AIMC Topic: Phenotype

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Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.

The journal of pain Aug 21, 2021
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroencephalogram (EEG) data demonstrate promising results. The primary aim of this review was to evaluate the effectiveness of ML algorithms for predicting pai...
Humans Pain Machine Learning Treatment Outcome Algorithms Pain Measurement Phenotype Electroencephalography
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Diagnosis of Wilson Disease and Its Phenotypes by Using Artificial Intelligence.

Biomolecules Aug 20, 2021
WD is caused by variants disrupting copper efflux resulting in excessive copper accumulation mainly in liver and brain. The diagnosis of WD is challenged by its variable clinical course, onset, morbidity, and variant type. Currently it is diagnosed...
Liver Principal Component Analysis Copper Mutation Middle Aged Diagnosis, Computer-Assisted Fuzzy Logic Copper-Transporting ATPases Hepatolenticular Degeneration Ceruloplasmin DNA, Mitochondrial Medical Informatics Glutamic Acid Artificial Intelligence Algorithms Phenotype Adult Male Brain Female Humans Neural Networks, Computer
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The "GEnomics of Musculo Skeletal Traits TranslatiOnal NEtwork": Origins, Rationale, Organization, and Prospects.

Frontiers in endocrinology Aug 16, 2021
Musculoskeletal research has been enriched in the past ten years with a great wealth of new discoveries arising from genome wide association studies (GWAS). In addition to the novel factors identified by GWAS, the advent of whole-genome and whole-exo...
Artificial Intelligence Humans Genetic Loci Phenotype Genome-Wide Association Study Musculoskeletal System Genomics Computational Biology
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Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses.

The Plant journal : for cell and molecular biology Aug 10, 2021
Brassinosteroids (BRs) are a group of plant steroid hormones involved in regulating growth, development, and stress responses. Many components of the BR pathway have previously been identified and characterized. However, BR phenotyping experiments ar...
Image Processing, Computer-Assisted Robotics Seedlings Zea mays Droughts Machine Learning Arabidopsis Proteins Equipment Design Arabidopsis Phenotype Protein Kinases Brassinosteroids Soil Triazoles
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A novel method for peanut variety identification and classification by Improved VGG16.

Scientific reports Aug 3, 2021
Crop variety identification is an essential link in seed detection, phenotype collection and scientific breeding. This paper takes peanut as an example to explore a new method for crop variety identification. Peanut is a crucial oil crop and cash cro...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Arachis Phenotype Deep Learning
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Data-driven identification of complex disease phenotypes.

Journal of the Royal Society, Interface Jul 28, 2021
Disease interaction in multimorbid patients is relevant to treatment and prognosis, yet poorly understood. In the present work, we combine approaches from network science, machine learning and computational phenotyping to assess interactions between ...
Humans Longitudinal Studies Obesity Machine Learning Phenotype Risk Factors
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Facial recognition accuracy in photographs of Thai neonates with Down syndrome among physicians and the Face2Gene application.

American journal of medical genetics. Part A Jul 21, 2021
Down syndrome (DS) is typically recognizable in those who present with multiple dysmorphism, especially in regard to facial phenotypes. However, as the presentation of DS in neonates is less obvious, a phenotype-based presumptive diagnosis is more ch...
Thailand Image Processing, Computer-Assisted Genetic Testing Facial Recognition Face Down Syndrome Female Infant, Newborn Male Software Humans Phenotype Artificial Intelligence Physicians
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Outcome-Oriented Deep Temporal Phenotyping of Disease Progression.

IEEE transactions on bio-medical engineering Jul 16, 2021
Chronic diseases evolve slowly throughout a patient's lifetime creating heterogeneous progression patterns that make clinical outcomes remarkably varied across individual patients. A tool capable of identifying temporal phenotypes based on the patien...
Disease Progression Neural Networks, Computer Humans Forecasting Phenotype
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Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.

Methods of information in medicine Jul 14, 2021
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including variations in symptoms and temporal criteria. The disease can be difficult for clinicians to diagnose accurately. Properly identifying asthma patients fr...
Child, Preschool Child Humans International Classification of Diseases Electronic Health Records Natural Language Processing Algorithms Asthma Phenotype Adolescent
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The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.

Respiratory medicine Jul 7, 2021
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous group of lung conditions that are challenging to diagnose and treat. As the presence of comorbidities often exacerbates this scenario, the characterization of patients with C...
Humans Male Cardiovascular Diseases Female Machine Learning Disease Progression Cluster Analysis Aged Phenotype Aged, 80 and over Prevalence Pulmonary Disease, Chronic Obstructive Retrospective Studies Comorbidity
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