NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis

This paper offers a systematic method for creating medical knowledge-grounded patient records for use in activities involving differential diagnosis. Additionally, an assessment of machine learning models that can differentiate between various conditions based on given symptoms is also provided. We use a public disease-symptom data source called...

General Aspects of Fractures in Children

A fracture is a partial or complete disruption of the continuity of bone or cartilage, due to mechanical forces exceeding the strength of the bone or cartilage to withstand these forces.Fractures are common in children. In a large Swedish study, the overall annual incidence of fractures in children was 2.1% (2.6 for boys; 1.7 for girls). Most...

Automated Medical History Taking in Primary Care: A Reinforcement Learning Approach

Online searching for healthcare information has gradually become a widely used internet case. Suppose a patient suffers the symptom but is unsure of the action he needs to take, a self-diagnosis tool can help the patient identify the possible conditions and whether this patient needs to seek immediate medical help. However, the accuracy and...

Early detection of exposure to toxic chemicals using continuously recorded multi-sensor physiology

Early detection of exposure to a toxic chemical, e.g., in a military context, can be life-saving. We propose to use machine learning techniques and multiple continuously measured physiological signals to detect exposure, and to identify the chemical agent. Such detection and identification could be used to alert individuals to take...

Multiparametric computer-aided differential diagnosis of Alzheimer’s disease and frontotemporal dementia using structural and advanced MRI

Objectives: To investigate the added diagnostic value of arterial spin labelling (ASL) and diffusion tensor imaging (DTI) to structural MRI for computer-aided classification of Alzheimer's disease (AD), frontotemporal dementia (FTD), and controls. Methods: This retrospective study used MRI data from 24 early-onset AD and 33 early-onset FTD...