Characteristics, utilization of reproductive health services and AI prediction among Taiwanese adolescent mothers during the COVID-19 pandemic.

Background: Although adolescent birth rates have declined globally, the sexual and reproductive health of adolescent mothers remains an area of specific concern, and these were impacted by the COVID-19 pandemic. This study investigates characteristics, utilization of reproductive health services (RHS) and artificial intelligence (AI) prediction during the pandemic.

Methods: We conducted an exploratory study using data for 2020-2022 from the Taipei City Government Health Bureau.

Effectiveness of Mobile Application Disease Self-Management Programme on Mental Health and Self-Management of Patients With Hypertension: A Randomised Controlled Trial.

Background: Hypertension is a chronic disease that consumes considerable medical resources.

Aim: The aim of this study is to evaluate a model able to develop and assess the effectiveness of a mobile application disease self-management programme regarding mental health and self-management for patients with hypertension.

Methods: A randomised controlled trial and single-blind random assignment was employed to group the participants.

Design and Development of an Interactive Assessment Application for the Observation of Heart Failure Self-Health Management.

Heart disease can lead to physical disability and mortality, ranking second among the top 10 causes of death according to the Ministry of Health and Welfare. This study aims to examine the impact of the interactive assessment application on patients' public health knowledge. In this study, a single-group pretest and posttest experimental design was adopted.

Enhancing Citizen Health Literacy Through Digital Technology.

Contemporary society faces significant public health challenges with prevalent unhealthy behaviors and environmental risks leading non-communicable diseases. This study assesses health awareness campaigns'to effectiveness in a specific Taiwanese municipality, focusing on the impact of a health care management system. Objectives include enhancing public health literacy and evaluating community health promotion.

Applying Artificial Intelligence Constructing a Prediction Model Related to Environmental Hormones and Breast Cancer Incidence.

Breast cancer is the second leading cause of death in the world and the age of diagnosis is younger and younger. The research is aimed to make a prediction model related to environmental hormones and breast cancer incidence. First, we analyzed lab data to figure out the risk factor of breast cancer.

Diagnostic Yield and Model Prediction Using Wearable Patch Device in HFpEF.

Heart failure (HF) is a prevalent global health issue projected to escalate, notably in aging populations. The study aimed to identify predictive markers for Heart Failure with preserved Ejection Fraction (HFpEF). We scrutinized vital parameters like age, BMI, eGFR, and comorbidities like atrial fibrillation, coronary artery disease (CAD), diabetes mellites (DM).

Applying machine learning to construct an association model for lung cancer and environmental hormone high-risk factors and nursing assessment reconstruction.

Introduction: To utilize machine learning techniques to develop an association model linking lung cancer and environmental hormones to enhance the understanding of potential lung cancer risk factors and refine current nursing assessments for lung cancer.

Design: This study is exploratory in nature. In Stage 1, data were sourced from a biological database, and machine learning methods, including logistic regression and neural-like networks, were employed to construct an association model.

The development and impact of an app for a smart drug interaction reminder system.

Background: Improved access to media and medical knowledge has elicited stronger public health awareness.

Objective: This study developed a smart drug interaction reminder system for patients to increase knowledge and reduce nurse workload.

Methods: This study used a single-group pre-test/post-test design and applied mining techniques to analyze the weight and probability of interaction among various medicines.

Application of machine learning and its effects on the development of a nursing guidance mobile app for sarcopenia.

Background: Aging leads to changes in the body system, such as sarcopenia. This can result in several health issues, particularly physical and mobility dysfunction. Asian people typically have little awareness of sarcopenia.

Sex Differences between Urinary Phthalate Metabolites and Metabolic Syndrome in Adults: A Cross-Sectional Taiwan Biobank Study.

Background: Phthalates are widely used in consumer products, food packaging, and personal care products, so exposure is widespread. Several studies have investigated the association of phthalate exposure with obesity, insulin resistance, and hypertension. However, little is known about the associations of phthalate exposure with sex, age, and menopausal status in metabolic syndrome (MetS).

An Analysis of Waiting Time for Emergency Treatment and Optimal Allocation of Nursing Manpower.

Objective: Emergency care is the frontline of the healthcare system. Taiwanese typically seek emergency care when suffering from an acute or unknown illness, which leads to a large number of emergency patients and the related misallocation of nursing manpower, and the excessive workloads of emergency service providers have become serious issues for Taiwan's medical institutions.

Participants: This study conducted purposive sampling and recruited patients and nursing staffs from the emergency room of a medical center in New Taipei City as the research participants.

[The Mindset and Realization of Precision Care Provided by the Science of Ambient-Assisted Living].

Smart care has become a trend in care institutions and households in recent years. Ambient-assisted living (AAL) has been a topic of increased academic interest over the past decade in line with societal aging and the proliferation of internet and mobile technologies. At the extreme end of AAL is "over-science", a situation in which human functions are over replaced by scientific technologies.

