AIMC Topic: Survival Rate

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Machine learning in personalized laryngeal cancer management: insights into clinical characteristics, therapeutic options, and survival predictions.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Dec 23, 2024
PURPOSE: Over the last 40 years, there has been an unusual trend where, even though there are more varied treatments, survival rates have not improved much. Our study used survival analysis and machine learning (ML) to investigate this odd situation ...
Male Middle Aged United States Neoplasm Staging Prognosis SEER Program Female Laryngeal Neoplasms Aged Adult Survival Rate Humans Machine Learning Precision Medicine
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Novel models based on machine learning to predict the prognosis of metaplastic breast cancer.

Breast (Edinburgh, Scotland) Dec 11, 2024
BACKGROUND: Metaplastic breast cancer (MBC) is a rare and highly aggressive histological subtype of breast cancer. There remains a significant lack of precise predictive models available for use in clinical practice.
Breast Neoplasms Humans Female Machine Learning Middle Aged Mastectomy, Segmental Prognosis Aged Neoplasm Staging Metaplasia Adult SEER Program Survival Rate Radiotherapy, Adjuvant
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Machine learning in predicting heart failure survival: a review of current models and future prospects.

Heart failure reviews Dec 10, 2024
Heart failure is a complex and prevalent condition with significant implications for patient management and survival prediction. Traditional predictive models often fall short in accuracy due to their reliance on pre-specified predictors and assumpti...
Algorithms Prognosis Survival Rate Risk Assessment Heart Failure Humans Machine Learning
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The G Protein-Coupled Receptor-Related Gene Signatures for Diagnosis and Prognosis in Glioblastoma: A Deep Learning Model Using RNA-Seq Data.

Asian Pacific journal of cancer prevention : APJCP Dec 1, 2024
BACKGROUND: Glioblastoma (GBM) is the most aggressive cancer in the central nervous system in glial cells. Finding novel biomarkers in GBM offers numerous advantages that can contribute to early detection, personalized treatment, improved patient out...
Humans Prognosis Female Survival Rate Biomarkers, Tumor Transcriptome Deep Learning RNA-Seq Gene Expression Regulation, Neoplastic Receptors, G-Protein-Coupled Brain Neoplasms Male Middle Aged Gene Expression Profiling Glioblastoma
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Analysis of the Predictors of Mortality from Ischemic Heart Diseases in the Southern Region of Brazil: A Geographic Machine-Learning-Based Study.

Global heart Nov 27, 2024
BACKGROUND: Mortality due to ischemic heart disease (IHD) is heterogeneously distributed globally, and identifying the sites most affected by it is essential in developing strategies to mitigate the impact of the disease, despite the complexity resul...
Male Risk Factors Aged Middle Aged Humans Adult Brazil Machine Learning Survival Rate Myocardial Ischemia Retrospective Studies Female
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American College of Surgeons survival calculator for biliary tract cancers: using machine learning to individualize predictions.

Surgery Nov 26, 2024
BACKGROUND: Although cancer prognosis is most commonly estimated by tumor stage, survival is multifactorial. Our objective was to develop an American College of Surgeons "Biliary Tract Cancer Survival Calculator" prototype using machine learning to g...
Male Middle Aged Humans United States Female Neoplasm Staging Machine Learning Biliary Tract Neoplasms Aged Databases, Factual Aged, 80 and over Prognosis Survival Rate Retrospective Studies
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Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress.

BMC cancer Nov 21, 2024
BACKGROUND: Oxidative stress process plays a key role in aging and cancer; however, currently, there is paucity of machine-learning model studies investigating the relationship between oxidative stress and prognosis of elderly patients with esophagea...
Humans Machine Learning Prognosis Retrospective Studies Female Esophageal Neoplasms Male Aged Esophageal Squamous Cell Carcinoma Oxidative Stress Aged, 80 and over ROC Curve Survival Rate Support Vector Machine Biomarkers, Tumor Decision Trees
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Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

Leukemia research Nov 20, 2024
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), re...
Hematopoietic Stem Cell Transplantation Transplantation, Homologous Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia Child, Preschool Female Child Aged Humans Treatment Outcome Young Adult Machine Learning Follow-Up Studies Adult Prognosis Graft vs Host Disease Survival Rate Retrospective Studies Leukemia, Myeloid, Acute Male Middle Aged Adolescent
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Machine Learning Identifies Clinically Distinct Phenotypes in Patients With Aortic Regurgitation.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Nov 18, 2024
BACKGROUND: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period before symptoms appear. Recent data has suggested the role of novel markers of myocardial overload in assessing onset of decompensation.
Aortic Valve Insufficiency Male Echocardiography Middle Aged Severity of Illness Index Humans Machine Learning Phenotype Retrospective Studies Female Aged Survival Rate
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Random survival forest algorithm for risk stratification and survival prediction in gastric neuroendocrine neoplasms.

Scientific reports Nov 6, 2024
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival rates and risk stratification for patients with gastric neuroendocrine neoplasms (gNENs) after diagnosis. Data on patients with gNENs were extracted a...
ROC Curve SEER Program Kaplan-Meier Estimate Neuroendocrine Tumors Prognosis Female Aged Adult Stomach Neoplasms Survival Rate Male Middle Aged Risk Assessment Humans Machine Learning Algorithms
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