AIMC Topic: Life Expectancy

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Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
High-grade glioma (HGG) is a lethal cancer, which is characterized by very poor prognosis. To help optimize treatment strategy, accurate preoperative prediction of HGG patient's outcome (i.e., survival time) is of great clinical value. However, there...
Reproducibility of Results Algorithms Sensitivity and Specificity Connectome Brain Treatment Outcome Retrospective Studies Diffusion Tensor Imaging Glioma Brain Neoplasms Humans Magnetic Resonance Imaging Life Expectancy Neoplasm Grading Machine Learning
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3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
High-grade glioma is the most aggressive and severe brain tumor that leads to death of almost 50% patients in 1-2 years. Thus, accurate prognosis for glioma patients would provide essential guidelines for their treatment planning. Conventional surviv...
Multimodal Imaging Prognosis Neoplasm Grading Reproducibility of Results Life Expectancy Glioma Brain Neoplasms Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Algorithms Sensitivity and Specificity Brain Humans
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Age stratified comparative analysis of perioperative, functional and oncologic outcomes in patients after robot assisted radical prostatectomy--A propensity score matched study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 25, 2015
INTRODUCTION AND OBJECTIVES: Our goal was to evaluate the perioperative, functional and intermediate term oncological outcomes of robot assisted radical prostatectomy (RARP) in patients ≥ 70 years.
Propensity Score Prostatectomy Perioperative Period Life Expectancy Erectile Dysfunction Robotics Follow-Up Studies Prostatic Neoplasms Male Recovery of Function Neoplasm Staging Urinary Incontinence Middle Aged Humans Treatment Outcome Aged
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Automated model versus treating physician for predicting survival time of patients with metastatic cancer.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Being able to predict a patient's life expectancy can help doctors and patients prioritize treatments and supportive care. For predicting life expectancy, physicians have been shown to outperform traditional models that use only a few pred...
Male Middle Aged Neoplasms Female Aged Kaplan-Meier Estimate Life Expectancy Area Under Curve Humans Radiation Oncologists Neoplasm Metastasis Prognosis Machine Learning ROC Curve Electronic Health Records
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Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer.

JAMA oncology Nov 1, 2020
IMPORTANCE: Machine learning (ML) algorithms can identify patients with cancer at risk of short-term mortality to inform treatment and advance care planning. However, no ML mortality risk prediction algorithm has been prospectively validated in oncol...
Humans Prognosis Retrospective Studies Female Machine Learning Prospective Studies Life Expectancy Aged Cohort Studies Neoplasms Middle Aged Outpatients
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Overachieving Municipalities in Public Health: A Machine-learning Approach.

Epidemiology (Cambridge, Mass.) Nov 1, 2018
BACKGROUND: Identifying successful public health ideas and practices is a difficult challenge towing to the presence of complex baseline characteristics that can affect health outcomes. We propose the use of machine learning algorithms to predict lif...
Public Health Practice Life Expectancy Public Health Cities Humans Machine Learning Aged Brazil Algorithms
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