External Course

DSA ADS Course - 2021

Machine Learning, Medicine, Artificial Intelligence

Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This article explores the main challenges and limitations of AI in healthcare, and considers the steps required to translate these potentially transformative technologies from research to clinical practice.

Main body

DSA ADS Course - 2021

Machine Learning, Medicine, Medical Devices, FDA, Medical Device Evaluation

April, 2021

A comprehensive overview of medical AI devices approved by the US Food and Drug Administration sheds new
light on limitations of the evaluation process that can mask vulnerabilities of devices when they are deployed on
patients.

DSA ADS Course - 2021

Algorithms for Causal Reasoning in Probability Trees

Causality, Algorithms, Causal Reasoning, Probability Trees, Machine Learning

October, 2020

Abstract

DSA ADS Course - 2021

Causal Data Science, Causal Inference, Linguistic Causation, CausaLM, Causal Model Explanation, Counterfactual Language Models, Machine Learning

Discuss causative linguistic expressions and causal model explanation through counterfactual language models.

CausaLM: Causal Model Explanation Through Counterfactual Language Models - 2021

Abstract

DSA ADS Course - 2021

Unit Selection, Counterfactual Logic, A/B Testing, Statistical Analysis, Machine Learning

Discuss counterfactual logic in developing Recommender-type systems, A/B testing and machine learning.

Unit Selection Based on Counterfactual Logic - July, 2019

Abstract

DSA ADS Course - 2021

July, 2021

Abstract

DSA ADS Course - 2023

Discuss: 

• Statistical Models

• Likelihood Models

• Bayesian Models

• Deterministic Numerical Models

• Simulation vs. Numerical Methods