AIMC Topic: Algorithms

Clear Filters Showing 18251 to 18260 of 28713 articles

Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The identification of drug-drug interactions (DDIs) is important for patient safety; yet, compared to other pharmacovigilance work, a limited amount of research has been conducted in this space. Recent work has successfully applied a method of derivi...
Drug-Related Side Effects and Adverse Reactions Computational Biology Pharmacovigilance Polypharmacy Models, Biological Data Visualization Semantics Drug Interactions Humans Neural Networks, Computer Algorithms
View on PubMed

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment outcomes and quality of life. Early detection of cancer patients at risk for cardiotoxicity before cardiotoxic treatments and providing preventive mea...
Antineoplastic Agents Heart Failure Electronic Health Records Female Risk Factors Humans Machine Learning Algorithms Aged Aged, 80 and over Adult Neoplasms Quality of Life Male Middle Aged
View on PubMed

Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allo...
Machine Learning Decision Trees Algorithms Natural Language Processing Electronic Health Records Humans Surgical Wound Infection Sensitivity and Specificity Information Storage and Retrieval Logistic Models Support Vector Machine
View on PubMed

Deep learning computer vision algorithm for detecting kidney stone composition.

BJU international Mar 3, 2020
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones.
ROC Curve Uric Acid Calcium Phosphates Image Interpretation, Computer-Assisted Humans Algorithms Deep Learning Calcium Oxalate Struvite Kidney Calculi Photography Cystine
View on PubMed DOI

Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

International journal of medical informatics Mar 3, 2020
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk...
Cohort Studies Parkinson Disease Maine Risk Assessment Comorbidity Accidental Falls Algorithms Electronic Health Records Female Aged, 80 and over Male Risk Factors Aged Humans Machine Learning
View on PubMed DOI

Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?

Journal of chemical information and modeling Mar 3, 2020
In recent years, protein-ligand interaction scoring functions derived through machine-learning are repeatedly reported to outperform conventional scoring functions. However, several published studies have questioned that the superior performance of m...
Algorithms Proteins Neural Networks, Computer Bayes Theorem Machine Learning Ligands
View on PubMed DOI

AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining.

Scientific reports Mar 3, 2020
The development of deep learning algorithms for complex tasks in digital medicine has relied on the availability of large labeled training datasets, usually containing hundreds of thousands of examples. The purpose of this study was to develop a 3D d...
Humans Algorithms Appendicitis Male Middle Aged Female Deep Learning Adult Cross-Sectional Studies
View on PubMed DOI

Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data.

Nature communications Mar 3, 2020
Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in the nucleus. However, accurately identifying sub-compartments from chromatin interaction data remains a challenge in computational biolog...
Markov Chains Epigenome K562 Cells Computer Graphics Cluster Analysis Unsupervised Machine Learning Gene Expression Chromatin Humans Neural Networks, Computer Reproducibility of Results Genomics Data Analysis Algorithms
View on PubMed DOI

Image segmentation based on gray level and local relative entropy two dimensional histogram.

PloS one Mar 3, 2020
Though traditional thresholding methods are simple and efficient, they may result in poor segmentation results because only image's brightness information is taken into account in the procedure of threshold selection. Considering the contextual infor...
Humans Artificial Intelligence Entropy Mathematical Concepts Algorithms Image Processing, Computer-Assisted Color
View on PubMed DOI

Review and comparative analysis of machine learning-based phage virion protein identification methods.

Biochimica et biophysica acta. Proteins and proteomics Mar 2, 2020
Phage virion protein (PVP) identification plays key role in elucidating relationships between phages and hosts. Moreover, PVP identification can facilitate the design of related biochemical entities. Recently, several machine learning approaches have...
Machine Learning Algorithms Computational Biology Viral Proteins Virion Support Vector Machine Bacteriophages
View on PubMed DOI
Popular Topics
Recent Journals