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Published in 2019 at "Cancer Medicine"
DOI: 10.1002/cam4.2472
Abstract: For cancer patients with an unplanned hospitalization, estimating survival has been limited. We examined factors predicting survival and investigated the concept of using a deficit‐accumulation survival index (DASI) in this population.
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Keywords:
unplanned hospitalization;
using deficit;
predicting survival;
cancer ... See more keywords
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Published in 2019 at "Journal of Surgical Oncology"
DOI: 10.1002/jso.25519
Abstract: To build nomogram incorporating potential prognostic factors for predicting survival outcomes of testicular germ cell tumors (TGCT) patients after resection of the primary tumor.
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Keywords:
testicular germ;
cell tumors;
predicting survival;
germ cell ... See more keywords
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Published in 2019 at "European Spine Journal"
DOI: 10.1007/s00586-019-05879-5
Abstract: AbstractObjectiveTo develop a novel nomogram for predicting survival of patients with spine metastasis from colorectal cancer (SMCRC) based on the clinical characteristics and prognostic factors.MethodsIncluded in this study were 93 SMCRC patients who received treatments…
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Keywords:
metastasis colorectal;
patients spine;
colorectal cancer;
survival patients ... See more keywords
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Published in 2021 at "World neurosurgery"
DOI: 10.1016/j.wneu.2021.09.027
Abstract: PURPOSE A chordoma is a slow-growing, invasive neoplasm in the neuraxis, thought to arise from notochordal cells. At 10-year follow-up, the average survival rate is 50%, though the interindividual prognosis varies substantially. Here, we aim…
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Keywords:
chordoma patients;
free survival;
predicting survival;
genes predicting ... See more keywords
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Published in 2021 at "British Journal of Surgery"
DOI: 10.1093/bjs/znab117.014
Abstract: For patients with oesophageal cancer, producing accurate prediction models for survival after oesophagectomy has proved challenging. We investigated whether Random Survival Forests (RSF), a novel machine learning method, could produce an accurate prognostic model for…
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Keywords:
model;
predicting survival;
random forest;
survival oesophagectomy ... See more keywords
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Published in 2023 at "IEEE Journal of Translational Engineering in Health and Medicine"
DOI: 10.1109/jtehm.2023.3256966
Abstract: Objective: Millions of people have been affected by coronavirus disease 2019 (COVID-19), which has caused millions of deaths around the world. Artificial intelligence (AI) plays an increasing role in all areas of patient care, including…
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Keywords:
survival analysis;
clinical variables;
predicting survival;
model ... See more keywords
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Published in 2020 at "Circulation"
DOI: 10.1161/circ.142.suppl_4.329
Abstract: Introduction: Prognostication is a significant challenge early in the post-cardiac arrest period. Common prognostic factors for neurological survival are unreliable (high false positive rates) unti...
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Keywords:
329 predicting;
cardiac arrest;
arrest;
predicting survival ... See more keywords
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Published in 2021 at "Acta radiologica"
DOI: 10.1177/02841851211006316
Abstract: BACKGROUND Computed tomography (CT) gives an idea about the prognosis in patients with COVID-19 lung infiltration. PURPOSE To evaluate the success rates of various scoring methods utilized in order to predict survival periods, on the…
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Keywords:
scoring systems;
severity score;
covid;
predicting survival ... See more keywords
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Published in 2017 at "Oncotarget"
DOI: 10.18632/oncotarget.16167
Abstract: Background This study aimed to develop nomograms for predicting survival in patients with non-metastatic colorectal cancer (CRC). Results On multivariate analyses of the derivation set, the nomograms for OS and CSS shared common significant prognostic…
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Keywords:
patients non;
survival patients;
predicting survival;
nomograms predicting ... See more keywords
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Published in 2022 at "AntiCancer Research"
DOI: 10.21873/anticanres.15618
Abstract: Background/Aim: A validation of the recently published METSSS model (developed from a large US database) predicting survival after palliative radiotherapy was performed. METSSS includes age, sex, cancer type, localization of distant metastases, comorbidity, and radiotherapy…
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Keywords:
metsss model;
validation;
predicting survival;
model ... See more keywords
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Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.949110
Abstract: Background: Cellular senescence is a typical irreversible form of life stagnation, and recent studies have suggested that long non-coding ribonucleic acids (lncRNA) regulate the occurrence and development of various tumors. In the present study, we…
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Keywords:
signature predicting;
hepatocellular carcinoma;
signature;
predicting survival ... See more keywords