☆ 4.7 Article

Development and Validation of a Nomogram to Predict Cancer-Specific Survival for Middle-Aged Patients With Early-Stage Hepatocellular Carcinoma

FRONTIERS IN PUBLIC HEALTH (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Identify glomeruli in human kidney tissue images using a deep learning approach

Shubham Shubham et al.

Summary: Healthcare is the most important need in today's era, and the advancement of technology has greatly contributed to the success in the healthcare sector. Deep learning has played a crucial role in the diagnosis and treatment of diseases, such as the identification of glomeruli in the human kidney tissue.

SOFT COMPUTING (2023)

添加到收藏夹

Review Gastroenterology & Hepatology

Racial and Ethnic Disparities in Survival Among Patients With Hepatocellular Carcinoma in the United States: A Systematic Review and Meta-Analysis

Nicole E. Rich et al.

Summary: There are significant racial and ethnic disparities in the prognosis of hepatocellular carcinoma (HCC) in the United States, with black patients having worse overall survival and Hispanic and Asian patients having better overall survival compared with white patients. Interventions are needed to reduce disparities in early HCC detection and improve HCC prognosis.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2022)

添加到收藏夹

Article Oncology

A practical nomogram and risk stratification system predicting the cancer-specific survival for patients with early hepatocellular carcinoma

Bing Yan et al.

Summary: The study aimed to establish and validate a nomogram model for predicting cancer-specific survival in early hepatocellular carcinoma patients. The nomogram showed good accuracy and clinical utility, and a risk stratification system was developed for clinical management.

CANCER MEDICINE (2021)

添加到收藏夹

Article Oncology

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Hyuna Sung et al.

Summary: The global cancer burden in 2020 saw an estimated 19.3 million new cancer cases and almost 10.0 million cancer deaths. Female breast cancer surpassed lung cancer as the most commonly diagnosed cancer, while lung cancer remained the leading cause of cancer death. These trends are expected to rise in 2040, with transitioning countries experiencing a larger increase compared to transitioned countries due to demographic changes and risk factors associated with globalization and a growing economy. Efforts to improve cancer prevention measures and provision of cancer care in transitioning countries will be crucial for global cancer control.

CA-A CANCER JOURNAL FOR CLINICIANS (2021)

添加到收藏夹

Article Public, Environmental & Occupational Health

Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction

R. Lakshmana Kumar et al.

Summary: Detection and prediction of novel Coronavirus present new challenges for the medical research community due to its global spread. Methods driven by Artificial Intelligence, particularly deep learning, have shown effectiveness in predicting specific parameters of the pandemic. Using deep learning reinforcement can optimize the predictive outcome of COVID-19.

FRONTIERS IN PUBLIC HEALTH (2021)

添加到收藏夹

Article Biotechnology & Applied Microbiology

Development and Evaluation of Nomograms to Predict the Cancer-Specific Mortality and Overall Mortality of Patients with Hepatocellular Carcinoma

Xiaofeng Ni et al.

Summary: This study developed and evaluated nomograms for predicting cancer-specific mortality and overall mortality in HCC patients. The nomograms showed good performance in providing personalized risk information to clinicians, aiding in adjusting therapy options for patients.

BIOMED RESEARCH INTERNATIONAL (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model

Ali Akbar Movassagh et al.

Summary: Artificial intelligence techniques, especially artificial neural network (ANN), are widely used in computing for training and evaluation purposes. This study focuses on training ANN using meta-heuristic approaches to enhance the precision of neural networks. The proposed algorithm shows more convergence with neural network coefficient and results in a reduction of prediction error compared to existing algorithms.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

添加到收藏夹

Article Oncology

Prognostic nomogram for hepatocellular carcinoma with radiofrequency ablation: a retrospective cohort study

Zhenhua Lu et al.

Summary: This study identified prognostic factors for hepatocellular carcinoma patients treated with radiofrequency ablation (RFA) and developed nomograms for predicting cancer-specific survival (CSS) and overall survival (OS). The nomograms showed excellent accuracy in predicting outcomes, outperforming the traditional tumor-node-metastasis (TNM) staging system.

BMC CANCER (2021)

添加到收藏夹

Article Mathematical & Computational Biology

Tackling pandemics in smart cities using machine learning architecture

Desire Ngabo et al.

Summary: With the advancement in healthcare analytics and the use of artificial intelligence, the healthcare system is being revolutionized to tackle pandemics in smart cities. AI tools have shown success in various disease areas, including cancer, neurology, and now detecting the novel coronavirus COVID-19. This study presents an AI algorithm that predicts the likely survival rate of COVID-19 suspected patients based on factors like immune system, exercise, and age.

