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Pancreatic Cancer

An Evaluation of Machine Learning Models coupled with Powerful Big Data Techniques in the Case of Pancreatic Cancer

SOURCE: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS); IEEE, Published: 20 February 2024 An Evaluation of Machine Learning Models

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Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records

SOURCE: Article in Journal – Sensors; MDPI, Published: 7 March 2024 Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine

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Risk Factors of Pancreatic Cancer: A Literature Review

SOURCE: Article in Journals – Cancer Reports and Reviews; Published: 2022 Risk Factors of Pancreatic Cancer: A Literature Review  Temin Ke,  Artitaya

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An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank

SOURCE: Article in Journals – Biomedicines; Published: 01 December 2023 An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank Te-Min

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Risk Factors Associated with Pancreatic Cancer in the UK Biobank Cohort

SOURCE: Article in Journals – Cancers; Published: 12 October 2022 Risk Factors Associated with Pancreatic Cancer in the UK Biobank Cohort Te-Min

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Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records 

Our research paper entitled “Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records”

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The Primary Healthcare Providers’ Attitudes towards Artificial Intelligence and Information Communication Technologies Implementation into Pancreatic Cancer Risk Prediction, Prevention and Early Diagnosis

SOURCE: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS); Publisher: IEEE, Published: 20 February 2024 The Primary Healthcare Providers’ Attitudes

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Artificial Intelligence Implementation for Development of Socially Significant Disease Prediction and Risk Mitigation Monitoring – Patients Perspective

SOURCE: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS); Publisher: IEEE, Published: 20 February 2024 Artificial Intelligence Implementation for Development

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Development and application of the iHELP platform to facilitate the establishment of healthy habits for the prevention of pancreatic cancer

SOURCE: 2022 America Association for Cancer Research (AACR) Annual Meeting – Journal; Published: 15 June 2022 Development and application of the iHELP

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