AIMC Topic: Survival Analysis

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A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning-Based Risk Prediction Models.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Dec 22, 2021
OBJECTIVES: We propose a framework of health outcomes modeling with dynamic decision making and real-world data (RWD) to evaluate the potential utility of novel risk prediction models in clinical practice. Lung transplant (LTx) referral decisions in ...
Referral and Consultation Tissue and Organ Procurement Humans Survival Analysis Machine Learning Outcome Assessment, Health Care Risk Assessment Research Design Data Collection Longitudinal Studies Cystic Fibrosis Forced Expiratory Volume Lung Transplantation
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Survival analysis with semi-supervised predictive clustering trees.

Computers in biology and medicine Nov 3, 2021
Many clinical studies follow patients over time and record the time until the occurrence of an event of interest (e.g., recovery, death, …). When patients drop out of the study or when their event did not happen before the study ended, the collected ...
Cluster Analysis Humans Supervised Machine Learning Survival Analysis Multivariate Analysis
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Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer.

Radiology Oct 26, 2021
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non-small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metastasis prediction and prognosis stratification in clinic...
Humans Prospective Studies Prognosis Cohort Studies Lung Neoplasms Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Male Neoplasm Staging Middle Aged Survival Analysis Retrospective Studies Risk Assessment Neoplasms, Second Primary Female Deep Learning Reproducibility of Results Biomarkers, Tumor
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Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms.

Breast cancer research : BCR Oct 10, 2021
BACKGROUND: Transcriptome sequencing has been broadly available in clinical studies. However, it remains a challenge to utilize these data effectively for clinical applications due to the high dimension of the data and the highly correlated expressio...
Breast Neoplasms Biomarkers, Tumor Transcriptome Databases, Genetic Neural Networks, Computer Algorithms Female Reproducibility of Results Survival Analysis Image Interpretation, Computer-Assisted Ki-67 Antigen Humans
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Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art.

Computational and mathematical methods in medicine Sep 30, 2021
Cancer early detection increases the chances of survival. Some cancer types, like pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast progression rate. This paper presents the state-of-the-art techniques used in...
Deep Learning Surveys and Questionnaires Computational Biology Support Vector Machine Machine Learning Early Detection of Cancer Humans Algorithms Pancreatic Neoplasms Neural Networks, Computer Prognosis Carcinoma, Pancreatic Ductal Survival Rate Survival Analysis
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Extended robot-assisted laparoscopic prostatectomy and extended pelvic lymph node dissection as a monotherapy in patients with very high-risk prostate cancer Patients.

Cancer medicine Sep 25, 2021
BACKGROUND: Patients with very-high-risk prostate cancer (VHRPCa) have earlier biochemical recurrences (BCRs) and higher mortality rates. It remains unknown whether extended robot-assisted laparoscopic prostatectomy (eRALP) without neoadjuvant or adj...
Prostatectomy Prostatic Neoplasms Laparoscopy Pelvis Survival Analysis Aged Male Lymph Node Excision Humans Robotics Retrospective Studies Risk Factors
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Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.

Scientific reports Sep 23, 2021
Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of indiv...
Child Image Processing, Computer-Assisted Bayes Theorem Neoplasm Grading Risk Assessment Infant Adolescent Child, Preschool Diffusion Magnetic Resonance Imaging Biopsy Survival Analysis Kaplan-Meier Estimate Magnetic Resonance Angiography Humans Machine Learning Brain Female Infant, Newborn Brain Neoplasms Male
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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
Models, Cardiovascular Humans Out-of-Hospital Cardiac Arrest Machine Learning Algorithms Brain ROC Curve Female Predictive Value of Tests Aged Area Under Curve Sensitivity and Specificity Survival Analysis Male
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Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study.

PloS one Sep 15, 2021
BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. Epidemiologists should understand how ML algorithms behave within the context of outbreak data where missingness of data is almost ubiquitous.
Models, Statistical Data Interpretation, Statistical Survival Analysis Datasets as Topic Hemorrhagic Fever, Ebola Machine Learning Research Design Humans Computer Simulation Disease Outbreaks
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A Hybrid Method to Predict Postoperative Survival of Lung Cancer Using Improved SMOTE and Adaptive SVM.

Computational and mathematical methods in medicine Sep 10, 2021
Predicting postoperative survival of lung cancer patients (LCPs) is an important problem of medical decision-making. However, the imbalanced distribution of patient survival in the dataset increases the difficulty of prediction. Although the syntheti...
Humans Algorithms Databases, Factual Lung Neoplasms Computational Biology Support Vector Machine Fuzzy Logic Survival Analysis Computer Heuristics
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