AIMC Topic: Machine Learning

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Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

IEEE journal of biomedical and health informatics Feb 11, 2020
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities including functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP). Understan...
Alzheimer Disease Aged, 80 and over Cluster Analysis Male Decision Trees Diagnosis, Computer-Assisted Brain Humans Machine Learning Algorithms Polymorphism, Single Nucleotide Magnetic Resonance Imaging Female Aged
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Prehospital triage of acute aortic syndrome using a machine learning algorithm.

The British journal of surgery Feb 11, 2020
BACKGROUND: Acute aortic syndrome (AAS) comprises a complex and potentially fatal group of conditions requiring emergency specialist management. The aim of this study was to build a prediction algorithm to assist prehospital triage of AAS.
Logistic Models Emergency Medical Services Triage Aortic Diseases Clinical Decision Rules Acute Disease Syndrome Male Middle Aged Hospital Mortality Female Reproducibility of Results Aged Humans Prospective Studies Prognosis Machine Learning Algorithms
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Hybrid decision tree-based machine learning models for short-term water quality prediction.

Chemosphere Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Water Environmental Monitoring Models, Statistical Decision Trees Humans Machine Learning Temperature Rivers Oxygen Water Pollution Water Quality
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Gait variability as digital biomarker of disease severity in Huntington's disease.

Journal of neurology Feb 11, 2020
BACKGROUND: Impaired gait plays an important role for quality of life in patients with Huntington's disease (HD). Measuring objective gait parameters in HD might provide an unbiased assessment of motor deficits in order to determine potential benefic...
Humans Machine Learning Biomarkers Gait Disorders, Neurologic Huntington Disease Female Male Adult Middle Aged Biomechanical Phenomena Severity of Illness Index
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A Machine Learning Approach for Drug-target Interaction Prediction using Wrapper Feature Selection and Class Balancing.

Molecular informatics Feb 11, 2020
Drug-Target interaction (DTI) plays a crucial role in drug discovery, drug repositioning and understanding the drug side effects which helps to identify new therapeutic profiles for various diseases. However, the exponential growth in the genomic and...
Computer Simulation Drug Discovery Drug Development Databases, Protein Machine Learning Algorithms Databases, Chemical Receptors, Cytoplasmic and Nuclear Receptors, G-Protein-Coupled Enzymes Pharmaceutical Preparations Ion Channels Amino Acid Sequence
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Polyp fingerprint: automatic recognition of colorectal polyps' unique features.

Surgical endoscopy Feb 11, 2020
BACKGROUND: Content-based image retrieval (CBIR) is an application of machine learning used to retrieve images by similarity on the basis of features. Our objective was to develop a CBIR system that could identify images containing the same polyp ('p...
Humans Image Interpretation, Computer-Assisted Colonoscopy Machine Learning Information Storage and Retrieval Colonic Polyps
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Machine Learning for Cancer Drug Combination.

Clinical pharmacology and therapeutics Feb 11, 2020
When treating multiple complex diseases, such as cancer, polytherapy may demonstrate efficiency than monotherapy. However, due to the multiplicative relationship between the number of drugs and cell lines vs. the number of combinations, it is impract...
Computer Simulation Antineoplastic Combined Chemotherapy Protocols Humans Drug Development Machine Learning Forecasting
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Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of "Junk Genes" in Biomedical Practice.

DNA and cell biology Feb 11, 2020
Head and neck squamous cell carcinoma (HNSCC) is the sixth malignancy, which is characterized by poor prognosis or high mortality because of the lack of predicting markers. Aberrant cancer pseudogenes have been found predictive for prognosis. We aim ...
Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Databases, Genetic RNA, Untranslated Pseudogenes Biomarkers, Tumor Male Transcriptome Machine Learning Prognosis Female Humans
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Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease-informed machine-learning.

Alzheimer's & dementia : the journal of the Alzheimer's Association Feb 11, 2020
INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of cognitive decline in Alzheimer's disease (AD) is a critical yet unmet clinical challenge.
Humans Machine Learning Alzheimer Disease Positron-Emission Tomography Biomarkers Cognitive Dysfunction Male Female Magnetic Resonance Imaging Disease Progression Adult
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Scanning electron microscopy and machine learning reveal heterogeneity in capsular morphotypes of the human pathogen Cryptococcus spp.

Scientific reports Feb 11, 2020
Phenotypic heterogeneity is an important trait for the development and survival of many microorganisms including the yeast Cryptococcus spp., a deadly pathogen spread worldwide. Here, we have applied scanning electron microscopy (SEM) to define four ...
Fungal Capsules Anatomic Variation Cryptococcus Machine Learning Phenotype Microscopy, Electron, Scanning
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