Clinical Applications of Artificial Intelligence in Real-World Data
portes grátis
Clinical Applications of Artificial Intelligence in Real-World Data
Asselbergs, Folkert W.; Moore, Jason H.; Denaxas, Spiros; Oberski, Daniel L.
Springer International Publishing AG
11/2024
285
Mole
9783031366802
15 a 20 dias
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Part 1: Data Processing, Storage, Regulations.- Biomedical Big Data: Opportunities and Challenges.- Quality Control, Data Cleaning, Imputation.- Data Security And Privacy Issues.- Data Standards and Terminology.- Biomedical Ontologies.- Graph Databases as Future Of Data Storage.- Data Integration, Harmonization.- Natural Language Processing And Text Mining- Turning Unstructured Data Into Structured.- Part 2: Analytics.- Statistical Analysis Statistical Analysis - Causality, Mendelian Randomization.- Statistical Analysis - Meta-Analysis/Reproducibility.- Machine Learning - Basic Concepts.- Machine Learning - Basic Supervised Methods.- Machine Learning - Basic Unsupervised Methods.- Machine Learning - Evaluation.- Machine Learning - Representation Learning/Feature Selection/Engineering.- Machine Learning - Interpretation.- Deep Learning - Prediction.- Deep Learning - Autoencoders.- Artificial Intelligence.- Machine Learning In Practice - Clinical Decision Support, Risk Prediction, Diagnosis.- Machine Learning In Practice - Evaluation Clinical Value, Guidelines.- Challenges Of Machine Learning and AI.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big health data;Artificial intelligence;Machine learning;Deep learning;Biomedical ontologies;Electronic Health Records
Part 1: Data Processing, Storage, Regulations.- Biomedical Big Data: Opportunities and Challenges.- Quality Control, Data Cleaning, Imputation.- Data Security And Privacy Issues.- Data Standards and Terminology.- Biomedical Ontologies.- Graph Databases as Future Of Data Storage.- Data Integration, Harmonization.- Natural Language Processing And Text Mining- Turning Unstructured Data Into Structured.- Part 2: Analytics.- Statistical Analysis Statistical Analysis - Causality, Mendelian Randomization.- Statistical Analysis - Meta-Analysis/Reproducibility.- Machine Learning - Basic Concepts.- Machine Learning - Basic Supervised Methods.- Machine Learning - Basic Unsupervised Methods.- Machine Learning - Evaluation.- Machine Learning - Representation Learning/Feature Selection/Engineering.- Machine Learning - Interpretation.- Deep Learning - Prediction.- Deep Learning - Autoencoders.- Artificial Intelligence.- Machine Learning In Practice - Clinical Decision Support, Risk Prediction, Diagnosis.- Machine Learning In Practice - Evaluation Clinical Value, Guidelines.- Challenges Of Machine Learning and AI.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
