Evaluating a Natural Language Processing-Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study.

Background: International Classification of Diseases codes are widely used to describe diagnosis information, but manual coding relies heavily on human interpretation, which can be expensive, time consuming, and prone to errors. With the transition from the International Classification of Diseases, Ninth Revision, to the International Classification of Diseases, Tenth Revision (ICD-10), the coding process has become more complex, highlighting the need for automated approaches to enhance coding efficiency and accuracy. Inaccurate coding can result in substantial financial losses for hospitals, and a precise assessment of outcomes generated by a natural language processing (NLP)-driven autocoding system thus assumes a critical role in safeguarding the accuracy of the Taiwan diagnosis related groups (Tw-DRGs).

When Does Da Vanci Robotic Surgical Systems Come Into Play?

The emergent of medical science and technology has risen the minimally invasive surgery. Da Vinci Robotic Surgical Systems (RSS) is the trend at present. Compared with the past surgical methods, many studies related to RSS tend to explore postoperative outcomes and quality of life or compare the advantages and disadvantages than the other surgery.

Associations between Sex and Risk Factors for Predicting Chronic Kidney Disease.

Gender is an important risk factor in predicting chronic kidney disease (CKD); however, it is under-researched. The purpose of this study was to examine whether gender differences affect the risk factors of early CKD prediction. This study used data from 19,270 adult health screenings, including 5101 with CKD, to screen for 11 independent variables selected as risk factors and to test for the significant effects of statistical Chi-square test variables, using seven machine learning techniques to train the predictive models.

The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception.

Healthy aging is a new challenge for the world. Therefore, health literacy education is a key issue in the current health care field. This research has developed a robot-assisted learning system to explore the possibility of significantly improving health literacy and learning perception through interaction with robots.

Exploration of Preventable Hospitalizations for Colorectal Cancer with the National Cancer Control Program in Taiwan.

Background: Causing more than 40,000 deaths each year, cancer is one of the leading causes of mortality and preventable hospitalizations (PH) in Taiwan. To reduce the incidence and severity of cancer, the National Cancer Control Program (NCCP) includes screening for various types of cancer. A cohort study was conducted to explore the long-term trends in PH/person-years following NCCP intervention from 1997 to 2013.

Evaluation of the Organotellurium Compound AS101 for Treating Colistin- and Carbapenem-Resistant .

Colistin- and carbapenem-resistant cases are increasing at alarming rates worldwide. Drug repurposing is receiving greater attention as an alternative approach in light of economic and technical barriers in antibiotics research. The immunomodulation agent ammonium trichloro(dioxoethylene-,'-)tellurate (AS101) was repurposed as an antimicrobial agent against colistin- and carbapenem-resistant (CRKP).

Exploring Factors Surrounding Students' Entrepreneurial Intentions in Medical Informatics: The Theory of Planning Behavior Perspective.

The implementation of entrepreneurship and innovation within the health informatics scientific community is comparatively sluggish when compared to other disciplines such as computer science and engineering. The purpose of this paper is to explore the cognitive processes involved in developing intentions to endorse entrepreneurial behaviors via discovering entrepreneurial awareness as a significant influence on an individual's intentions to identify and adventure market opportunities. In this conceptual paper, insights from Ajzen's Theory of Planning Behavior (TPB) coupled with self-efficacy beliefs are utilized to develop hypotheses from our research questions.

Health-Related Quality of Life and Medical Resource Use in Patients with Osteoporosis and Depression: A Cross-Sectional Analysis from the National Health and Nutrition Examination Survey.

: Patients with either osteoporosis or depression are prone to develop other diseases and require more medical resources than do the general population. However, there are no studies on health-related quality of life (HRQoL) and medical resource use by osteoporosis patients with comorbid depression. We conducted this study for clarifying it.

Development and Evaluation of Affective Domain Using Student's Feedback in Entrepreneurial Massive Open Online Courses.

Entrepreneurship education is a very important issue in the digital age. It aims to enable learners and society to respond to emergent economic and employment challenges. When entrepreneurs struggle to launch and sustain a new venture, the key question usually is not a lack of relevant knowledge, but the necessary fortitude and attitude to face down difficulties and challenges.

