What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Artificial intelligence
His main research concerns Electroencephalography, Anesthesia, Neuroscience, Artificial intelligence and Propofol.
His Clinical neurophysiology study, which is part of a larger body of work in Electroencephalography, is frequently linked to In patient, bridging the gap between disciplines.
His Anesthesia study incorporates themes from Alpha and Coherence analysis.
Many of his research projects under Neuroscience are closely connected to Cortical spreading depression with Cortical spreading depression, tying the diverse disciplines of science together.
The study incorporates disciplines such as Machine learning and Polysomnography in addition to Artificial intelligence.
His Propofol research includes themes of Sevoflurane, Anesthetic, Coherence and Alpha rhythm.
His most cited work include:
- Exact Discovery of Time Series Motifs. (310 citations)
- Sparse Extreme Learning Machine for Classification (161 citations)
- The continuum of spreading depolarizations in acute cortical lesion development: Examining Leão's legacy (145 citations)
What are the main themes of his work throughout his whole career to date?
M. Brandon Westover spends much of his time researching Electroencephalography, Artificial intelligence, Anesthesia, Internal medicine and Epilepsy.
His Electroencephalography study combines topics from a wide range of disciplines, such as Status epilepticus and Audiology.
His research integrates issues of Machine learning and Pattern recognition in his study of Artificial intelligence.
His study in Anesthesia focuses on Propofol, Subarachnoid hemorrhage, Sedation and Anesthetic.
His Epilepsy study is associated with Neuroscience.
His research investigates the connection between Burst suppression and topics such as Coma that intersect with issues in Intensive care medicine.
He most often published in these fields:
- Electroencephalography (49.58%)
- Artificial intelligence (22.50%)
- Anesthesia (15.83%)
What were the highlights of his more recent work (between 2019-2021)?
- Electroencephalography (49.58%)
- Artificial intelligence (22.50%)
- Internal medicine (14.58%)
In recent papers he was focusing on the following fields of study:
M. Brandon Westover mainly investigates Electroencephalography, Artificial intelligence, Internal medicine, Pattern recognition and Epilepsy.
M. Brandon Westover works on Electroencephalography which deals in particular with Ictal.
He combines subjects such as Machine learning, Receiver operating characteristic and Natural language processing with his study of Artificial intelligence.
As a part of the same scientific study, M. Brandon Westover usually deals with the Internal medicine, concentrating on Cardiology and frequently concerns with Neurology, Subarachnoid hemorrhage, Severity of illness and Public health.
His studies deal with areas such as Artificial neural network, Respiratory system and False positive rate as well as Pattern recognition.
The subject of his Epilepsy research is within the realm of Neuroscience.
Between 2019 and 2021, his most popular works were:
- Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019. (77 citations)
- Association of Red Blood Cell Distribution Width With Mortality Risk in Hospitalized Adults With SARS-CoV-2 Infection. (29 citations)
- Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation (21 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Electroencephalography, Internal medicine, Retrospective cohort study, Cohort and Artificial intelligence.
Specifically, his work in Electroencephalography is concerned with the study of Ictal.
His Internal medicine study integrates concerns from other disciplines, such as Delirium and Cardiology.
His studies in Retrospective cohort study integrate themes in fields like Disseminated intravascular coagulation, Respiratory failure, Coma and Autopsy.
His biological study deals with issues like Cohort study, which deal with fields such as Tracheal intubation, Intensive care, Mechanical ventilation, Algorithm and Relative risk.
His study in Adverse effect is interdisciplinary in nature, drawing from both Anesthesia and Burst suppression.
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