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Algorithms - AI Medical Compendium

AIMC Topic: Algorithms

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Identification of effective diagnostic genes and immune cell infiltration characteristics in small cell lung cancer by integrating bioinformatics analysis and machine learning algorithms.

Saudi medical journal Aug 1, 2024
OBJECTIVES: To identify potential diagnostic markers for small cell lung cancer (SCLC) and investigate the correlation with immune cell infiltration.
Machine Learning Algorithms Biomarkers, Tumor Humans Gene Ontology Small Cell Lung Carcinoma Gene Expression Profiling Lung Neoplasms Computational Biology
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Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 1, 2024
BACKGROUND: This study aimed to develop a novel deep convolutional neural network called Dual-path Double Attention Transformer (DDA-Transformer) designed to achieve precise and fast knee joint CT image segmentation and to validate it in robotic-assi...
Humans Arthroplasty, Replacement, Knee Tibia Femur Robotic Surgical Procedures Surgery, Computer-Assisted Knee Joint Tomography, X-Ray Computed Deep Learning Aged Female Imaging, Three-Dimensional Male Reproducibility of Results Image Processing, Computer-Assisted Middle Aged Neural Networks, Computer Algorithms
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A general framework for developing computable clinical phenotype algorithms.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2024
OBJECTIVE: To present a general framework providing high-level guidance to developers of computable algorithms for identifying patients with specific clinical conditions (phenotypes) through a variety of approaches, including but not limited to machi...
Phenotype Electronic Health Records Natural Language Processing Humans Machine Learning Algorithms
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Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia.

Medicine Jul 26, 2024
This study aims to develop and validate a machine learning (ML) predictive model for assessing mortality in patients with malignant tumors and hyperkalemia (MTH). We extracted data on patients with MTH from the Medical Information Mart for Intensive ...
Hospital Mortality Hyperkalemia Intensive Care Units Female Aged Male Middle Aged Neoplasms Machine Learning Algorithms Prognosis Humans
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Multimodal functional deep learning for multiomics data.

Briefings in bioinformatics Jul 25, 2024
With rapidly evolving high-throughput technologies and consistently decreasing costs, collecting multimodal omics data in large-scale studies has become feasible. Although studying multiomics provides a new comprehensive approach in understanding the...
Computational Biology Multiomics Algorithms Deep Learning Genomics Humans Neural Networks, Computer
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scHyper: reconstructing cell-cell communication through hypergraph neural networks.

Briefings in bioinformatics Jul 25, 2024
Cell-cell communications is crucial for the regulation of cellular life and the establishment of cellular relationships. Most approaches of inferring intercellular communications from single-cell RNA sequencing (scRNA-seq) data lack a comprehensive g...
Computational Biology Neural Networks, Computer Humans Cell Communication Algorithms Single-Cell Analysis
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DeepIRES: a hybrid deep learning model for accurate identification of internal ribosome entry sites in cellular and viral mRNAs.

Briefings in bioinformatics Jul 25, 2024
The internal ribosome entry site (IRES) is a cis-regulatory element that can initiate translation in a cap-independent manner. It is often related to cellular processes and many diseases. Thus, identifying the IRES is important for understanding its ...
Neural Networks, Computer Internal Ribosome Entry Sites Computational Biology Algorithms Humans RNA, Messenger RNA, Viral Deep Learning
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Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network.

Briefings in bioinformatics Jul 25, 2024
Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due to their low variability, cost-effectiveness, and minimal invasiveness in diagnostic procedures. Machine learning (ML) methods have been applied to en...
Blood Proteins Protein Interaction Mapping Dementia Protein Interaction Maps Computational Biology Humans Algorithms Biomarkers Machine Learning
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HTINet2: herb-target prediction via knowledge graph embedding and residual-like graph neural network.

Briefings in bioinformatics Jul 25, 2024
Target identification is one of the crucial tasks in drug research and development, as it aids in uncovering the action mechanism of herbs/drugs and discovering new therapeutic targets. Although multiple algorithms of herb target prediction have been...
Humans Neural Networks, Computer Algorithms Deep Learning Medicine, Chinese Traditional Drugs, Chinese Herbal Bayes Theorem
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INTREPPPID-an orthologue-informed quintuplet network for cross-species prediction of protein-protein interaction.

Briefings in bioinformatics Jul 25, 2024
An overwhelming majority of protein-protein interaction (PPI) studies are conducted in a select few model organisms largely due to constraints in time and cost of the associated 'wet lab' experiments. In silico PPI inference methods are ideal tools t...
Protein Interaction Mapping Algorithms Animals Protein Interaction Maps Computational Biology Databases, Protein Species Specificity Humans Neural Networks, Computer Software
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