Epidemiology of cancer in end-stage renal disease dialysis patients: a national cohort study in Taiwan.

The incidence and mortality of site-specific cancers in patients with end-stage renal disease (ESRD) on maintenance dialysis have been rarely studied for Asian populations. We tapped Taiwan`s National Health Insurance Research Database to identify and recruit patients starting maintenance dialysis between 1999 and 2004. They were followed from initiation of dialysis until death, discontinuation of dialysis, or the end of 2008.

Patient assessment of diabetes care in a pay-for-performance program.

Objective: Few studies address quality of care in pay-for-performance (P4P) programs from the perspective of patients' perceptions. This study aimed to examine and compare the patient assessment of diabetes chronic care as perceived by diabetic patients enrolled and not enrolled in a P4P program from the patients' self-reported perspectives.

Design: A cross-sectional study with case and comparison group design.

Cloud-Based Service Information System for Evaluating Quality of Life after Breast Cancer Surgery.

Objective: Although recent studies have improved understanding of quality of life (QOL) outcomes of breast conserving surgery, few have used longitudinal data for more than two time points, and few have examined predictors of QOL over two years. Additionally, the longitudinal data analyses in such studies rarely apply the appropriate statistical methodology to control for censoring and inter-correlations arising from repeated measures obtained from the same patient pool. This study evaluated an internet-based system for measuring longitudinal changes in QOL and developed a cloud-based system for managing patients after breast conserving surgery.

Cost-Effectiveness of a Diabetes Pay-For-Performance Program in Diabetes Patients with Multiple Chronic Conditions.

Pay for performance (P4P) has been used as a strategy to improve quality for patients with chronic illness. Little was known whether care provided to individuals with multiple chronic conditions in a P4P program were cost-effective. This study investigated cost effectiveness of a diabetes P4P program for caring patients with diabetes alone (DM alone) and diabetes with comorbid hypertension and hyperlipidemia (DMHH) from a single payer perspective in Taiwan.

Cost trend analysis of initial cancer treatment in Taiwan.

Background: Despite the high cost of initial cancer care, that is, care in the first year after diagnosis, limited information is available for specific categories of cancer-related costs, especially costs for specific services. This study purposed to identify causes of change in cancer treatment costs over time and to perform trend analyses of the percentage of cancer patients who had received a specific treatment type and the mean cost of care for patients who had received that treatment.

Methodology/principal Findings: The analysis of trends in initial treatment costs focused on cancer-related surgery, chemotherapy, radiation therapy, and treatments other than active treatments.

Leuconostoc mesenteroides growth in food products: prediction and sensitivity analysis by adaptive-network-based fuzzy inference systems.

Background: An adaptive-network-based fuzzy inference system (ANFIS) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature (10.5 to 24.5°C), pH level (5.

Comparison of classification algorithms with wrapper-based feature selection for predicting osteoporosis outcome based on genetic factors in a taiwanese women population.

An essential task in a genomic analysis of a human disease is limiting the number of strongly associated genes when studying susceptibility to the disease. The goal of this study was to compare computational tools with and without feature selection for predicting osteoporosis outcome in Taiwanese women based on genetic factors such as single nucleotide polymorphisms (SNPs). To elucidate relationships between osteoporosis and SNPs in this population, three classification algorithms were applied: multilayer feedforward neural network (MFNN), naive Bayes, and logistic regression.

Predicting quality of life after breast cancer surgery using ANN-based models: performance comparison with MR.

Purpose: The goal was to develop models for predicting long-term quality of life (QOL) after breast cancer surgery.

Methods: Data were obtained from 203 breast cancer patients who completed the SF-36 health survey before and 2 years after surgery. Two of the models used to predict QOL after surgery were artificial neural networks (ANNs), which included one multilayer perceptron (MLP) network and one radial basis function (RBF) network.

A population-based study of prevalence and hospital charges in total hip and knee replacement.

The purpose of this study was to explore the increasing prevalence of factors affecting hospital charges for primary total hip replacement/total knee replacement (THR/TKR). This study analysed 37,918 THR and 76,727 TKR procedures performed in Taiwan from 1996 to 2004. Odds ratio (OR) and effect size (ES) were calculated to assess the relative change rate.