MATHEMATICAL BIOSCIENCES AND ENGINEERING (2021)

添加到收藏夹

Article Oncology

Diagnostic and prognostic nomograms for bone metastasis in hepatocellular carcinoma

Chuan Hu et al.

BMC CANCER (2020)

添加到收藏夹

Review Gastroenterology & Hepatology

2019 Chinese clinical guidelines for the management of hepatocellular carcinoma: updates and insights

Di-Yang Xie et al.

HEPATOBILIARY SURGERY AND NUTRITION (2020)

添加到收藏夹

Article Public, Environmental & Occupational Health

COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm

Celestine Iwendi et al.

FRONTIERS IN PUBLIC HEALTH (2020)

添加到收藏夹

Review Medicine, General & Internal

New advances in the diagnosis and management of hepatocellular carcinoma

Ju Dong Yang et al.

BMJ-BRITISH MEDICAL JOURNAL (2020)

添加到收藏夹

Article Multidisciplinary Sciences

Construction and validation of a nomogram for predicting cancer-specific survival in hepatocellular carcinoma patients

Kang Liu et al.

SCIENTIFIC REPORTS (2020)

添加到收藏夹

Article Oncology

Development and external validation of prognostic nomograms in hepatocellular carcinoma patients: a population based study

Zhiyu Xiao et al.

CANCER MANAGEMENT AND RESEARCH (2019)

添加到收藏夹

Article Oncology

Reduction of Intrahepatic Tumour by Hepatic Arterial Infusion Chemotherapy Prolongs Survival in Hepatocellular Carcinoma

Pil Soo Sung et al.

ANTICANCER RESEARCH (2019)

添加到收藏夹

Article Multidisciplinary Sciences

A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis

Junjie Kong et al.

PLOS ONE (2019)

添加到收藏夹

Article Public, Environmental & Occupational Health

The Changing Epidemiology of Primary Liver Cancer

Jessica L. Petrick et al.

CURRENT EPIDEMIOLOGY REPORTS (2019)

添加到收藏夹

Article Computer Science, Information Systems

Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques

Senthilkumar Mohan et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Oncology

Thermal ablation versus surgical resection for localized hepatocellular carcinoma: a population study using the SEER database

Abigail Mills et al.

FUTURE ONCOLOGY (2018)

添加到收藏夹

Review Radiology, Nuclear Medicine & Medical Imaging

Radiofrequency Ablation versus Hepatic Resection for Small Hepatocellular Carcinoma: Systematic Review of Randomized Controlled Trials with Meta-Analysis and Trial Sequential Analysis

Xiao-Lin Xu et al.

RADIOLOGY (2018)

添加到收藏夹

Article Gastroenterology & Hepatology

The Effect of Marital Status on Survival of Patients with Gastrointestinal Stromal Tumors: A SEER Database Analysis

Wei Song et al.

GASTROENTEROLOGY RESEARCH AND PRACTICE (2018)

添加到收藏夹

Article Oncology

A novel inflammation-based nomogram system to predict survival of patients with hepatocellular carcinoma

Jinbin Chen et al.

CANCER MEDICINE (2018)

添加到收藏夹

Article Gastroenterology & Hepatology

Microvascular invasion of single small hepatocellular carcinoma ≤3 cm: Predictors and optimal treatments

Yo-ichi Yamashita et al.

ANNALS OF GASTROENTEROLOGICAL SURGERY (2018)

添加到收藏夹

Article Surgery

Association of socioeconomics, surgical therapy, and survival of early stage hepatocellular carcinoma

Niek A. Peters et al.

JOURNAL OF SURGICAL RESEARCH (2017)

添加到收藏夹

Article Medicine, General & Internal

Survival prediction model for postoperative hepatocellular carcinoma patients

Zhihui Ren et al.

MEDICINE (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Prognostic value of marital status on stage at diagnosis in hepatocellular carcinoma

Wenjie Zhang et al.

SCIENTIFIC REPORTS (2017)

添加到收藏夹

Article Oncology

Importance of tumor size as a prognostic factor after partial liver resection for solitary hepatocellular carcinoma: Implications on the current AJCC staging system

Brian K. P. Goh et al.

JOURNAL OF SURGICAL ONCOLOGY (2016)

添加到收藏夹

Article Oncology

Nomograms for survival prediction in patients undergoing liver resection for hepatitis B virus related early stage hepatocellular carcinoma

Jun Li et al.

EUROPEAN JOURNAL OF CANCER (2016)

添加到收藏夹

Article Surgery

Surgical Therapy for Early Hepatocellular Carcinoma in the Modern Era A 10-Year SEER-Medicare Analysis

Hari Nathan et al.

ANNALS OF SURGERY (2013)

添加到收藏夹

Article Gastroenterology & Hepatology

Racial differences in survival of hepatocellular carcinoma in the United States: A population-based study

JA Davila et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2006)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.