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predicting » prediction (Expand Search), predictive (Expand Search)
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The significance of upright T wave in lead V1 in predicting myocardial ischemia A literature review
Published 2021“…</p><p dir="ltr">Although upright T wave in lead V1 can be a normal variant, it has been linked in a few studies and observations to cardiovascular disease, especially myocardial ischemia.</p><p dir="ltr">In this article, we are trying to highlight the importance of this subtle ECG change in predicting cardiovascular disease through a concise review of the available evidence on this topic.…”
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Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status
Published 2021“…In conclusion, this study has shown for the first time that epigenetic factors contribute to the pathogenesis of PDB and may offer diagnostic markers for prediction of the disease.</p><h2>Other Information</h2><p dir="ltr">Published in: eLife<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.7554/elife.65715" target="_blank">https://dx.doi.org/10.7554/elife.65715</a></p>…”
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Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population
Published 2021“…This is the first study to apply ML-based prediction modeling using the SM to predict CVD in an Arab population. …”
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Hepatitis serology predicts tumor and liver-disease characteristics but not prognosis after resection of hepatocellular carcinoma
Published 2004“…The presence of hepatitis did not significantly affect the survival rate, but hepatic fibrosis and vascular invasion predicted a decreased survival rate. …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
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Identification of a Gene Panel Predictive of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy Employing Transcriptomic and Functional Validation
Published 2022“…<div><p>Triple-negative breast cancer (TNBC) patients exhibiting pathological complete response (pCR) have better clinical outcomes compared to those with residual disease (RD). Therefore, robust biomarkers that can predict pCR may help with triage and resource prioritization in patients with TNBC. …”
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Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Published 2023“…Until further research improve its performance, wearable AI should be used in conjunction with other methods for diagnosing and predicting depression. Further studies are needed to examine the performance of wearable AI based on a combination of wearable device data and neuroimaging data and to distinguish patients with depression from those with other diseases.…”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
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Evolutionary algorithm for protein structure prediction
Published 2010“…The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of proteins. …”
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Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes
Published 2020“…Although machine learning techniques have been applied for disease diagnosis, there is little work done on long term prediction of disease, type 2 diabetes in particular. …”
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Inflammatory Markers and COVID-19 Disease Progression
Published 2023“…All markers, except procalcitonin, demonstrated a significant correlation with disease severity. These results could enhance our understanding of COVID-19 pathogenesis and help predict and manage severe cases.…”
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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Scatter search for protein structure prediction. (c2008)
Published 2008Get full text
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Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases
Published 2010“…Nine patients (6.5%) had inoperable disease that was found intraoperatively. When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
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Oligomeric and phosphorylated alpha-synuclein as potential CSF biomarkers for Parkinson’s disease
Published 2016“…We also assessed the discriminating power of combining multiple CSF α-syn species with classical Alzheimer’s disease biomarkers. The combination of CSF o-/t-α-syn, p-S129-α-syn and p-tau provided the best fitting predictive model for discriminating PD patients from controls. …”
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Transfer learning for genotype–phenotype prediction using deep learning models
Published 2022“…Background For some understudied populations, genotype data is minimal for genotype-phenotype prediction. However, we can use the data of some other large populations to learn about the disease-causing SNPs and use that knowledge for the genotype-phenotype prediction of small populations. …”
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