Muhammad Aurangzeb Ahmad
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View article: Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making
Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making Open
Artificial intelligence surrogates are systems designed to infer preferences when individuals lose decision-making capacity. Fairness in such systems is a domain that has been insufficiently explored. Traditional algorithmic fairness frame…
View article: A Surgeon's Guide to Machine Learning.
A Surgeon's Guide to Machine Learning. Open
Machine learning (ML) represents a collection of advanced data modeling techniques beyond the traditional statistical models and tests with which most clinicians are familiar. While a subset of artificial intelligence, ML is far from the s…
View article: A Point-Based Algorithm for Distributional Reinforcement Learning in Partially Observable Domains
A Point-Based Algorithm for Distributional Reinforcement Learning in Partially Observable Domains Open
In many real-world planning tasks, agents must tackle uncertainty about the environment's state and variability in the outcomes of any chosen policy. We address both forms of uncertainty as a first step toward safer algorithms in partially…
View article: E <sup>2</sup> T <sup>2</sup> : Emote Embedding for <i>T</i> witch <i>T</i> oxicity Detection
E <sup>2</sup> T <sup>2</sup> : Emote Embedding for <i>T</i> witch <i>T</i> oxicity Detection Open
View article: HIV-Associated Pseudoaneurysms: A Comprehensive Review
HIV-Associated Pseudoaneurysms: A Comprehensive Review Open
View article: Overlap of neuroectodermal syndromes: Sturge-Weber syndrome, Klippel-Trenaunay syndrome, and pigmentary vascular phakomatosis in a pediatric patient - a case report
Overlap of neuroectodermal syndromes: Sturge-Weber syndrome, Klippel-Trenaunay syndrome, and pigmentary vascular phakomatosis in a pediatric patient - a case report Open
Case presentation: Female, four years old, non-consanguineous parents, uneventful pregnancy and perinatal period, was referred due the hypothesis of Sturge-Weber syndrome (SWS). Since birth, body spots have been observed, evolving with foc…
View article: Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI Open
Large language models have proliferated across multiple domains in as short period of time. There is however hesitation in the medical and healthcare domain towards their adoption because of issues like factuality, coherence, and hallucina…
View article: Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data
Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data Open
These are the data and resources used for a Twitch Emote recommendation system using a Word2Vec model. The nature and exploration of the data is described in Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data. To protect the privacy…
View article: Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data
Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data Open
These are the data and resources used for a Twitch Emote recommendation system using a Word2Vec model. The nature and exploration of the data is described in Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data. To protect the privacy…
View article: Validation of a Hospital Digital Twin with Machine Learning
Validation of a Hospital Digital Twin with Machine Learning Open
Recently there has been a surge of interest in developing Digital Twins of process flows in healthcare to better understand bottlenecks and areas of improvement. A key challenge is in the validation process. We describe a work in progress …
View article: Machine Learning for Deferral of Care Prediction
Machine Learning for Deferral of Care Prediction Open
Care deferral is the phenomenon where patients defer or are unable to receive healthcare services, such as seeing doctors, medications or planned surgery. Care deferral can be the result of patient decisions, service availability, service …
View article: SsAG: Summarization and sparsification of Attributed Graphs.
SsAG: Summarization and sparsification of Attributed Graphs. Open
The large sizes of real-world graphs in many domains make graph processing computationally prohibitive. A practical approach is to perform analytics on the compressed summary of the graph that retains the essential structure with bounded e…
View article: A Surgeon’s Guide to Machine Learning
A Surgeon’s Guide to Machine Learning Open
Machine learning (ML) represents a collection of advanced data modeling techniques beyond the traditional statistical models and tests with which most clinicians are familiar. While a subset of artificial intelligence, ML is far from the s…
View article: Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs
Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs Open
Gold farming and real money trade refer to a set of illicit practices in massively multiplayer online games (MMOGs) whereby players accumulate virtual resources to sell for “real world” money. Prior work has examined trade relationships fo…
View article: Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management Open
Prediction of diabetes and its various complications has been studied in a number of settings, but a comprehensive overview of problem setting for diabetes prediction and care management has not been addressed in the literature. In this do…
View article: Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare Open
Fairness in AI and machine learning systems has become a fundamental problem in the accountability of AI systems. While the need for accountability of AI models is near ubiquitous, healthcare in particular is a challenging field where acco…
View article: Emergency Department Optimization and Load Prediction in Hospitals
Emergency Department Optimization and Load Prediction in Hospitals Open
Over the past several years, across the globe, there has been an increase in people seeking care in emergency departments (EDs). ED resources, including nurse staffing, are strained by such increases in patient volume. Accurate forecasting…
View article: Training transfer dimensions and employees performance in Nigerian Public Universities: A theoretical overview
Training transfer dimensions and employees performance in Nigerian Public Universities: A theoretical overview Open
This paper tends to theoretically examine the effects of training transfer dimensions on
\nemployees performance in Nigerian public Universities. Employees plays an active role
\ntowards the success of any organizations which makes them of…
View article: Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations Open
This paper surveys visual methods of explainability of Machine Learning (ML) with focus on moving from quasi-explanations that dominate in ML to domain-specific explanation supported by granular visuals. ML interpretation is fundamentally …
View article: The Challenge of Imputation in Explainable Artificial Intelligence Models
The Challenge of Imputation in Explainable Artificial Intelligence Models Open
Explainable models in Artificial Intelligence are often employed to ensure transparency and accountability of AI systems. The fidelity of the explanations are dependent upon the algorithms used as well as on the fidelity of the data. Many …
View article: Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital
Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital Open
Background Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have b…