mikhail Ivanchenko, Dmitri V. Krysko, Dmitri V. Krysko, Dmitri V. Krysko, Dmitri V. Krysko, Maria Vedunova   +12 more
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SARS-CoV-2 rapid antigen testing in the healthcare sector: A clinical prediction model for identifying false negative results

International Journal of Infectious Diseases, 2021
Objectives: SARS-CoV-2 rapid antigen tests (RAT) provide fast identification of infectious patients when RT-PCR results are not immediately available. We aimed to develop a prediction model for identification of false negative (FN) RAT results.
Johannes Leiner, MD, Vincent Pellissier, PhD, Anne Nitsche, PhD, Sebastian König, MD, Sven Hohenstein, PhD, Irit Nachtigall, MD, Gerhard Hindricks, MD, Christoph Kutschker, MD, Boris Rolinski, MD, Julian Gebauer, MD, Anja Prantz, MD, Joerg Schubert, MDPhD, Joerg Patzschke, MD, Andreas Bollmann, MDPhD, Martin Wolz, MD   +14 more
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