AIMC Topic: Reproducibility of Results

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Fully automated detection of retinal disorders by image-based deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 4, 2019
PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal inje...
Female Reproducibility of Results Male Middle Aged Humans Neural Networks, Computer Algorithms Retrospective Studies Tomography, Optical Coherence Retina Retinal Diseases Deep Learning ROC Curve Image Processing, Computer-Assisted Follow-Up Studies
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Automatically Evaluating Balance: A Machine Learning Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 4, 2019
Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). In this paper, we analyze the feasibility of using trunk sway data and machine learning (ML) t...
Humans Exercise Therapy Torso Pilot Projects Vestibular Diseases Machine Learning Reproducibility of Results Support Vector Machine Female Models, Statistical Aged Postural Balance Male Middle Aged Physical Therapy Modalities Physical Education and Training Self-Assessment
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Humans Image Processing, Computer-Assisted Cluster Analysis Neural Networks, Computer Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Machine Learning Reproducibility of Results Algorithms Lung ROC Curve Data Collection
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Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.

AJR. American journal of roentgenology Jan 2, 2019
OBJECTIVE: The purpose of this study is to evaluate the potential value of machine learning (ML)-based high-dimensional quantitative CT texture analysis in predicting the mutation status of the gene encoding the protein polybromo-1 (PBRM1) in patient...
Aged Male Humans Middle Aged Machine Learning Nuclear Proteins Radiographic Image Interpretation, Computer-Assisted Algorithms Retrospective Studies Transcription Factors DNA-Binding Proteins Tomography, X-Ray Computed Kidney Neoplasms Contrast Media Female Predictive Value of Tests Carcinoma, Renal Cell Reproducibility of Results Mutation
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Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

Fertility and sterility Jan 2, 2019
OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred embryo and compare it with a multivariate logistic regression model (MvLRM), based on data from a large cohort including in vitro fertilization (IVF)...
Risk Assessment Fertilization in Vitro Treatment Outcome Embryo Implantation Female Humans Fertility Reproducibility of Results Machine Learning Sperm Injections, Intracytoplasmic Risk Factors Decision Support Techniques Infertility Male Single Embryo Transfer Retrospective Studies Pregnancy
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Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory.

Computational intelligence and neuroscience Jan 2, 2019
Preventive maintenance activities require a tool to be offline for long hour in order to perform the prescribed maintenance activities. Although preventive maintenance is crucial to ensure operational reliability and efficiency of the tool, long hour...
Machine Learning Forecasting Neural Networks, Computer Semiconductors Reproducibility of Results Time Factors
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Using deep learning to identify translational research in genomic medicine beyond bench to bedside.

Database : the journal of biological databases and curation Jan 1, 2019
Tracking scientific research publications on the evaluation, utility and implementation of genomic applications is critical for the translation of basic research to impact clinical and population health. In this work, we utilize state-of-the-art mach...
Neural Networks, Computer Translational Research, Biomedical Reproducibility of Results ROC Curve Task Performance and Analysis Deep Learning Statistics as Topic Genomics Support Vector Machine
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Co-digestion of Laminaria digitata with cattle manure: A unimodel simulation study of both batch and continuous experiments.

Bioresource technology Dec 31, 2018
This work investigated the thermophilic (55 °C) co-digestion performance both in batch and continuous mode operation. The biochemical methane potentials of L. digitata and cattle manure were 308 ± 24 and 203 ± 33 mL CH/g VS, respectively. The optimum...
Reproducibility of Results Bioreactors Animals Manure Cattle Laminaria Methane
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Development and validation of a sensitive method for alkyl sulfonate genotoxic impurities determination in drug substances using gas chromatography coupled to triple quadrupole mass spectrometry.

Journal of pharmaceutical and biomedical analysis Dec 30, 2018
Alkyl sulfonate esters have been widely concerned as genotoxic impurities (GTIs). A gas chromatography triple-quadrupole mass spectrometry (GC-MS/MS) method has been developed for trace determination of 9 commonly encountered sulfonate esters in drug...
Imatinib Mesylate Mutagens Gas Chromatography-Mass Spectrometry Alkanesulfonates Reproducibility of Results Solubility Drug Contamination Limit of Detection Solvents Tandem Mass Spectrometry Capecitabine
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Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 29, 2018
The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determination of heavy metal content in tomato leaves under different cadmium stress. Besides, a method involving wavelet transform and least square support vecto...
Wavelet Analysis Reproducibility of Results Principal Component Analysis Spectroscopy, Near-Infrared Least-Squares Analysis Support Vector Machine Solanum lycopersicum Plant Leaves Cadmium
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