AIMC Topic: Software Design

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jEcho: an Evolved weight vector to CHaracterize the protein's posttranslational modification mOtifs.

Interdisciplinary sciences, computational life sciences
Protein's posttranslational modification (PTM) represents a major dynamic regulation of protein functions after the translation of polypeptide chains from mRNA molecule. Compared with the costly and labor-intensive wet laboratory characterization of ...

ProCon - PROteomics CONversion tool.

Journal of proteomics
With the growing amount of experimental data produced in proteomics experiments and the requirements/recommendations of journals in the proteomics field to publicly make available data described in papers, a need for long-term storage of proteomics d...

Secure Secondary Use of Clinical Data with Cloud-based NLP Services. Towards a Highly Scalable Research Infrastructure.

Methods of information in medicine
OBJECTIVES: The secondary use of clinical data provides large opportunities for clinical and translational research as well as quality assurance projects. For such purposes, it is necessary to provide a flexible and scalable infrastructure that is co...

Participatory Design for AI-Embedded Artifacts: The Case of ECEB App Design to Fostering Ownership.

Studies in health technology and informatics
AI-embedded artifacts in healthcare settings often perpetuate neocolonialism when designed and implemented without meaningful local participation, particularly in low- and middle-income countries. This paper examines how participatory design (PD) met...

AI in Software Development and Its Potential Influence on Accessibility Compliance.

Studies in health technology and informatics
As artificial intelligence (AI) becomes increasingly integral to various sectors, its potential to enhance accessibility in digital services is of growing interest. This paper explores the influence of AI systems (AIS) on accessibility compliance, sp...

AIPW: An R Package for Augmented Inverse Probability-Weighted Estimation of Average Causal Effects.

American journal of epidemiology
An increasing number of recent studies have suggested that doubly robust estimators with cross-fitting should be used when estimating causal effects with machine learning methods. However, not all existing programs that implement doubly robust estima...

Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic healt...

NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word Embedding.

Computers, informatics, nursing : CIN
This study develops and evaluates an open-source software (called NimbleMiner) that allows clinicians to interact with word embedding models with a goal of creating lexicons of similar terms. As a case study, the system was used to identify similar t...

An Introduction to Machine Learning for Clinicians.

Academic medicine : journal of the Association of American Medical Colleges
The technology at the heart of the most innovative progress in health care artificial intelligence (AI) is in a subdomain called machine learning (ML), which describes the use of software algorithms to identify patterns in very large datasets. ML has...

[Novel Innovation: Can Artificial Intelligence make Rehabilitation more Efficient?].

Laeknabladid
Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportionally the most. It is essential that public spending is efficient without compromising the treatment ...