Research graph
References from Machine learning evaluation for identification of M-proteins in human serum. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine Learning Based Analysis of Human Serum N-glycome Alterations to Follow up Lung Tumor Surgery.
2020 · External reference
A Machine Learning Approach for the Automated Interpretation of Plasma Amino Acid Profiles
10.1093/clinchem/hvaa134 · 2020 · External reference
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms
2019 · External reference
A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain’s Electrical Activity Signals.
2023 · External reference
Enriched sera protein profiling for detection of non-small cell lung cancer biomarkers
10.1186/1477-5956-9-55 · 2011 · External reference
Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
10.1111/cpf.12666 · 2021 · External reference
RECOMIA-a cloud-based platform for artificial intelligence research in nuclear medicine and radiology.
10.1186/s40658-020-00316-9 · 2020 · External reference
Analysis of inflammatory response in human plasma samples by an automated multicapillary electrophoresis system
10.1515/cclm.2004.260 · 2004 · External reference
Comparison between a second generation automated multicapillary electrophoresis system with an automated agarose gel electrophoresis system for the detection of M-components
10.3109/2000-1967-219 · 2008 · External reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · 2019 · External reference
A Unified Approach to Interpreting Model Predictions
2017 · External reference
Unresolved reference
External reference
Achieving Expert-Level Interpretation of Serum Protein Electrophoresis through Deep Learning Driven by Human Reasoning
10.1093/clinchem/hvab133 · 2021 · External reference
Development of machine learning model for diagnostic disease prediction based on laboratory tests
10.1038/s41598-021-87171-5 · 2021 · External reference
Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma.
10.3389/fonc.2021.608191 · 2021 · External reference
Natural Language Processing of Serum Protein Electrophoresis Reports in the Veterans Affairs Health Care System.
2020 · External reference
Comparison of Various Machine Learning Techniques Based on Variable Selection under Imbalanced Data
2022 · External reference
10.1007/978-3-642-21557-5_10
10.1007/978-3-642-21557-5_10 · 2011 · External reference
Unresolved reference
2012 · External reference
Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning
10.1093/clinchem/hvac190 · 2023 · External reference
An Overview of Light Chain Multiple Myeloma: Clinical Characteristics and Rarities, Management Strategies, and Disease Monitoring.
2018 · External reference
