Clinicalml.org

Predicting human health from biofluid-based metabolomics using …

WebThis work highlights the potential for health state diagnostics using all metabolomics features with data-driven analysis. Biofluid-based metabolomics has the potential to …

Actived: 8 days ago

URL: http://clinicalml.org/publication/evans-2020-metabolomics/

Learning a Health Knowledge Graph from Electronic Medical Records

WebOur study shows that direct and automated construction of high quality health knowledge graphs from medical records using rudimentary concept extraction is feasible. The noisy …

Category: Medical Go Health

Large-Scale Study of Temporal Shift in Health Insurance Claims

WebWe create 1,010 tasks by evaluating 242 healthcare outcomes for temporal shift from 2015 to 2020 on a health insurance claims dataset. 9.7% of the tasks show temporal shifts at …

Category: Health Go Health

Robustly Extracting Medical Knowledge from EHRs: A Case Study …

WebIncreasingly large electronic health records (EHRs) provide an opportunity to algorithmically learn medical knowledge. In one prominent example, a causal health knowledge graph …

Category: Medical Go Health

MedKnowts: Unified Documentation and Information Retrieval for

WebClinical documentation can be transformed by Electronic Health Records, yet the documentation process is still a tedious, timeconsuming, and error-prone process. …

Category: Health Go Health

Multi-task Prediction of Disease Onsets from Longitudinal …

WebWe evaluate this approach in healthcare by using longitudinal measurements of lab tests, one of the more raw signals of a patient's health state widely available in clinical data, to …

Category: Health Go Health

The Potential For Bias In Machine Learning And Opportunities For …

WebAs the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning …

Category: Health Go Health

Electronic phenotyping with APHRODITE and the Observational …

WebThe widespread usage of electronic health records (EHRs) for clinical research has produced multiple electronic phenotyping approaches. Methods for electronic …

Category: Health Go Health

Medknowts MIT Clinical ML

WebMedKnowts is a smarter electronic health record (EHR) that employs machine learning to speed up clinicians’ workflows, since clinicians often spend more time interfacing with the …

Category: Health Go Health

Early Identification of Patients with Acute Decompensated Heart …

WebInterventions to reduce readmissions following acute heart failure hospitalization require early identification of patients. The purpose of this study was to develop and test …

Category: Health Go Health

A decision algorithm to promote outpatient antimicrobial …

WebTo address this, we developed machine learning models to predict antibiotic susceptibility using electronic health record data and built a decision algorithm for recommending the …

Category: Health Go Health

Pulse of the Pandemic: Iterative Topic Filtering for Clinical

WebThe rapid evolution of the COVID-19 pandemic has underscored the need to quickly disseminate the latest clinical knowledge during a public-health emergency. One …

Category: Health Go Health

Population-Level Prediction of Type 2 Diabetes using Claims Data …

WebWe present a new approach to population health, in which data-driven predictive models are learned for outcomes such as type 2 diabetes. Our approach enables risk assessment …

Category: Health Go Health

Clustering Interval-Censored Time-Series for Disease Phenotyping

WebUnsupervised learning is often used to uncover clusters in data. However, different kinds of noise may impede the discovery of useful patterns from real-world time-series data. In …

Category: Health Go Health

Conceptualizing Machine Learning for Dynamic Information …

WebThe large amount of time clinicians spend sifting through patient notes and documenting in electronic health records (EHRs) is a leading cause of clinician burnout. By proactively …

Category: Health Go Health

Antimicrobial Resistance (AMR) Dataset Documentation

WebDocumentation for the Antimicrobial Resistance (AMR) Dataset. AMR-UTI is a freely accessible dataset, derived from electronic health record (EHR) information on …

Category: Health Go Health

Evaluating Reinforcement Learning Algorithms in Observational …

WebMuch attention has been devoted recently to the development of machine learning algorithms with the goal of improving treatment policies in healthcare. Reinforcement …

Category: Health Go Health

Large Language Models are Few-Shot Clinical Information Extractors

WebLarge Language Models are Few-Shot Clinical Information Extractors. Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, David Sontag. 2022. PDF. Cite. Type. …

Category: Health Go Health

People MIT Clinical ML

WebUndergraduate Researcher. Sama is an undergraduate at MIT, with interests in software development and machine learning. Alumni. Lab roles and post-lab positions are …

Category: Health Go Health

Identifiable Phenotyping using Constrained Non-Negative Matrix

WebThis work proposes a new algorithm for automated and simultaneous phenotyping of multiple co-occurring medical conditions, also referred to as comorbidities, using clinical …

Category: Medical Go Health

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