AIMC Topic: Algorithms

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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

World neurosurgery Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Child Brain Natural Language Processing Retrospective Studies Cephalometry Tomography, X-Ray Computed Hydrocephalus Humans Models, Biological Algorithms Datasets as Topic Young Adult Deep Learning Lateral Ventricles Adult Adolescent Cross-Sectional Studies Child, Preschool Male Female Middle Aged Aged Aged, 80 and over Neuroimaging Skull Atrophy
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Predicting the reproductive toxicity of chemicals using ensemble learning methods and molecular fingerprints.

Toxicology letters Jan 6, 2021
Reproductive toxicity endpoints are a significant safety concern in the assessment of the adverse effects of chemicals in drug discovery. Computational models that can accurately predict a chemical's toxic potential are increasingly pursued to replac...
Algorithms Computer Simulation Animals Support Vector Machine Humans Reproduction Machine Learning Quantitative Structure-Activity Relationship
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MATHLA: a robust framework for HLA-peptide binding prediction integrating bidirectional LSTM and multiple head attention mechanism.

BMC bioinformatics Jan 6, 2021
BACKGROUND: Accurate prediction of binding between class I human leukocyte antigen (HLA) and neoepitope is critical for target identification within personalized T-cell based immunotherapy. Many recent prediction tools developed upon the deep learnin...
Neural Networks, Computer Algorithms Peptides Humans Histocompatibility Antigens Class I Protein Binding Computational Biology Models, Statistical
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iT3SE-PX: Identification of Bacterial Type III Secreted Effectors Using PSSM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Jan 6, 2021
Identification of bacterial type III secreted effectors (T3SEs) has become a popular research topic in the field of bioinformatics due to its crucial role in understanding host-pathogen interaction and developing better therapeutic targets against th...
Amino Acid Sequence Position-Specific Scoring Matrices Type III Secretion Systems Computational Biology Machine Learning Support Vector Machine Algorithms Databases, Protein
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Right population, right resources, right algorithm: Using machine learning efficiently and effectively in surgical systems where data are a limited resource.

Surgery Jan 5, 2021
There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries. From our own experience and the literature, we share several lessons for devel...
Clinical Decision-Making Developing Countries Data Collection Algorithms Decision Support Techniques Delivery of Health Care Surgical Procedures, Operative Clinical Decision Rules Humans Machine Learning
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Raman spectroscopy of follicular fluid and plasma with machine-learning algorithms for polycystic ovary syndrome screening.

Molecular and cellular endocrinology Jan 5, 2021
Polycystic ovary syndrome (PCOS) is the main cause of anovulatory infertility and affects women throughout their lives. The specific diagnostic method is still under investigation. In the present study, we aimed to identify the metabolic tracks of th...
Algorithms Female Young Adult Humans Machine Learning Principal Component Analysis Follicular Fluid Polycystic Ovary Syndrome Adult Spectrum Analysis, Raman Mass Screening
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Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction: Study for the application of deep learning noise reduction technology in low dose.

European journal of radiology Jan 5, 2021
PURPOSE: This study compares the image and diagnostic qualities of a DEep Learning Trained Algorithm (DELTA) for half-dose contrast-enhanced liver computed tomography (CT) with those of a commercial hybrid iterative reconstruction (HIR) method used f...
Deep Learning Liver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Technology Tomography, X-Ray Computed Adult Humans Algorithms
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t-soft update of target network for deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Jan 4, 2021
This paper proposes a new robust update rule of target network for deep reinforcement learning (DRL), to replace the conventional update rule, given as an exponential moving average. The target network is for smoothly generating the reference signals...
Reinforcement, Psychology Algorithms Deep Learning Robotics
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Machine learning models for wetland habitat vulnerability in mature Ganges delta.

Environmental science and pollution research international Jan 4, 2021
The present study attempts to measure wetland habitat vulnerability (WHV) in the Indian part of mature Ganges delta. Predictive algorithms belonging to bivariate statistics and machine learning (ML) algorithms were applied for fulfilling the data min...
Ecosystem Wetlands Machine Learning Algorithms
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GA-based implicit stochastic optimization and RNN-based simulation for deriving multi-objective reservoir hedging rules.

Environmental science and pollution research international Jan 4, 2021
Management of reservoir systems is a complicated process involving many uncertainties regarding future events and the diversity of purposes these reservoirs serve; therefore, an effective management of these systems could help improve resource utiliz...
Uncertainty Neural Networks, Computer Algorithms Computer Simulation Germany
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