AIMC Topic: Machine Learning

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Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.

BMJ open Jul 23, 2019
OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention.
Humans Machine Learning Algorithms Health Behavior Sensitivity and Specificity Female Datasets as Topic Male Middle Aged Hypertension
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Biometric identification of listener identity from frequency following responses to speech.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran a...
Humans Machine Learning Speech Electroencephalography Biometric Identification Speech Perception Auditory Perception Language Female Adult Male
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Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.

International journal of radiation oncology, biology, physics Jul 22, 2019
PURPOSE: A noninvasive diagnostic method to predict the degree of malignancy accurately would be of great help in glioma management. This study aimed to create a highly accurate machine learning model to perform glioma grading.
Oligodendroglioma Diffusion Tensor Imaging Anisotropy Brain Neoplasms Diffusion Magnetic Resonance Imaging Aged Glioma Male Astrocytoma Aged, 80 and over Diagnosis, Differential Middle Aged Glioblastoma Young Adult Adolescent Neoplasm Grading Adult Humans Datasets as Topic Machine Learning Retrospective Studies Female
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Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Pediatric transplantation Jul 22, 2019
Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be apparent in traditional statistical methods to better classify patient risk. The SPLIT registry data...
Adult Risk Assessment Infant Adolescent Child, Preschool Algorithms Prospective Studies Risk Factors Young Adult Registries Liver Transplantation Pediatrics Anastomosis, Surgical Liver Failure Child Treatment Outcome Predictive Value of Tests Biliary Tract Surgical Procedures Humans Machine Learning Software
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An artificial intelligence-based clinical decision support system for large kidney stone treatment.

Australasian physical & engineering sciences in medicine Jul 22, 2019
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone treatment procedure, particularly percutaneous nephrolithotomy (PCNL). The system can serve as a promising tool to provide counseling before an operation...
Decision Support Systems, Clinical Treatment Outcome Blood Transfusion Stents Kidney Calculi Nephrolithotomy, Percutaneous Algorithms Female Humans Male Artificial Intelligence Middle Aged Machine Learning
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Development and rigorous validation of antimalarial predictive models using machine learning approaches.

SAR and QSAR in environmental research Jul 22, 2019
The large collection of known and experimentally verified compounds from the ChEMBL database was used to build different classification models for predicting the antimalarial activity against . Four different machine learning methods, namely the supp...
Antimalarials Machine Learning Quantitative Structure-Activity Relationship Drug Design ROC Curve Area Under Curve
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Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors.

The journal of physical chemistry letters Jul 22, 2019
It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's largest traditional Chinese medicine database was applied to screen for structure-based drug design and ligand-based drug design. To predict drug activity, ...
Cyclin-Dependent Kinase 6 Databases, Pharmaceutical Matrix Metalloproteinase 13 Proto-Oncogene Proteins c-bcl-2 Tumor Suppressor Protein p53 Binding Sites Proto-Oncogene Proteins c-mdm2 Drug Design Antineoplastic Agents Machine Learning Deep Learning Proteins Algorithms Cyclin-Dependent Kinase Inhibitor p16 Databases, Protein Peptides Models, Molecular Mutation Ligands
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Phenotyping Women Based on Dietary Macronutrients, Physical Activity, and Body Weight Using Machine Learning Tools.

Nutrients Jul 22, 2019
Nutritional phenotyping can help achieve personalized nutrition, and machine learning tools may offer novel means to achieve phenotyping. The primary aim of this study was to use energy balance components, namely input (dietary energy intake and macr...
Body Weight Nutrients Nutritional Status Postmenopause Female Exercise Cluster Analysis Models, Biological Humans Neural Networks, Computer Machine Learning
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Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

International journal of molecular sciences Jul 22, 2019
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patient is simultaneously infected with both human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV), which is common today in certain popul...
Humans Machine Learning Algorithms Drug Discovery HIV Infections Anti-HIV Agents Antiviral Agents Protein Binding Models, Molecular HIV-1 Molecular Conformation Quantitative Structure-Activity Relationship Databases, Pharmaceutical Molecular Structure Polypharmacology Bayes Theorem Hepacivirus Hepatitis C
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Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach.

Journal of medical Internet research Jul 22, 2019
BACKGROUND: As the most commonly occurring form of mental illness worldwide, depression poses significant health and economic burdens to both the individual and community. Different types of depression pose different levels of risk. Individuals who s...
Humans Machine Learning Delivery of Health Care Female Health Information Exchange Adult Male Middle Aged Depression Adolescent
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