AIMC Topic: Feasibility Studies

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A unifying framework for interpreting and predicting mutualistic systems.

Nature communications Jan 16, 2019
Coarse-grained rules are widely used in chemistry, physics and engineering. In biology, however, such rules are less common and under-appreciated. This gap can be attributed to the difficulty in establishing general rules to encompass the immense div...
Food Chain Symbiosis Support Vector Machine Feasibility Studies Models, Biological Probability Calibration
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Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Female Syndrome Male Young Adult Feasibility Studies Case-Control Studies Adult Superficial Back Muscles Humans Ultrasonography Myofascial Pain Syndromes Sensitivity and Specificity Support Vector Machine Algorithms
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Multi-Institutional Validation of a Knowledge-Based Planning Model for Patients Enrolled in RTOG 0617: Implications for Plan Quality Controls in Cooperative Group Trials.

Practical radiation oncology Dec 15, 2018
PURPOSE: This study aimed to evaluate the feasibility of using a single-institution, knowledge-based planning (KBP) model as a dosimetric plan quality control (QC) for multi-institutional clinical trials. The efficacy of this QC tool was retrospectiv...
Carcinoma, Non-Small-Cell Lung Feasibility Studies Models, Biological Knowledge Bases Humans Software Decision Support Systems, Clinical Lung Neoplasms Radiometry Organs at Risk Quality Control Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation
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Etching reaction-based photoelectrochemical immunoassay of aflatoxin B in foodstuff using cobalt oxyhydroxide nanosheets-coating cadmium sulfide nanoparticles as the signal tags.

Analytica chimica acta Dec 7, 2018
A new split-type photoelectrochemical (PEC) immunosensing platform was designed for sensitive detection of aflatoxin B (AFB) in foodstuffs, coupling with enzymatic hydrolysate-triggered etching reaction of cobalt oxyhydroxide (CoOOH) on cadmium sulfi...
Models, Molecular Nanoparticles Feasibility Studies Electrochemistry Oxides Food Contamination Cobalt Aflatoxin B1 Immunoassay Food Analysis Sulfides Arachis Cadmium Compounds Molecular Conformation Photochemical Processes
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Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning.

JAMA network open Dec 7, 2018
IMPORTANCE: Despite data aggregation and removal of protected health information, there is concern that deidentified physical activity (PA) data collected from wearable devices can be reidentified. Organizations collecting or distributing such data s...
Young Adult Adult Biometric Identification Male Computer Security Middle Aged Fitness Trackers Humans Machine Learning Confidentiality Databases, Factual Feasibility Studies Female Medical Informatics Accelerometry Exercise Adolescent Child Support Vector Machine
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Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Manually annotated clinical corpora are commonly used as the gold standards for the training and evaluation of clinical natural language processing (NLP) tools. The creation of these manual annotation corpora, however, is both costly and time-consumi...
Health Level Seven Electronic Health Records Natural Language Processing Feasibility Studies Health Information Interoperability Humans
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Applied Force during Piston Prosthesis Placement in a 3D-Printed Model: Freehand vs Robot-Assisted Techniques.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Dec 4, 2018
OBJECTIVES: To describe a 3D-printed middle ear model that quantifies the force applied to the modeled incus. To compare the forces applied during placement and crimping of a stapes prosthesis between the Robotic ENT Microsurgery System ( REMS) and t...
Humans Prospective Studies Sensitivity and Specificity Incus Ossicular Prosthesis Feasibility Studies Otosclerosis Ear, Middle Prosthesis Implantation Printing, Three-Dimensional Compressive Strength Robotics Microsurgery Prosthesis Design
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Some Similarity Measures of Neutrosophic Sets Based on the Euclidean Distance and Their Application in Medical Diagnosis.

Computational and mathematical methods in medicine Nov 28, 2018
Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In this paper, some new similarity measures of single-valued neutrosophic sets (SVNSs) and in...
Humans Algorithms Clinical Decision-Making Diagnosis, Computer-Assisted Mathematical Concepts Computational Biology Fuzzy Logic Feasibility Studies
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Mobile detection of autism through machine learning on home video: A development and prospective validation study.

PLoS medicine Nov 27, 2018
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. This has in part contributed to long wait times for a diagnosis and subsequent delays in access...
Early Diagnosis Autistic Disorder Child Behavior Feasibility Studies Video Recording Remote Consultation Diagnosis, Computer-Assisted Adolescent Time Factors Child, Preschool Child Adolescent Behavior Age Factors Predictive Value of Tests Female Reproducibility of Results Male Humans Infant Machine Learning Prospective Studies
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A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning.

Medical physics Nov 23, 2018
PURPOSE: To develop a method for predicting optimal dose distributions, given the planning image and segmented anatomy, by applying deep learning techniques to a database of previously optimized and approved Intensity-modulated radiation therapy trea...
Neural Networks, Computer Deep Learning Feasibility Studies Radiotherapy Planning, Computer-Assisted Automation Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans
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