Academic Articles & Research Papers

A STUDY ON MEDICAL INFORMATICS

Medical informatics, a rapidly evolving field, plays a pivotal role in improving healthcare delivery, patient outcomes, and the overall healthcare system. This abstract provides an overview of the key concepts, applications, and impacts of ...

Software Engineering in Medical Informatics

This study presents a systematic literature review to provide overall view of the application of Software Engineering (SE) in Medical Informatics (MI) field. Articles published from 2010 to 2019 from seven selected databases (Emerald, PubMe...

Medical Informatics

Information services, medical decision support systems and telemedicine are becoming important tools for medical professionals and also people who are interested in health related information. Medical decision support aims at providing heal...

Medical Informatics: Computer Applications in Health Care.

Shortliffe's long involvement with the field now called medical informatics has provided him with the background necessary to pro- duce a book such as this one.His many qualifications include the following: he is a professor of med- icine a...

Medical Informatics

Description Logics and related formalisms are being applied in at least five applications in medical informatics – terminology, intelligent user interfaces, decision support and semantic indexing, language technology, and systems integratio...

The Structure of Medical Informatics Journal Literature

OBJECTIVE: Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of t...

Medical Imaging Informatics and Medical Informatics: Opportunities and Constraints

OBJECTIVES: The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of recent excellent papers on medical informatics research (http://www.yearbook.uni-h...

i-MoMCARE: AI-enabled mobile app for maternal and child health care in Cambodia – a pilot implementation and evaluation study

Objectives In Cambodia, village health support groups (VHSGs) are central to maternal and child health (MCH) service delivery, yet maternal mortality remains high with regional disparities. Although digital health solutions show promise, th...

Handbook of Medical Informatics

Data Processing.- Database Management.- Telecommunication, Networking, and Integration.- Coding and Classification.- The Patient Record.- Biosignal Analysis.- Medical Imaging.- Image Processing and Analysis.- Primary Care.- Clinical Departm...

Medical informatics

Description Logics and related formalisms are being applied in at least five applications in medical informatics - terminology, intelligent user interfaces, decision support and indexing, technology, and systems integration. Important issue...

Effectiveness of an electronic clinical decision support system in improving the management of childhood illness in primary care in rural Nigeria: an observational study

Objectives To evaluate the impact of ALgorithm for the MANAgement of CHildhood illness (‘ALMANACH’), a digital clinical decision support system (CDSS) based on the Integrated Management of Childhood Illness, on health and quality of care ou...

Protocol for a mixed methods process evaluation for a randomised controlled trial to improve shared decision-making about, and uptake of, osteoporosis medicines: the iFraP study [version 3; peer review: 2 approved, 1 approved with reservations]

Background High quality shared decision-making (SDM) conversations involve people with or at risk of osteoporosis and clinicians working together to decide, where appropriate, which evidence-based medicines best fit the person’s life, belie...

Artificial Neural Networks in Medical Diagnosis

Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied. The first one is acute nephritis disease; da...

Bankruptcy prediction using neural networks

A Model to Predict Heart Disease Treatment Using Data Mining

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side ...

The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil

The inter-cities mobility network is of great importance in understanding outbreaks, especially in Brazil, a continental-dimension country. We adopt the data from the Brazilian Ministry of Health and the terrestrial flow of people between c...

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...

Development and evaluation of Retrieval-Augmented Generation (RAG) and GraphRAG for guideline-based clinical decision support in chronic kidney disease.

Construction and practice of an intelligent management system for preoperative anemia based on multidisciplinary collaboration

[Objective] To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. [Methods] A multidisciplinary collaborative model...

What can natural language processing do for clinical decision support?