AIMC Topic: Datasets as Topic

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Convolutional Neural Network-based MR Image Analysis for Alzheimer's Disease Classification.

Current medical imaging reviews Jan 1, 2020
BACKGROUND: In this study, we used a convolutional neural network (CNN) to classify Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal control (NC) subjects based on images of the hippocampus region extracted from magnetic resonanc...
Datasets as Topic Alzheimer Disease Image Interpretation, Computer-Assisted Hippocampus Case-Control Studies Humans Cognitive Dysfunction Neural Networks, Computer Magnetic Resonance Imaging Brain Mapping
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Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer Peptides.

Current protein & peptide science Jan 1, 2020
Peptides act as promising anticancer agents due to their ease of synthesis and modifications, enhanced tumor penetration, and less systemic toxicity. However, only limited success has been achieved so far, as experimental design and synthesis of anti...
Humans Machine Learning Software Internet Neoplasms Datasets as Topic Peptides Antineoplastic Agents Databases, Protein
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An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.

Current protein & peptide science Jan 1, 2020
The chloroplast is a type of subcellular organelle of green plants and eukaryotic algae, which plays an important role in the photosynthesis process. Since the function of a protein correlates with its location, knowing its subchloroplast localizatio...
Chloroplast Proteins Chloroplasts Machine Learning Amino Acid Sequence Computational Biology Datasets as Topic Proteome Protein Transport Models, Statistical Gene Expression Regulation, Plant Plants
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Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

JAMA dermatology Jan 1, 2020
IMPORTANCE: Detection of cutaneous cancer on the face using deep-learning algorithms has been challenging because various anatomic structures create curves and shades that confuse the algorithm and can potentially lead to false-positive results.
Humans Skin Neural Networks, Computer Male Female Photography Carcinoma, Squamous Cell Keratinocytes Middle Aged Skin Neoplasms Datasets as Topic Carcinoma, Basal Cell ROC Curve Aged Face Adult Image Processing, Computer-Assisted
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Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.

Abdominal radiology (New York) Jan 1, 2020
PURPOSE: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and MRI liver observations using the liver imaging reporting and data system (LI-RADS) (version 2014).
Liver Diseases Radiology Information Systems Liver Feasibility Studies Image Interpretation, Computer-Assisted Humans Datasets as Topic Neural Networks, Computer Reproducibility of Results Tomography, X-Ray Computed Pilot Projects Magnetic Resonance Imaging
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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.
Suicidal Ideation Incidence Datasets as Topic Classification Female Adult Male Self-Injurious Behavior Clinical Coding Humans Machine Learning Algorithms Mental Disorders Electronic Health Records
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Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy risks limit the sharing of such data on a wide scale. Various approaches have been developed to mitigate risk, including record simulation via genera...
Computer Simulation Electronic Health Records Female Adult Humans Neural Networks, Computer Data Anonymization Privacy Male Datasets as Topic Child Age Distribution Models, Theoretical
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2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on extraction of adverse drug events (ADEs) from clinical records and evalu...
Patient Discharge Summaries Humans Electronic Health Records Deep Learning Support Vector Machine Natural Language Processing Drug-Related Side Effects and Adverse Reactions Datasets as Topic Information Storage and Retrieval
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Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Antituberculosis Activity.

Current drug discovery technologies Jan 1, 2020
BACKGROUND: Tuberculosis (TB) is an infection disease caused by Mycobacterium tuberculosis (Mtb) bacteria. One of the main causes of mortality from TB is the problem of Mtb resistance to known drugs.
Animals Drug Design Microbial Sensitivity Tests Models, Chemical Humans Machine Learning Daphnia Toxicity Tests, Acute Antitubercular Agents Isoniazid Tuberculosis, Multidrug-Resistant Rifampin Mycobacterium tuberculosis Datasets as Topic
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Machine learning approaches to study glioblastoma: A review of the last decade of applications.

Cancer reports (Hoboken, N.J.) Dec 1, 2019
BACKGROUND: Glioblastoma (GB, formally glioblastoma multiforme) is a malignant type of brain cancer that currently has no cure and is characterized by being highly heterogeneous with high rates of re-incidence and therapy resistance. Thus, it is urge...
History, 21st Century Genomics Humans Glioblastoma Machine Learning Brain Neoplasms Datasets as Topic Genetic Heterogeneity
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