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Survival Rate

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Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.

The Annals of thoracic surgery Nov 7, 2019
BACKGROUND: This study evaluated the predictive utility of a machine learning algorithm in estimating operative mortality risk in cardiac surgery.
ROC Curve Cardiac Surgical Procedures Pennsylvania Humans Machine Learning Algorithms Prognosis Retrospective Studies Female Risk Factors Aged Survival Rate Male Risk Assessment
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Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines.

Annals of surgical oncology Nov 6, 2019
BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular carcinoma (HCC) beyond the Barcelona Clinic Liver Cancer (BCLC) guidelines. We sought to determine the factors that held the most prognostic weight in th...
Retrospective Studies Female Aged Survival Rate Biomarkers, Tumor Humans Machine Learning Follow-Up Studies Neoplasm Staging Tumor Burden Practice Guidelines as Topic Hepatectomy Preoperative Care Male Middle Aged Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular
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An ensemble learning approach for brain cancer detection exploiting radiomic features.

Computer methods and programs in biomedicine Oct 22, 2019
BACKGROUND AND OBJECTIVE: The brain cancer is one of the most aggressive tumour: the 70% of the patients diagnosed with this malignant cancer will not survive. Early detection of brain tumours can be fundamental to increase survival rates. The brain ...
Humans Machine Learning Survival Rate Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Early Detection of Cancer
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Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Neoplasm Staging Radiotherapy Dosage Radiosurgery Cardiotoxicity Carcinoma, Squamous Cell Humans Aged Neural Networks, Computer Aged, 80 and over Retrospective Studies Survival Rate Female Male
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Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 21, 2019
PURPOSE: Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural netwo...
Risk Factors Aged Aged, 80 and over Young Adult Staining and Labeling Adult Neural Networks, Computer Follow-Up Studies Survival Rate Algorithms Area Under Curve Humans Male Retrospective Studies Biopsy Middle Aged Female Disease Progression Neoplasm Recurrence, Local Melanoma Deep Learning Image Processing, Computer-Assisted
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A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.

European radiology experimental Oct 17, 2019
BACKGROUND: To develop a supervised machine learning (ML) algorithm predicting above- versus below-median overall survival (OS) from diffusion-weighted imaging-derived radiomic features in patients with pancreatic ductal adenocarcinoma (PDAC).
Pancreatic Neoplasms Predictive Value of Tests Carcinoma, Pancreatic Ductal Preoperative Period Diffusion Magnetic Resonance Imaging Humans Machine Learning Retrospective Studies Survival Rate Models, Theoretical
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Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction.

JACC. Heart failure Oct 9, 2019
OBJECTIVES: This study sought to develop models for predicting mortality and heart failure (HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with...
Risk Assessment Brazil ROC Curve Canada United States Aged Survival Rate Male Stroke Volume Middle Aged Health Status Double-Blind Method Heart Failure Argentina Humans Machine Learning Prognosis Female Risk Factors Hospitalization
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A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PloS one Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Leucovorin Oxaliplatin Survival Rate Pancreatic Neoplasms Humans Sensitivity and Specificity Disease-Free Survival Neoplasm Proteins Machine Learning Male Deoxycytidine Fluorouracil Retrospective Studies Middle Aged Gemcitabine Carcinoma, Pancreatic Ductal Antineoplastic Combined Chemotherapy Protocols Female Irinotecan Adult Keratins, Hair-Specific Keratins, Type II
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A novel machine-learning-derived genetic score correlates with measurable residual disease and is highly predictive of outcome in acute myeloid leukemia with mutated NPM1.

Blood cancer journal Oct 1, 2019
Machine Learning Algorithms Aged Aged, 80 and over Young Adult Adult Humans Mutation High-Throughput Nucleotide Sequencing Neoplasm, Residual Survival Rate Genes, Neoplasm Leukemia, Myeloid, Acute Nucleophosmin Middle Aged Adolescent Nuclear Proteins
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A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.

BMC cancer Sep 5, 2019
BACKGROUND: Predicting lung adenocarcinoma (LUAD) risk is crucial in determining further treatment strategies. Molecular biomarkers may improve risk stratification for LUAD.
Adenocarcinoma of Lung Aged Survival Rate Biomarkers, Tumor Male Middle Aged Databases, Genetic Humans Disease-Free Survival Machine Learning Proportional Hazards Models Disease Progression Prognosis Multivariate Analysis Transcriptome Female Kaplan-Meier Estimate Lung Neoplasms Genes, Neoplasm Gene Expression Regulation, Neoplastic Follow-Up Studies
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