AIMC Topic: Diagnosis
Clear Filters Showing 11 to 20 of 43 articles
Improving the accuracy of medical diagnosis with causal machine learning.
Nature communications
Aug 11, 2020
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis...
Trust in artificial intelligence for medical diagnoses.
Progress in brain research
Jul 2, 2020
We present two online experiments investigating trust in artificial intelligence (AI) as a primary and secondary medical diagnosis tool and one experiment testing two methods to increase trust in AI. Participants in Experiment 1 read hypothetical sce...
Oral microbiome-systemic link studies: perspectives on current limitations and future artificial intelligence-based approaches.
Critical reviews in microbiology
May 21, 2020
In the past decade, there has been a tremendous increase in studies on the link between oral microbiome and systemic diseases. However, variations in study design and confounding variables across studies often lead to inconsistent observations. In th...
Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification.
Clinical epigenetics
Apr 3, 2020
BACKGROUND: Machine learning is a sub-field of artificial intelligence, which utilises large data sets to make predictions for future events. Although most algorithms used in machine learning were developed as far back as the 1950s, the advent of big...
Enabling Technologies for Personalized and Precision Medicine.
Trends in biotechnology
Jan 21, 2020
Individualizing patient treatment is a core objective of the medical field. Reaching this objective has been elusive owing to the complex set of factors contributing to both disease and health; many factors, from genes to proteins, remain unknown in ...
On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records.
IEEE journal of biomedical and health informatics
Dec 24, 2019
Healthcare process leaves patient treatment trajectory (PTT), described as a sequence of interdependent clinical events affiliated with a large volume of longitudinal therapy and treatment information. Predicting the future clinical event in PTT, as ...
The application of machine learning to disease diagnosis and treatment.
Mathematical biosciences
Dec 16, 2019
Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Disease-symptom relation is an important biomedical relation that can be used for clinical decision support including building medical diagnostic systems. Here we present a study on mining disease-symptom relation from massive biomedical literature a...
Network-based analysis of diagnosis progression patterns using claims data.
Scientific reports
Nov 14, 2017
In recent years, several network models have been introduced to elucidate the relationships between diseases. However, important risk factors that contribute to many human diseases, such as age, gender and prior diagnoses, have not been considered in...
An inference method from multi-layered structure of biomedical data.
BMC medical informatics and decision making
May 18, 2017
BACKGROUND: Biological system is a multi-layered structure of omics with genome, epigenome, transcriptome, metabolome, proteome, etc., and can be further stretched to clinical/medical layers such as diseasome, drugs, and symptoms. One advantage of om...
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