A pre-processing tool to increase performance of deep learning-based CAD in digital breast Tomosynthesis
ConclusionsDifferent deep learning-based CAD proved a significant reliability increase in breast cancer prediction, when trained and tested on images pre-processed with the proposed DBIT. (Source: Health and Technology)
Source: Health and Technology - December 10, 2023 Category: Information Technology Source Type: research
Developing policy-ready digital dashboards of geospatial access to emergency obstetric care: a survey of policymakers and researchers in sub-Saharan Africa
ConclusionThis study provides key considerations for developing a policy-ready dashboard for EmOC geographical accessibility in SSA. Efforts should now be targeted at establishing robust estimation of geographical accessibility metrics, integrated with existing health system data, and developing and maintaining the dashboard with up-to-date data to maximise impact in these settings. (Source: Health and Technology)
Source: Health and Technology - December 7, 2023 Category: Information Technology Source Type: research
Sensing health: a bibliometric analysis of wearable sensors in healthcare
ConclusionsWearable sensor research has rapidly expanded, led by technology-focused countries and institutions. While engineering innovation continues, interdisciplinary expansion is underway. Initial exploratory focus has progressed to health monitoring applications and clinical translation. However, technology readiness has outpaced clinical validation and real-world viability assessments. Strategic partnerships between technical and clinical stakeholders are vital to translate wearable sensors from bench to bedside. This bibliometric analysis provides a research landscape overview to guide future inquiry and stakeholder...
Source: Health and Technology - December 6, 2023 Category: Information Technology Source Type: research
An artificial intelligent network model to monitor the condition of a patient with a breast tumor based on fuzzy logic
ConclusionsIn this article, an intelligent network is proposed for monitoring breast cancer patients. The intelligent network has an OODA loop for monitoring and controlling the patient. The OODA loop includes observation, analysis, decision, and action, making it a continuous and ever-changing process. In order to expand the OODA loop for better control and monitoring of the patient, we have extended the"observation" and"orientation" phases of the process.The observation method is determined based on the type of data and the network structure. Another method is the directionality, which is determined b...
Source: Health and Technology - December 6, 2023 Category: Information Technology Source Type: research
Sensing health: a bibliometric analysis of wearable sensors in healthcare
ConclusionsWearable sensor research has rapidly expanded, led by technology-focused countries and institutions. While engineering innovation continues, interdisciplinary expansion is underway. Initial exploratory focus has progressed to health monitoring applications and clinical translation. However, technology readiness has outpaced clinical validation and real-world viability assessments. Strategic partnerships between technical and clinical stakeholders are vital to translate wearable sensors from bench to bedside. This bibliometric analysis provides a research landscape overview to guide future inquiry and stakeholder...
Source: Health and Technology - December 6, 2023 Category: Information Technology Source Type: research
An artificial intelligent network model to monitor the condition of a patient with a breast tumor based on fuzzy logic
ConclusionsIn this article, an intelligent network is proposed for monitoring breast cancer patients. The intelligent network has an OODA loop for monitoring and controlling the patient. The OODA loop includes observation, analysis, decision, and action, making it a continuous and ever-changing process. In order to expand the OODA loop for better control and monitoring of the patient, we have extended the"observation" and"orientation" phases of the process.The observation method is determined based on the type of data and the network structure. Another method is the directionality, which is determined b...
Source: Health and Technology - December 6, 2023 Category: Information Technology Source Type: research
Of digital transformation in the healthcare (systematic review of the current state of the literature)
ConclusionThis SLR has presented various applications of blockchain, EMRs, AI, robotics, telemedicine, etc. in the HC and how they are transforming and improving patient care delivery, increasing efficiency, disease monitoring and management, and expatiate on the organizational, technological, human, and economic factors as the main rationales behind HC reluctance to adopting DT despite the aforementioned benefits. Future research may investigate issues concerning data security, knowledge, skills, culture, and policy transformation of HC organizations to promote wider acceptance and adoption of DT in this sector. (Source: ...
Source: Health and Technology - December 5, 2023 Category: Information Technology Source Type: research
Comparative analysis of machine learning and ensemble approaches for hepatitis B prediction using data mining with synthetic minority oversampling technique
ConclusionThe study underscores the potential of the ensemble model as a valuable tool for medical practitioners, leveraging cost-effective and readily obtainable laboratory test data to predict Hepatitis B with remarkable accuracy. By facilitating early diagnosis and intervention, this research presents a promising avenue to enhance patient outcomes in the context of Hepatitis B. (Source: Health and Technology)
Source: Health and Technology - November 29, 2023 Category: Information Technology Source Type: research
Explainability analysis in predictive models based on machine learning techniques on the risk of hospital readmissions
ConclusionsAccording to the results of the explanations generated by the best predictive models, LGBM-based predictive model presents more stable variables. Thus, it generates greater confidence in the explanations it provides. (Source: Health and Technology)
Source: Health and Technology - November 28, 2023 Category: Information Technology Source Type: research
Data management for resource optimization in medical IoT
ConclusionIn existing literature major work has been done on optimizing medical IoT resources via resource management approaches like task scheduling, resource allocation, virtualization etc., with a little focus on data. As data is central to all medical IoT applications, so proper data management can lead to better resource optimization in medical IoT. In this paper, the parameters and resource identification using mathematical formulation has been done to augment proposed model of resource optimization. (Source: Health and Technology)
Source: Health and Technology - November 28, 2023 Category: Information Technology Source Type: research
