Data Science & Bioinformatics Lab

09/06/2023

https://www.slideshare.net/SarinderKaur/theory-and-practice-of-integrating-machine-learning-and-conventional-statistics-in-medical-data-analysis?from_search=4

Theory and Practice of Integrating Machine Learning and Conventional Statistics in Medical Data Analysis Sarinder K Dhillon [email protected] Computer Science...

21/10/2022

Students interested in Health Informatics should read this article.

30/08/2022

04/04/2021

https://www.r-bloggers.com/2019/08/explaining-predictions-random-forest-post-hoc-analysis-randomforestexplainer-package/

Recap This is a continuation on the explanation of machine learning model predictions. Specifically, random forest models. We can depend on the random forest package itself to explain predictions based on impurity importance or permutati...

20/02/2020

Phd Student Tan Wee Ming presenting his PhD work on Radiology Text Mining for Structured Reporting in UMMC

05/03/2019

https://www.slideshare.net/SarinderKaur/bioinformatics-databases-current-trends-and-future-perspectives

Data is the most powerful resource in any field or subject of study. In Biology, data comes from scientists and their actions, while any institution that makes…

27/02/2019

Inbix2019 , Jalandhar, Punjab - Presented an invited talk on the application of Data Science in Healthcare.

27/02/2019

Phd Candidate from the Data Science & Bioinformatics Laboratory presenting a seminar on “An Automated Pipeline for constructing 3D models of Monogenean Hardparts using Machine Learning Techniques”

28/01/2019

PhD students from the DSAB presenting at the UM- NUH Singapore Seminar on Breast Cancer at Faculty of Medicine, UM.

14/11/2018

The Fish Ontology Project

PeerJ. 2017 Sep 15;5:e3811. doi: 10.7717/peerj.3811. eCollection 2017.

14/11/2018

Automated plant identification using artificial neural network and support vector machine.

14/09/2017

A new article from the group.
https://journals.viamedica.pl/folia_morphologica/article/view/FM.a2017.0079

Identification of taxonomy at a specific level is time consuming and reliant upon expert ecologists. Hence the demand for automated species identification increased over the last two decades. Automation of data classification is primarily focussed on images, incorporating and analysing image data ha...