Articles with "predicting survival" as a keyword



Predicting survival in cancer patients with and without 30‐day readmission of an unplanned hospitalization using a deficit accumulation approach

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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. read more here.

Keywords: unplanned hospitalization; using deficit; predicting survival; cancer ... See more keywords

Predicting survival after Impella implantation in patients with cardiogenic shock: The J‐PVAD risk score

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Published in 2024 at "European Journal of Heart Failure"

DOI: 10.1002/ejhf.3471

Abstract: Impella has become a new option for mechanical circulatory support in patients with cardiogenic shock (CS); however, prognostic models for patients after Impella are lacking. We aimed to identify the factors that predict in‐hospital mortality… read more here.

Keywords: impella; predicting survival; risk; cardiogenic shock ... See more keywords
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A nomogram for predicting survival and retroperitoneal lymph node dissection treatment in patients with resected testicular germ cell tumors

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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. read more here.

Keywords: testicular germ; cell tumors; predicting survival; germ cell ... See more keywords

Development of a novel model for predicting survival of patients with spine metastasis from colorectal cancer

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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… read more here.

Keywords: metastasis colorectal; patients spine; colorectal cancer; survival patients ... See more keywords

Genes predicting survival of chordoma patients.

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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… read more here.

Keywords: chordoma patients; free survival; predicting survival; genes predicting ... See more keywords

Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-65367-9

Abstract: Medulloblastoma is a malignant neuroepithelial tumor of the central nervous system. Accurate prediction of prognosis is essential for therapeutic decisions in medulloblastoma patients. We analyzed data from 2,322 medulloblastoma patients using the SEER database and… read more here.

Keywords: epidemiology; deep learning; learning models; predicting survival ... See more keywords

O14: RANDOM FOREST MODELS FOR PREDICTING SURVIVAL AFTER OESOPHAGECTOMY

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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… read more here.

Keywords: model; predicting survival; random forest; survival oesophagectomy ... See more keywords

Deep Survival Analysis With Clinical Variables for COVID-19

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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… read more here.

Keywords: survival analysis; clinical variables; predicting survival; model ... See more keywords

TES and SLC40A1 as Potential Biomarkers for Predicting Survival in T-Cell Acute Lymphoblastic Leukemia

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Published in 2024 at "Acta Haematologica"

DOI: 10.1159/000539435

Abstract: Abstract Introduction: Identifying patients with high-risk T-cell acute lymphoblastic leukemia (T-ALL) is crucial for personalized therapy; however, the lack of robust biomarkers hinders prognosis assessment. To address this issue, our study aimed to screen and… read more here.

Keywords: predicting survival; acute lymphoblastic; lymphoblastic leukemia; cell acute ... See more keywords
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Abstract 329: Predicting Survival from Out-of-hospital Cardiac Arrest

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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... read more here.

Keywords: 329 predicting; cardiac arrest; arrest; predicting survival ... See more keywords

Different chest CT scoring systems in patients with COVID-19: could baseline CT be a helpful tool in predicting survival in patients with matched ages and co-morbid conditions?

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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… read more here.

Keywords: scoring systems; severity score; covid; predicting survival ... See more keywords