Application of Machine Learning in Developing Decision-Making Support Models for Decompressed Vertebroplasty.

Background: The common treatment methods for vertebral compression fractures with osteoporosis are vertebroplasty and kyphoplasty, and the result of the operation may be related to the value of various measurement data during the operation.

Material And Method: This study mainly uses machine learning algorithms, including Bayesian networks, neural networks, and discriminant analysis, to predict the effects of different decompression vertebroplasty methods on preoperative symptoms and changes in vital signs and oxygen saturation in intraoperative measurement data.

Result: The neural network shows better analysis results, and the area under the curve is >0.

The effect of medical material management system app on nursing workload and stress.

Aims: To develop a clinical medical material management App for nurses, in order to reduce their workload and improve the efficacy of medical material management.

Design: The single-group pre- and post-test experimental design was adopted.

Methods: The subjects were nurses in the intensive care units of a regional hospital in Hsinchu City enrolled by purposive sampling.

The impact of a multilevel interactive nursing quality control and audit application on nursing quality management.

Background: This study aims to investigate the effects of a nursing quality control and audit application (app) on the autonomous learning of nursing staff and nursing quality management by nursing supervisors. A multilevel interactive app is developed to assist nursing staff in conducting online autonomous learning and nursing supervisors in identifying problems and creating nursing quality improvement plans. The app could also present the different evaluation results of wards in visual charts for supervisors to review.

Comparison of different predicting models to assist the diagnosis of spinal lesions.

In neurosurgical or orthopedic clinics, the differential diagnosis of lower back pain is often time-consuming and costly. This is especially true when there are several candidate diagnoses with similar symptoms that might confuse clinic physicians. Therefore, methods for the efficient differential diagnosis can help physicians to implement the most appropriate treatment and achieve the goal of pain reduction for their patients.

Application of Artificial Intelligence in the Establishment of an Association Model between Metabolic Syndrome, TCM Constitution, and the Guidance of Medicated Diet Care.

Background: This study conducted exploratory research using artificial intelligence methods. The main purpose of this study is to establish an association model between metabolic syndrome and the TCM (traditional Chinese medicine) constitution using the characteristics of individual physical examination data and to provide guidance for medicated diet care.

Methods: Basic demographic and laboratory data were collected from a regional hospital health examination database in northern Taiwan, and artificial intelligence algorithms, such as logistic regression, Bayesian network, and decision tree, were used to analyze and construct the association model between metabolic syndrome and the TCM constitution.

Effects of mobile health on HIV risk reduction for men who have sex with men.

Mobile health (M-Health) has become a novel method for HIV prevention and the effects need to be promoted. The study purpose was to exam how a smartphone application (app) reduces HIV risky behaviour in men who have sex with men (MSM). The Safe Behaviour and Screening (SBS) app was developed, and included five features: record, output, and resources connection; information provision; testing services; interaction; and online statistics.

Predicting Long-Term Mortality with Biomarkers Level for Homecare Patients.

Electronic health record (EHR) systems have been used widely in research. However, most of the EHRs are highly dimensional and it is challenging to analyze such large data set. Bioinformatics is an interdisciplinary science with a focus on data management and interpretation for complex biological phenomena.

Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan.

This study applied artificial intelligence to help nurses address problems and receive instructions through information technology. Nurses make diagnoses according to professional knowledge, clinical experience, and even instinct. Without comprehensive knowledge and thinking, diagnostic accuracy can be compromised and decisions may be delayed.

Exploration and forecasting of behaviours and factors relating to fruit and vegetable intake among seniors in the community.

Objective: The present study investigated the current status of fruit and vegetable intake among seniors and assessed the relationship between personal background factors, social psychological factors and environmental factors of the study participants and their fruit and vegetable consumption behaviour.

Design: Research data were collected through individual interviews using a questionnaire developed by the authors. SPSS for Windows 15·0 statistical software was used to process and analyse the data.

Evaluation of the mining techniques in constructing a traditional Chinese-language nursing recording system.

In 2009, the Department of Health, part of Taiwan's Executive Yuan, announced the advent of electronic medical records to reduce medical expenses and facilitate the international exchange of medical record information. An information technology platform for nursing records in medical institutions was then quickly established, which improved nursing information systems and electronic databases. The purpose of the present study was to explore the usability of the data mining techniques to enhance completeness and ensure consistency of nursing records in the database system.

Decompressed percutaneous vertebroplasty: a secured bone cement delivery procedure for vertebral augmentation in osteoporotic compression fractures.

Unlabelled: The purpose of this study was to assess the efficacy of a new assistive procedure for injecting cement in percutaneous vertebroplasty (PV). Percutaneous vertebroplasty is frequently used for treating patients with osteoporotic vertebral compression fractures. However, the leakage of bone cement during PV may lead to serious complications, such as spinal cord compression or pulmonary embolism.