A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research
Evolution – removing paper and digitising the hospital
ConclusionStaff members adapt to change at different rates, which are multifactorial in nature. A change of this scale should be monitored closely to allow for a smoother transition and ensure staff burnout is minimised. (Source: Health and Technology)
Source: Health and Technology - February 22, 2023 Category: Information Technology Source Type: research
The use and role of telemedicine in maternal fetal medicine around the world: an up-to-date
ConclusionFurther research is needed, especially in non-developed countries, to comprehend the potential role of telemedicine in MFM for improving the life quality of the patients, health professionals, and to be cost-efficient. (Source: Health and Technology)
Source: Health and Technology - February 21, 2023 Category: Information Technology Source Type: research
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: an exploratory study
ConclusionOur methodology provides an invaluable tool for governments and health decision makers and authorities to obtain a deeper understanding of the dominant public concerns and attitudes, which is vital for understanding, designing and implementing interventions for a global pandemic. (Source: Health and Technology)
Source: Health and Technology - February 21, 2023 Category: Information Technology Source Type: research
The use and role of telemedicine in maternal fetal medicine around the world: an up-to-date
ConclusionFurther research is needed, especially in non-developed countries, to comprehend the potential role of telemedicine in MFM for improving the life quality of the patients, health professionals, and to be cost-efficient. (Source: Health and Technology)
Source: Health and Technology - February 21, 2023 Category: Information Technology Source Type: research
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: an exploratory study
ConclusionOur methodology provides an invaluable tool for governments and health decision makers and authorities to obtain a deeper understanding of the dominant public concerns and attitudes, which is vital for understanding, designing and implementing interventions for a global pandemic. (Source: Health and Technology)
Source: Health and Technology - February 21, 2023 Category: Information Technology Source Type: research
Factors contributing to poor healthcare data quality: qualitative study from Southern Ethiopia
ConclusionStrengthening technical supports like training and mentorship is crucial to familiarize HMIS personnel with the system and address technical gaps. Negligence and low commitment needing administrative responses should be handled accordingly. Insufficient organizational efforts to maintain HMIS data quality and use show the need to advocate HMIS to decision-makers. Finally, in-depth investigation of reasons behind low commitment and political influence is needed to better understand root causes and links. (Source: Health and Technology)
Source: Health and Technology - February 16, 2023 Category: Information Technology Source Type: research
Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records
ConclusionThis study demonstrated that assessing response to anticancer therapy using Japanese EHRs is feasible by interpreting progress notes, radiology reports and Japanese key terms using NLP. (Source: Health and Technology)
Source: Health and Technology - February 16, 2023 Category: Information Technology Source Type: research
Factors contributing to poor healthcare data quality: qualitative study from Southern Ethiopia
ConclusionStrengthening technical supports like training and mentorship is crucial to familiarize HMIS personnel with the system and address technical gaps. Negligence and low commitment needing administrative responses should be handled accordingly. Insufficient organizational efforts to maintain HMIS data quality and use show the need to advocate HMIS to decision-makers. Finally, in-depth investigation of reasons behind low commitment and political influence is needed to better understand root causes and links. (Source: Health and Technology)
Source: Health and Technology - February 16, 2023 Category: Information Technology Source Type: research
Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records
ConclusionThis study demonstrated that assessing response to anticancer therapy using Japanese EHRs is feasible by interpreting progress notes, radiology reports and Japanese key terms using NLP. (Source: Health and Technology)
Source: Health and Technology - February 16, 2023 Category: Information Technology Source Type: research
Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments
ConclusionThe results show that the machine learning model integrated into the CDSS can improve clinicians ’ performance in predicting patients’ quality of life. (Source: Health and Technology)
Source: Health and Technology - February 10, 2023 Category: Information Technology Source Type: research
Survival study on deep learning techniques for IoT enabled smart healthcare system
ConclusionMAR-ERNN performs well in the activity recognition of health status. Collectively, this IoT-enabled smart healthcare system is utilized by enhancing accuracy, and minimizing time and overhead reduction. (Source: Health and Technology)
Source: Health and Technology - February 10, 2023 Category: Information Technology Source Type: research
Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments
ConclusionThe results show that the machine learning model integrated into the CDSS can improve clinicians ’ performance in predicting patients’ quality of life. (Source: Health and Technology)
Source: Health and Technology - February 10, 2023 Category: Information Technology Source Type: research
