AIMC Topic: Bone Neoplasms

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Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.

Oncotarget Mar 15, 2016
The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictiv...
Humans Female Aged Adult Male Middle Aged Logistic Models Support Vector Machine Bone Neoplasms Decision Trees Bone Diseases
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Deploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation.

IET systems biology Dec 1, 2015
This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identi...
Humans Artificial Intelligence Brain Tomography, X-Ray Computed Female Brain Neoplasms Male Image Processing, Computer-Assisted Calcinosis Bone Neoplasms Neoplasm Metastasis
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Prognostic Risk Factors Associated with Recurrence and Metastasis After Radical Resection in Patients with Hepatolithiasis Complicated by Intrahepatic Cholangiocarcinoma.

Cell biochemistry and biophysics Nov 1, 2015
The objective of this study was to analyze the predictive significance of different prognostic factors associated with recurrence and metastasis after the radical resection in patients with hepatolithiasis complicated by intrahepatic cholangiocarcino...
Humans Prognosis Retrospective Studies Female Risk Factors Aged Survival Rate Male Middle Aged Liver Neoplasms Lung Neoplasms Follow-Up Studies Lymphatic Metastasis Bone Neoplasms Neoplasm Staging Neoplasm Recurrence, Local Bile Duct Neoplasms Liver Diseases Antigens, Tumor-Associated, Carbohydrate Cholangiocarcinoma Lithiasis
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