AIMC Topic: Models, Theoretical

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From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model.

Proceedings of the National Academy of Sciences of the United States of America Jun 29, 2021
The large fluctuations in traffic during the COVID-19 pandemic provide an unparalleled opportunity to assess vehicle emission control efficacy. Here we develop a random-forest regression model, based on the large volume of real-time observational dat...
Electricity Transportation Algorithms Models, Theoretical Air Pollutants Air Pollution Particulate Matter Humans Vehicle Emissions Machine Learning COVID-19
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Pretraining model for biological sequence data.

Briefings in functional genomics Jun 9, 2021
With the development of high-throughput sequencing technology, biological sequence data reflecting life information becomes increasingly accessible. Particularly on the background of the COVID-19 pandemic, biological sequence data play an important r...
Software Algorithms Deep Learning Humans Data Mining High-Throughput Nucleotide Sequencing Datasets as Topic Computational Biology Models, Theoretical Natural Language Processing
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Artificial Intelligence-related Literature in Transplantation: A Practical Guide.

Transplantation Apr 1, 2021
Databases, Factual Biomedical Research Big Data Humans Artificial Intelligence Models, Theoretical Data Mining Transplantation
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Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Accurate risk prediction is important for evaluating early medical treatment effects and improving health care quality. Existing methods are usually designed for dynamic medical data, which require long-term observations. Meanwhile, import...
Models, Theoretical Data Mining Datasets as Topic Peptic Ulcer Hemorrhage Humans Prognosis Risk Assessment Deep Learning Neural Networks, Computer Precision Medicine
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Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Like most real-world data, electronic health record (EHR)-derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can...
Decision Support Systems, Clinical Models, Theoretical Area Under Curve Prognosis Neoplasms ROC Curve Survival Analysis Humans Machine Learning
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Early Detection of Hypotension Using a Multivariate Machine Learning Approach.

Military medicine Jan 25, 2021
INTRODUCTION: The ability to accurately detect hypotension in trauma patients at the earliest possible time is important in improving trauma outcomes. The earlier an accurate detection can be made, the more time is available to take corrective action...
Sheep Neural Networks, Computer Models, Theoretical Machine Learning Support Vector Machine Animals Hypotension
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Development of a predictive model for retention in HIV care using natural language processing of clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their mortality and improve their quality of life, however some patients display poor appointment adherence and become lost to follow-up (LTFU). We applied n...
Female Patient Compliance Adult HIV Infections Humans Male Lost to Follow-Up Models, Theoretical Electronic Health Records Natural Language Processing Retention in Care
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Anticancer drug synergy prediction in understudied tissues using transfer learning.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
OBJECTIVE: Drug combination screening has advantages in identifying cancer treatment options with higher efficacy without degradation in terms of safety. A key challenge is that the accumulated number of observations in in-vitro drug responses varies...
Models, Theoretical Drug Combinations Drug Screening Assays, Antitumor Drug Synergism Antineoplastic Agents Cell Line, Tumor Humans Computational Biology Neural Networks, Computer Machine Learning
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Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.

Neurosurgery Jan 13, 2021
BACKGROUND: Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.
Humans Machine Learning Cohort Studies Models, Theoretical Recovery of Function Adult Longitudinal Studies Switzerland Middle Aged Prognosis Subarachnoid Hemorrhage Severity of Illness Index Female Aged
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Security robot for the prevention of workplace violence using the Non-linear Adaptive Heuristic Mathematical Model.

Work (Reading, Mass.) Jan 1, 2021
BACKGROUND: Nowadays, workplace violence is found to be a mental health hazard and considered a crucial topic. The collaboration between robots and humans is increasing with the growth of Industry 4.0. Therefore, the first problem that must be solved...
Heuristics Humans Models, Theoretical Industry Robotics Workplace Violence
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