Category: Uncategorized

Congratulations to Nicky Nicolson who successfully defended her thesis on Friday 5th Oct with no changes! Nicky leads an IDA group at the Royal Botanical Gardens at Kew.

Jaakko Hollmén, Stockholm University, Department of Computer and Systems Sciences, Sweden

Jaakko Hollmén is a faculty member at Department of Computer and Systems Sciences at Stokcholm University in Sweden (since September 2019). Prior to joining Stokcholm university, he was a faculty member at the Department of Computer Science at Aalto University in Finland. His research interests include theory and practice of machine learning and data mining, in particular in the context of health, medicine and environmental sciences. He has been involved in the organization of many IDA conferences for the past ten years. He is also the secretary of the IDA council.

Title of Talk: Diagnostic prediction in neonatal intensive care units

Abstract: Preterm infants, born before 37 weeks of gestation, are subject to many developmental issues and health problems. Very Low Birth Weight (VLBW) infants, with a birth weight under 1500 g, are the most afflicted in this group. These infants require treatment in the neonatal intensive care unit before they are mature enough for hospital discharge. The neonatal intensive care unit is a data-intensive environment, where multi-channel physiological data is gathered from patients using a number of sensors to construct a comprehensive picture of the patients’ vital signs. We have looked into the problem how to predict neonatal in-hospital mortality and morbidities. We have used time series data collected from Very Low Birth Weight infants treated in the neonatal intensive care unit of Helsinki University Hospital between 1999 and 2013. Our results show that machine learning models based on time series data alone have predictive power comparable with standard medical scores, and combining the two results in improved predictive ability. We have also studied the effect of observer bias on recording vital sign measurements in the neonatal intensive care unit, as well as conducted a retrospective cohort study on trends in the growth of Extremely Low Birth Weight (birth weight under 1000 g) infants during intensive care.

Welcome to Ashley Mann, Fawzia Kara-Isitt and Faisal Maramazi who will be starting their PhDs in October supervised by Stephen Swift and Mahir Arzoky.

Also, welcome to four new interns joining the IDA Group for the next 6 months:

Ylenia Rotalinti (Pavia): Working on Modelling Missingness in Primary Care Data

Barbara Draghi (Pavia): Working on Pseudo Time Models & Topological Analysis

Namir Oues (Brunel): Working on Patient Re-Identification in Synthetic Primary Care Data

Juan de Benedetti (Brunel): Working on Longitudinal Modelling of Primary Care Data

Congratulations to Toyah Overton who, with her employer Alcis, came second for her story map on identifying refugee tents using deep learning at the ESRI User conference on GIS last month.

Two talks were presented by Dr Noureddin Sadawi on 26/06/2019 at the Human Motion Analysis for Healthcare Applications conference at the Institute of Engineering and Technology.

Talk 1: Rehabilitation Movement Correctness Classification (slides can be found here)

Talk 2: Challenges encountered while developing MIRA (slides can be found here)

Congratulations to all the IDA group presenters at IEEE CBMS! A great effort!

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Congratulations to:

Mashael Al Luhaybi for her paper “Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks” which has been accepted at AIED 2019

and to the following for their papers being accepted at IEEE CBMS 2019

Biraja Ghoshal for his paper “Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data”

Leila Yousefi and Mahir Arzoky for their paper “Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery”

Bashir Dodo for his paper “Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods”

Steve Counsell, Stephen Swift, Mahir Arzoky and Giuseppe Destefanis for their poster / short paper “An Empirical Study of the AGIS Visual Field Metric and its Seasonal Variations ”

Awad Al Yousef for his poster / short paper “Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction”

Zenchen Wang, Puja Myles and Allan Tucker, “Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy”

Other recent conference acceptances:

Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker, “Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series” at AIME 2019

and

Fatima Amer Jid Almahri, David Bell and Mahir Arzoky  for her paper “Augmented education within a physical space” which has been accepted at UKAIS 2019

Looks like it will be a busy Summer!

There are EPSRC PhD scholarships currently available for topics including Data Analytics and Artificial Intelligence.

Deadline is 31 May 2019!

More information is here:

Congratulations to Bashir Dodo for his paper on “Level set Segmentation of Retinal OCT Images” that has been shortlisted for Best Paper at BIOIMAGING 2019!