Integrative Approach to Predict Severity in Nonketotic Hyperglycinemia
Sign Up to like & getrecommendations! Published in 2022 at "Annals of Neurology"
DOI: 10.1002/ana.26423
Abstract: Glycine encephalopathy, also known as nonketotic hyperglycinemia (NKH), is an inherited neurometabolic disorder with variable clinical course and severity, ranging from infantile epileptic encephalopathy to psychiatric disorders. A precise phenotypic characterization and an evaluation of… read more here.
Keywords: nonketotic hyperglycinemia; integrative approach; approach predict; predict severity ... See more keywords
Multiscale approach to predict strength of notched composite plates
Sign Up to like & getrecommendations! Published in 2020 at "Composite Structures"
DOI: 10.1016/j.compstruct.2020.112827
Abstract: Abstract Success in design and application of composite materials to a large extend depends on the use of the adequate strength and failure criteria. The World-Wide Failure Exercise (WWFE) is an international effort to establish… read more here.
Keywords: notched composite; predict strength; approach predict; multiscale approach ... See more keywords
Coupled analytical approach to predict piloted flaming ignition of non-charring polymers
Sign Up to like & getrecommendations! Published in 2017 at "Fire Safety Journal"
DOI: 10.1016/j.firesaf.2017.08.006
Abstract: Abstract Classical thermal theory of piloted ignition is extended by coupling the heat balance at the exposed sample surface and the finite-rate pyrolysis in the material volume. Approximate analytical solutions for the sample temperature are… read more here.
Keywords: analytical approach; coupled analytical; non charring; approach predict ... See more keywords
A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers
Sign Up to like & getrecommendations! Published in 2023 at "Automatika"
DOI: 10.1080/00051144.2023.2200347
Abstract: In a survey conducted in the year 2020, we came to know that India’s around 50% of population includes young people of the age group of 25 and students. Guiding this young mass in the… read more here.
Keywords: predict competency; approach predict; machine learning; novel approach ... See more keywords
DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors
Sign Up to like & getrecommendations! Published in 2022 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkac708
Abstract: We present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities… read more here.
Keywords: approach predict; machine learning; binding affinities; predict ... See more keywords
A Guided Neural Network Approach to Predict Early Readmission of Diabetic Patients
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3275086
Abstract: Diabetes is a major chronic health problem affecting millions globally. Effective diabetes management can reduce the risk of hospital readmission and the associated financial losses for both the healthcare system and insurance companies. Hospital readmission… read more here.
Keywords: neural network; network approach; approach predict; readmission ... See more keywords
A SuperLearner Approach to Predict Run-In Selection in Clinical Trials
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/4306413
Abstract: A critical early step in a clinical trial is defining the study sample that appropriately represents the target population from which the sample will be drawn. Envisaging a “run-in” process in study design may accomplish… read more here.
Keywords: superlearner approach; clinical trials; approach predict; predict run ... See more keywords
A CT-based transfer learning approach to predict NSCLC recurrence: The added-value of peritumoral region
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0285188
Abstract: Non-small cell lung cancer (NSCLC) represents 85% of all new lung cancer diagnoses and presents a high recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients at diagnosis could be… read more here.
Keywords: nsclc patients; approach predict; transfer learning; recurrence ... See more keywords
Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13061075
Abstract: Background: Tuberculosis (TB) is one of the leading causes of death worldwide and a major cause of ill health. Without treatment, the mortality rate of TB is approximately 50%; with treatment, most patients with TB… read more here.
Keywords: tuberculosis; adverse effects; approach predict; using artificial ... See more keywords
A Deep Learning Approach to Predict Chronological Age
Sign Up to like & getrecommendations! Published in 2023 at "Healthcare"
DOI: 10.3390/healthcare11030448
Abstract: Recently, researchers have turned their focus to predicting the age of people since numerous applications depend on facial recognition approaches. In the medical field, Alzheimer’s disease mainly depends on patients’ ages. Multiple methods have been… read more here.
Keywords: approach predict; age; predict age; deep learning ... See more keywords