AIMC Topic: Machine Learning

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Comment on: "Artificial Intelligence and Ophthalmology".

Turkish journal of ophthalmology Dec 29, 2020
Humans Artificial Intelligence Machine Learning Ophthalmology
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IDRMutPred: predicting disease-associated germline nonsynonymous single nucleotide variants (nsSNVs) in intrinsically disordered regions.

Bioinformatics (Oxford, England) Dec 22, 2020
MOTIVATION: Despite of the lack of folded structure, intrinsically disordered regions (IDRs) of proteins play versatile roles in various biological processes, and many nonsynonymous single nucleotide variants (nsSNVs) in IDRs are associated with huma...
Sequence Alignment Germ Cells Humans Machine Learning Algorithms Nucleotides Intrinsically Disordered Proteins
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Single-cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs.

Blood Dec 17, 2020
Hematopoietic stem and progenitor cells (HSPCs) develop in distinct waves at various anatomical sites during embryonic development. The in vitro differentiation of human pluripotent stem cells (hPSCs) recapitulates some of these processes; however, i...
Machine Learning Single-Cell Analysis RNA-Seq Pluripotent Stem Cells Humans Hematopoietic Stem Cells Antigens, Differentiation Liver Gene Expression Regulation Fetus
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Heterogeneous sensing in a multifunctional soft sensor for human-robot interfaces.

Science robotics Dec 16, 2020
Soft sensors have been playing a crucial role in detecting different types of physical stimuli to part or the entire body of a robot, analogous to mechanoreceptors or proprioceptors in biology. Most of the currently available soft sensors with compac...
Optical Devices Equipment Design Ionic Liquids Lab-On-A-Chip Devices User-Computer Interface Robotics Algorithms Humans Computer Simulation Neural Networks, Computer Biomechanical Phenomena Machine Learning
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Evolving role of artificial intelligence in gastrointestinal endoscopy.

World journal of gastroenterology Dec 14, 2020
Artificial intelligence (AI) is a combination of different technologies that enable machines to sense, comprehend, and learn with human-like levels of intelligence. AI technology will eventually enhance human capability, provide machines genuine auto...
Gastroenterology Image Processing, Computer-Assisted Endoscopy, Gastrointestinal Artificial Intelligence Humans Machine Learning
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Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.

Mathematical biosciences and engineering : MBE Dec 10, 2020
The gait speed affects the gait patterns (biomechanical and spatiotemporal parameters) of distinct age populations. Classification of normal, slow and fast walking is fundamental for understanding the effects of gait speed on the gait patterns and fo...
Gait Humans Support Vector Machine Machine Learning Bayes Theorem Walking
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An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...
Humans Machine Learning Electronic Health Records Female Male Patient Satisfaction Patient Outcome Assessment Social Network Analysis Surveys and Questionnaires ROC Curve Logistic Models Models, Statistical Decision Trees Physician-Patient Relations
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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Data Management Respiratory Insufficiency Data Mining Shock Risk Assessment Hospital Mortality ROC Curve Intensive Care Units Electronic Health Records Humans Machine Learning Databases, Factual
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Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Accurate estimations of surgical case durations can lead to the cost-effective utilization of operating rooms. We developed a novel machine learning approach, using both structured and unstructured features as input, to predict a continuou...
Operative Time Models, Statistical Natural Language Processing Machine Learning Forecasting Reproducibility of Results Datasets as Topic Surgical Procedures, Operative Operating Rooms Humans Neural Networks, Computer
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Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
The exponential growth of health data from devices, health applications, and electronic health records coupled with the development of data analysis tools such as machine learning offer opportunities to leverage these data to mitigate health disparit...
Humans Artificial Intelligence Machine Learning Government Regulation United States Food and Drug Administration Software Minority Groups United States Health Status Disparities
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