AIMC Topic: Machine Learning

Clear Filters Showing 32841 to 32850 of 34417 articles

Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.
Self-Injurious Behavior Clinical Coding Datasets as Topic Classification Female Adult Suicidal Ideation Male Incidence Humans Mental Disorders Machine Learning Electronic Health Records Algorithms
View on PubMed DOI

Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

JAMA otolaryngology-- head & neck surgery Jan 1, 2020
IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing can be used to assess risk of malignant neoplasm.
Humans Ultrasonography Sensitivity and Specificity Thyroid Nodule Male Risk Assessment Predictive Value of Tests Machine Learning Thyroid Neoplasms Middle Aged Female
View on PubMed DOI

Machine Learning and Cochlear Implantation-A Structured Review of Opportunities and Challenges.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Jan 1, 2020
OBJECTIVE: The use of machine learning technology to automate intellectual processes and boost clinical process efficiency in medicine has exploded in the past 5 years. Machine learning excels in automating pattern recognition and in adapting learned...
Humans Machine Learning Signal Processing, Computer-Assisted Cochlear Implantation Adult
View on PubMed DOI

Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

JAMA psychiatry Jan 1, 2020
IMPORTANCE: Suicide is a public health problem, with multiple causes that are poorly understood. The increased focus on combining health care data with machine-learning approaches in psychiatry may help advance the understanding of suicide risk.
Marital Status Single-Payer System Suicide, Completed Registries Sex Factors Middle Aged Risk Assessment Male Models, Statistical Denmark Suicide Mental Disorders Female Adult Humans Machine Learning
View on PubMed DOI

A Novel Deep Learning Algorithm for the Automatic Detection of High-Grade Gliomas on T2-Weighted Magnetic Resonance Images: A Preliminary Machine Learning Study.

Turkish neurosurgery Jan 1, 2020
AIM: To propose a convolutional neural network (CNN) for the automatic detection of high-grade gliomas (HGGs) on T2-weighted magnetic resonance imaging (MRI) scans.
Magnetic Resonance Imaging Deep Learning Glioma Humans Neural Networks, Computer Algorithms Brain Neoplasms Machine Learning
View on PubMed DOI

Machine Learning to Decode Genomics.

Clinical chemistry Jan 1, 2020
Humans Machine Learning DNA-Binding Proteins Databases, Factual Genomics
View on PubMed DOI

Recent Advancement in Predicting Subcellular Localization of Mycobacterial Protein with Machine Learning Methods.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2020
Mycobacterium tuberculosis (MTB) can cause the terrible tuberculosis (TB), which is reported as one of the most dreadful epidemics. Although many biochemical molecular drugs have been developed to cope with this disease, the drug resistance-especiall...
Machine Learning Computational Biology Bacterial Proteins Mycobacterium tuberculosis
View on PubMed DOI

Dairy Safety Prediction Based on Machine Learning Combined with Chemicals.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2020
BACKGROUND: Dairy safety has caused widespread concern in society. Unsafe dairy products have threatened people's health and lives. In order to improve the safety of dairy products and effectively prevent the occurrence of dairy insecurity, countries...
Dairy Products Humans Machine Learning Algorithms
View on PubMed DOI

Application of Machine Learning Methods in Predicting Nuclear Receptors and their Families.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2020
Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely related to cell development, differentiation, reproduction, homeostasis, and metabolism. According to the alignments of the conserved domains, NRs ar...
Receptors, Cytoplasmic and Nuclear Humans Animals Computational Biology Machine Learning
View on PubMed DOI

Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine.

Journal of Parkinson's disease Jan 1, 2020
Clinical decision making for Parkinson's disease patients is supported by a combination of three distinct information resources: best available scientific evidence, professional expertise, and the personal needs and preferences of patients. All three...
Machine Learning Precision Medicine Clinical Decision-Making Humans Models, Organizational Patient Preference Decision Making, Shared Parkinson Disease Evidence-Based Medicine Big Data
View on PubMed DOI
Popular Topics
Recent Journals