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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Oct 01, 2022. (Total: 49787 Documents since 2012)
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Query Trace: all[original query]>>Cancer[Category]
MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.
Haq Amin Ul et al. Journal of ambient intelligence and humanized computing 2022 1-12
Prediction of prognosis and survival of patients with gastric cancer by a weighted improved random forest model: an application of machine learning in medicine.
Xu Cheng et al. Archives of medical science : AMS 2022 18(5) 1208-1220
Improving breast cancer diagnostics with deep learning for MRI.
Witowski Jan et al. Science translational medicine 2022 14(664) eabo4802
LiSNet: An AI-based tool for liver imaging staging of hepatocellular carcinoma aggressiveness.
Sun Shu Wen et al. Medical physics 2022
A Self-Supervised Learning Based Framework for Eyelid Malignant Melanoma Diagnosis in Whole Slide Images.
Jiang Zijing et al. IEEE/ACM transactions on computational biology and bioinformatics 2022 PP
Deep-Learning-Based Real-Time and Automatic Target-to-Background Ratio Calculation in Fluorescence Endoscopy for Cancer Detection and Localization.
Jiang Yang et al. Diagnostics (Basel, Switzerland) 2022 12(9)
On an Affordable Approach towards the Diagnosis and Care for Prostate Cancer Patients Using Urine, FTIR and Prediction Machines.
Nsugbe Ejay et al. Diagnostics (Basel, Switzerland) 2022 12(9)
Cancerous and Non-Cancerous Brain MRI Classification Method Based on Convolutional Neural Network and Log-Polar Transformation.
Jibon Ferdaus Anam et al. Healthcare (Basel, Switzerland) 2022 10(9)
Radiomics Analysis of Lymph Nodes with Esophageal Squamous Cell Carcinoma Based on Deep Learning.
Chen Li et al. Journal of oncology 2022 20228534262
Predicting Overall Survival in Patients with Nonmetastatic Gastric Signet Ring Cell Carcinoma: A Machine Learning Approach.
Li Xiaomei et al. Computational and mathematical methods in medicine 2022 20224862376
Deep Learning for Predicting Distant Metastasis in Patients with Nasopharyngeal Carcinoma Based on Pre-Radiotherapy Magnetic Resonance Imaging.
Hua Hong-Li et al. Combinatorial chemistry & high throughput screening 2022
A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification.
Massafra Raffaella et al. PloS one 2022 17(9) e0274691
Evaluation of cancer outcome assessment using MRI: A review of deep-learning methods.
Mazaheri Yousef et al. BJR open 2022 4(1) 20210072
Diagnosis of hepatocellular carcinoma based on salivary protein glycopatterns and machine learning algorithms.
Tang Zhen et al. Clinical chemistry and laboratory medicine 2022
Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer.
Gresser Eva et al. European urology focus 2022
Breast MRI Tumor Automatic Segmentation and Triple-Negative Breast Cancer Discrimination Algorithm Based on Deep Learning.
Guo Ying-Ying et al. Computational and mathematical methods in medicine 2022 20222541358
Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge.
Yin Liangyu et al. The American journal of clinical nutrition 2022
Thy-Wise: An interpretable machine learning model for the evaluation of thyroid nodules.
Jin Zhe et al. International journal of cancer 2022
An Online Prognostic Application for Melanoma Based on Machine Learning and Statistics.
Liu Wenhui et al. Journal of plastic, reconstructive & aesthetic surgery : JPRAS 2022
Artificial intelligence in lung cancer: Application and future thinking.
Zhao Wei et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2022 47(8) 994-1000
Artificial intelligence diagnosis based on breast ultrasound imaging.
Lan Zihan et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2022 47(8) 1009-1015
Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer.
Kim Young-Gon et al. Cancer research and treatment 2022
Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review
C Mazo et al, J Per Med, September 13, 2022
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia.
Shanbehzadeh Mostafa et al. BMC medical informatics and decision making 2022 22(1) 236
Construction of Pulmonary Nodule CT Radiomics Random Forest Model Based on Artificial Intelligence Software for STAS Evaluation of Stage IA Lung Adenocarcinoma.
Liu Qian et al. Computational and mathematical methods in medicine 2022 20222173412
Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis.
Yan Lizhao et al. Frontiers in oncology 2022 12967758
Prediction of survival in oropharyngeal squamous cell carcinoma using machine learning algorithms: A study based on the surveillance, epidemiology, and end results database.
Kim Su Il et al. Frontiers in oncology 2022 12974678
Lung Cancer Recurrence Risk Prediction through Integrated Deep Learning Evaluation.
Huang Peng et al. Cancers 2022 14(17)
Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai Bing-Li et al. Cancer medicine 2022
Machine learning model for the prediction of prostate cancer in patients with low prostate-specific antigen levels: A multicenter retrospective analysis.
Deng Xiaobin et al. Frontiers in oncology 2022 12985940
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