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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Feb 03, 2023. (Total: 52442 Documents since 2012)
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Performance of statistical and machine learning risk prediction models for surveillance benefits and failures in breast cancer survivors.
Yu-Ru Su et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2023
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.
Ruiyang Wu et al. PloS one 2023 18(1) e0280340
Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications.
Pierpaolo Alongi et al. Current medical imaging 2023
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach.
Himanish Shekhar Das et al. Frontiers in genetics 2023 131097207
Classification Prediction of Breast Cancer Based on Machine Learning.
Hua Chen et al. Computational intelligence and neuroscience 2023 20236530719
Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer.
Park Jung In et al. BMJ health & care informatics 2023 30(1)
Overview of Artificial Intelligence in Breast Cancer Medical Imaging.
Zheng Dan et al. Journal of clinical medicine 2023 12(2)
HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44
Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction.
Nasser Maged et al. Diagnostics (Basel, Switzerland) 2023 13(1)
Adherence to the CDK 4/6 Inhibitor Palbociclib and Omission of Dose Management Supported by Pharmacometric Modelling as Part of the OpTAT Study.
Bandiera Carole et al. Cancers 2023 15(1)
Improving patient-centered communication in breast cancer: a study protocol for a multilevel intervention of a shared treatment deliberation system (SharES) within the NCI community oncology research program (NCORP) (Alliance A231901CD).
Hawley Sarah T et al. Trials 2023 24(1) 16
Artificial Intelligence for Indication of Invasive Assessment of Calcifications in Mammography Screening.
Weigel Stefanie et al. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2023 195(1) 38-46
A Privacy-Preserving Distributed Medical Data Integration Security System for Accuracy Assessment of Cancer Screening: Development Study of Novel Data Integration System.
Miyaji Atsuko et al. JMIR medical informatics 2022 10(12) e38922
Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature.
Anandarajah Akila et al. Breast cancer research : BCR 2022 24(1) 101
Breast Cancer Dataset, Classification and Detection Using Deep Learning.
Iqbal Muhammad Shahid et al. Healthcare (Basel, Switzerland) 2022 10(12)
Diagnostic Accuracy of Machine-Learning Models on Predicting Chemo-Brain in Breast Cancer Survivors Previously Treated with Chemotherapy: A Meta-Analysis.
Turcu-Stiolica Adina et al. International journal of environmental research and public health 2022 19(24)
Application of Deep Learning in Histopathology Images of Breast Cancer: A Review.
Zhao Yue et al. Micromachines 2022 13(12)
New Explainable Deep CNN Design for Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy.
Adoui Mohammed El et al. Current medical imaging 2022
Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years.
Fernandez Gerardo et al. Breast cancer research : BCR 2022 24(1) 93
Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence.
Dahlblom Victor et al. European radiology 2022
Novelty in Public Health and Epidemiology Informatics.
Diallo Gayo et al. Yearbook of medical informatics 2022 31(1) 273-275
Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies.
Sandbank Judith et al. NPJ breast cancer 2022 8(1) 129
Assessment of performance of the machine learning-based breast cancer risk prediction models: a systematic review.
Gao Ying et al. JMIR public health and surveillance 2022
A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms.
Al-Tam Riyadh M et al. Biomedicines 2022 10(11)
Development of Predictive Models for Survival among Women with Breast Cancer in Malaysia.
Nik Ab Kadir Mohd Nasrullah et al. International journal of environmental research and public health 2022 19(22)
A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions.
Mavrogiorgou Argyro et al. Sensors (Basel, Switzerland) 2022 22(22)
External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence.
Hsu William et al. JAMA network open 2022 5(11) e2242343
Differentiation of breast lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using deep transfer learning based on DenseNet201.
Meng Mingzhu et al. Medicine 2022 101(45) e31214
Deep Learning Models for Automated Assessment of Breast Density Using Multiple Mammographic Image Types.
Rigaud Bastien et al. Cancers 2022 14(20)
Use Case Evaluation and Digital Workflow of Breast Cancer Care by Artificial Intelligence and Blockchain Technology Application.
Griewing Sebastian et al. Healthcare (Basel, Switzerland) 2022 10(10)
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