AIMC Topic: Machine Learning

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Development of a Method for Automatic Matching of Unstructured Medical Data to ICD-10 Codes.

Studies in health technology and informatics May 23, 2024
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to address this challenge. The system automatically matches unstructured medical text (doctor notes, complai...
International Classification of Diseases Humans Clinical Coding Electronic Health Records Machine Learning Natural Language Processing
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Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical Data.

Studies in health technology and informatics May 23, 2024
This study focuses on the complex interplay of healthcare, economic factors, and population dynamics, addressing a research gap in regional-level models that integrate diverse features within a temporal framework. Our primary objective is to develop ...
Cardiovascular Diseases Russia Machine Learning Forecasting Humans
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m6ACali: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq.

Nucleic acids research May 22, 2024
We present m6ACali, a novel machine-learning framework aimed at enhancing the accuracy of N6-methyladenosine (m6A) epitranscriptome profiling by reducing the impact of non-specific antibody enrichment in MeRIP-Seq. The calibration model serves as a g...
RNA, Messenger Sequence Analysis, RNA Calibration Adenosine Methylation Humans Machine Learning Transcriptome
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[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University May 20, 2024
OBJECTIVE: To establish a diagnostic model for scleroderma by combining machine learning and artificial neural network based on mitochondria-related genes.
Scleroderma, Systemic Animals Mice Machine Learning Gene Expression Profiling Humans Algorithms Computational Biology Disease Models, Animal Neural Networks, Computer Biomarkers Mitochondria ROC Curve
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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the st...
Injury Severity Score Wounds and Injuries Trauma Severity Indices Electronic Health Records Natural Language Processing Registries Humans Machine Learning
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Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow.
Natural Language Processing Workflow Confidentiality Algorithms Electronic Health Records France Data Warehousing Humans Machine Learning
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Multimodal learning for temporal relation extraction in clinical texts.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: This study focuses on refining temporal relation extraction within medical documents by introducing an innovative bimodal architecture. The overarching goal is to enhance our understanding of narrative processes in the medical domain, par...
Humans Machine Learning Electronic Health Records Data Mining Datasets as Topic Information Storage and Retrieval Narration Natural Language Processing
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Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way to implement the PPD prediction model within the EHR system for cli...
Decision Support Systems, Clinical Depression, Postpartum Humans Machine Learning Female Risk Assessment Electronic Health Records
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Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

Medicine May 17, 2024
To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepatitis (NASH), we downloaded 2 publicly available gene expression profiles, GSE164760 and GSE37031, from the gene expression omnibus database. These prof...
Machine Learning Algorithms Transcriptome Support Vector Machine Gene Expression Profiling Humans Hep G2 Cells Non-alcoholic Fatty Liver Disease
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Prediction of drug-protein interaction based on dual channel neural networks with attention mechanism.

Briefings in functional genomics May 15, 2024
The precise identification of drug-protein inter action (DPI) can significantly speed up the drug discovery process. Bioassay methods are time-consuming and expensive to screen for each pair of drug proteins. Machine-learning-based methods cannot acc...
Humans Neural Networks, Computer Machine Learning Computational Biology Proteins Pharmaceutical Preparations Drug Discovery Deep Learning Algorithms
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