AIMC Journal:
Studies in health technology and informatics

Showing 831 to 840 of 1278 articles

Early Nephrosis Detection Based on Deep Learning with Clinical Time-Series Data.

Studies in health technology and informatics
Nephrosis is disease characterized by abnormal protein loss from impaired kidney. We constructed early prediction model using machine learning from clinical time series data, that can predict onset of nephrosis for more than one month. Long short-ter...

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model.

Studies in health technology and informatics
A diagnostic model of general diseases could help general practitioners to decrease misdiagnoses and reduce workload. In this paper, we developed a neural network model that can classify potential diagnoses among 100 selected common diseases based on...

Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT).

Studies in health technology and informatics
The study was to develop the lung cancer patients' prediction model for predicting 5-year survival after completion of treatment by using Machine Learning Technology (MLT), adding patient reporting (PRO) measurements of lung cancer survivors to a var...

Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Studies in health technology and informatics
Advanced chronic kidney disease (CKD) requires routine renal replacement therapy (RRT) that involves hemodialysis (HD) which may cause increased risk of muscle spasms, cardiovascular events, and death. We used Artificial Neural Network (ANN) method t...

An Improvised Classification Model for Predicting Delirium.

Studies in health technology and informatics
With the vast increase of digital healthcare data, there is an opportunity to mine the data for understanding inherent health patterns. Although machine-learning techniques demonstrated their applications in healthcare to answer several questions, th...

Do You Need Embeddings Trained on a Massive Specialized Corpus for Your Clinical Natural Language Processing Task?

Studies in health technology and informatics
We explore the impact of data source on word representations for different NLP tasks in the clinical domain in French (natural language understanding and text classification). We compared word embeddings (Fasttext) and language models (ELMo), learned...

Unsupervised Phrase-Level Query Rewriting for Assisting Search in Clinical Free Text.

Studies in health technology and informatics
We report on the pilot evaluation of an experimental query-based search functionality that enables phrase-level query rewriting in an unsupervised way. It is intended for supporting search in clinical text. Qualitative evaluation is done by three cli...

Recovery Medication from Free Text to a Structured Form.

Studies in health technology and informatics
We studied methods to convert medical prescriptions in free text to a structured form for pharmacy insructions and planning nursing activities in hospitalized patients. We compared Natural Language Processing (NLP) with Parsing Process (PP), both for...

Medical Equipment Replacement Prioritisation: A Comparison Between Linear and Fuzzy System Models.

Studies in health technology and informatics
In hospital management, health technology assessment techniques are being increasingly developed. This paper presents a comparison of the results obtained using two models for replacement priority value calculation applied to the Galliera hospital in...

Characterizing the Scope of Exposome Research Through Topic Modeling and Ontology Analysis.

Studies in health technology and informatics
Exposomics is a field of research which is receiving growing attention. In this work, we characterize the exposome research landscape and update our previous study of formal knowledge representation approaches to this field. We applied a deductive an...