Search Results for author: Lovedeep Gondara

Found 14 papers, 4 papers with code

Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare

no code implementations29 Apr 2025 Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour, Raymond Ng

This study aims to guide language model selection by investigating: 1) the necessity of finetuning versus zero-shot usage, 2) the benefits of domain-adjacent versus generic pretrained models, 3) the value of further domain-specific pretraining, and 4) the continued relevance of Small Language Models (SLMs) compared to Large Language Models (LLMs) for specific tasks.

Language Modeling Language Modelling +1

Leveraging Language Models for Automated Patient Record Linkage

no code implementations21 Apr 2025 Mohammad Beheshti, Lovedeep Gondara, Iris Zachary

Discussion: Fine-tuned language models achieved strong performance in patient record blocking and matching with minimal errors.

Blocking Data Integration +1

ELM: Ensemble of Language Models for Predicting Tumor Group from Pathology Reports

no code implementations24 Mar 2025 Lovedeep Gondara, Jonathan Simkin, Shebnum Devji, Gregory Arbour, Raymond Ng

Population-based cancer registries (PBCRs) face a significant bottleneck in manually extracting data from unstructured pathology reports, a process crucial for tasks like tumor group assignment, which can consume 900 person-hours for approximately 100, 000 reports.

A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting

no code implementations11 Nov 2024 Lovedeep Gondara, Jonathan Simkin

We present an audit mechanism for language models, with a focus on models deployed in the healthcare setting.

Language Modeling Language Modelling

Differentially Private Ensemble Classifiers for Data Streams

1 code implementation9 Dec 2021 Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho

Learning from continuous data streams via classification/regression is prevalent in many domains.

regression

The Differentially Private Lottery Ticket Mechanism

1 code implementation16 Feb 2020 Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho

We propose the differentially private lottery ticket mechanism (DPLTM).

Differentially Private Survival Function Estimation

no code implementations4 Oct 2019 Lovedeep Gondara, Ke Wang

Survival function estimation is used in many disciplines, but it is most common in medical analytics in the form of the Kaplan-Meier estimator.

Recovering Loss to Followup Information Using Denoising Autoencoders

no code implementations12 Feb 2018 Lovedeep Gondara, Ke Wang

Loss to followup is a significant issue in healthcare and has serious consequences for a study's validity and cost.

Denoising

Detecting Adversarial Samples Using Density Ratio Estimates

no code implementations5 May 2017 Lovedeep Gondara

Machine learning models, especially based on deep architectures are used in everyday applications ranging from self driving cars to medical diagnostics.

Density Ratio Estimation Self-Driving Cars

CrowdMI: Multiple Imputation via Crowdsourcing

no code implementations8 Dec 2016 Lovedeep Gondara

Can humans impute missing data with similar proficiency as machines?

Imputation valid

Classifier comparison using precision

no code implementations29 Sep 2016 Lovedeep Gondara

New proposed models are often compared to state-of-the-art using statistical significance testing.

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