Speaker: Vaibhav Rajan, International Institute of Information Technology, Bangalore (IIITB)
Title: Clinical Data Analytics: Predictive and Exploratory Models
Clinical data analysis poses several modeling challenges. I will outline these challenges in the context of identifying patients at risk of developing complications in hospitals, and then present two problems.
Nursing notes contain regular and valuable assessments of patients' condition but often have inconsistent abbreviations and lack the grammatical structure of formal documents, thereby making automated analysis difficult. We design a new feature extraction method that effectively utilizes the structure of the notes and is robust to inconsistencies in the text. Using these features our predictive model for postoperative acute respiratory failure in critical care surpasses the accuracy of previous competitive models.
Healthcare data often contains heterogeneous datatypes that exhibit complex feature dependencies. Our new algorithm for dependency clustering uses copulas to effectively model a wide range of dependencies and can fit mixed -- continuous and ordinal -- data. It scales linearly with size and quadratically with dimensions of input data, which is significantly faster than state-of-the-art correlation clustering methods for mixed data.
Vaibhav Rajan received PhD and MS degrees in Computer Science from the Swiss Federal Institute of Technology at Lausanne (EPFL), Switzerland and BE (Hons.) in Computer Science from BITS, Pilani, India. Previously he was a Consultant at Hewlett-Packard Labs and Senior Research Scientist at Xerox Research Centre India where he led the project on Clinical Decision Support Systems. He is presently the Chief Data Scientist at an Education Technology startup and Visiting Faculty Member at International Institute of Information Technology, Bangalore (IIITB). His interests include Machine Learning, Algorithm Design and their applications in Healthcare, Bioinformatics and Education. He has served as program committee member for conferences in Artificial Intelligence (AAAI, IJCAI), has published over 35 peer-reviewed articles in international conferences and journals, and has 5 granted and 25 filed US patents. He is a recipient of the Young Researchers Award 2014 given by European Regional Section (ERS) of the International Association for Statistical Computing (IASC).
Talk sponsored by: Depts. of Computer Science and Medicine
For Additional Information contact: Steve Easterbrook