Empirical Study on Artifact Detection in Monitoring Data. - Cungen Cao; Neil McIntosh (AMIA, 1998)

Knowledge-Based Event Detection in Complex Time Series Data. - Jim Hunter; Neil McIntosh (AIMDM, 1999)

Artifact detection in cardiovascular time series monitoring data from preterm infants. - Cungen Cao; Isaac S. Kohane; Neil McIntosh (AMIA, 1999)

Multiple signal integration by decision tree induction to detect artifacts in the neonatal intensive care unit. - Christine L. Tsien; Isaac S. Kohane; Neil McIntosh (Artif. Intell. Medicine, 2000)

Building ICU artifact detection models with more data in less time. - Christine L. Tsien; Isaac S. Kohane; Neil McIntosh (AMIA, 2001)

Expertise and the interpretation of computerized physiological data: implications for the design of computerized monitoring in neonatal intensive care. - Eugenio Alberdi; Julie-Clare Becher; Kenneth J. Gilhooly; Jim Hunter; Robert Logie; Andy Lyon; Neil McIntosh; Jan Reiss (Int. J. Hum. Comput. Stud., 2001)

NEONATE: Decision Support in the Neonatal Intensive Care Unit - A Preliminary Report. - Jim Hunter; Gary Ewing; Yvonne Freer; Forbert Logie; Paul McCue; Neil McIntosh (AIME, 2003)

Role and experience determine decision support interface requirements in a neonatal intensive care environment. - Gary Ewing; Yvonne Freer; Robert Logie; Jim Hunter; Neil McIntosh; Sue Rudkin; Lindsey Ferguson (J. Biomed. Informatics, 2003)

Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. - Christopher K. I. Williams; John A. Quinn; Neil McIntosh (NIPS, 2005)

Summarising Complex ICU Data in Natural Language. - Jim Hunter; Yvonne Freer; Albert Gatt; Robert Logie; Neil McIntosh; Marian van der Meulen; François Portet; Ehud Reiter; Somayajulu Sripada; Cindy Sykes (AMIA, 2008)

Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring. - John A. Quinn; Christopher K. I. Williams; Neil McIntosh (IEEE Trans. Pattern Anal. Mach. Intell., 2009)