Informatics and Technology in Clinical Care and Public Health.

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Bibliographic Details
Superior document:Studies in Health Technology and Informatics Series ; v.289
:
TeilnehmendeR:
Place / Publishing House:Amsterdam : : IOS Press, Incorporated,, 2022.
Ã2022.
Year of Publication:2022
Edition:1st ed.
Language:English
Series:Studies in Health Technology and Informatics Series
Online Access:
Physical Description:1 online resource (540 pages)
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Table of Contents:
  • Intro
  • Title Page
  • Preface
  • ICIMTH 2021 Scientific Programme Committee and Reviewers
  • Contents
  • Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers
  • A Comparison of Word Embeddings to Study Complications in Neurosurgery
  • Gulf Cooperation Council Clinical Trials in the Pursuit of Medications for COVID-19
  • Hazards for the Implementation and Use of Artificial Intelligence Enabled Digital Health Interventions, a UK Perspective
  • An Evaluation of Pretrained BERT Models for Comparing Semantic Similarity Across Unstructured Clinical Trial Texts
  • AI Enhanced Person-Centred Care Services for Monitoring Stroke Outpatient Rehabilitation
  • FAIR and Quality Assured Data - The Use Case of Trueness
  • Using Machine Learning to Improve Personalised Prediction: A Data-Driven Approach to Segment and Stratify Populations for Healthcare
  • Prediction of Postoperative Speech Dysfunction Based on Cortico-Cortical Evoked Potentials and Machine Learning
  • Early Prediction of Neoplasms Using Machine Learning: A Study of Electronic Health Records from the Ministry of National Guard Health Affairs in Saudi Arabia
  • Medical Informatics in a Tension Between Black-Box AI and Trust
  • Development of an Expert Knowledge-Based Genomic Variant Prioritisation Platform
  • Pro-Active Detection of Potentially Wrong Diagnoses Due to Substantial Changes of Laboratory Measurements
  • The Clinical and Biochemical Parameter Data: Effect of High Blood Glucose on Diabetic Nephropathy Among Non-Insulin-Dependent Diabetes Mellitus (NIDDM), Thailand
  • Public Sentiment Towards Vaccination After COVID-19 Outbreak in the Arab World.
  • ABiMed: Towards an Innovative Clinical Decision Support System for Medication Reviews and Polypharmacy Management
  • Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns
  • Semiautomatic Identification of Pulmonary Embolism in Electronic Health Records Through Sentence Labeling
  • Utilizing Shared Big Data to Identify Liver Cancer Dedifferentiation Markers
  • ALLD: Acute Lymphoblastic Leukemia Detector
  • Application of Natural Language Processing to Learn Insights on the Clinician's Lived Experience of Electronic Health Records
  • Healthcare Professionals' Perceptions and Opinions on "Do not Attempt Resuscitation" (DNAR) Order and Documentation
  • A Framework for User-Configurable Data Quality Assurance of Electronic Patient Records
  • Predicting the Risk Factors of Second Primary Cancer in Patients with Hepatocellular Carcinoma
  • A Deep Learning Program to Predict Acute Kidney Injury
  • Designing an Electronic Shared Care Plan to Enable Person-Centred, Team-Based Home Care
  • Reviewing and Content Analysis of Persian Language Mobile Health Apps for COVID-19 Management
  • Mobile-Based Self-Care Application for COVID-19: Development Process Using the ADDIE Model
  • Minimization of the Drug and Gene Interactions in Polypharmacy Therapies Augmented with COVID-19 Medications
  • Introduction of the EU Digital COVID Certificate in Slovenia: Technological and Process Aspects
  • Latent COVID-19 Clusters in Patients with Opioid Misuse
  • Smartphone-Based Healthcare Apps for Older Adults in the COVID-19 Era: Heuristic Evaluation
  • A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods
  • Factors for Individualization of Therapeutic Exercises for the Design of Health-Enabling Technologies
  • Intellicor: Mobile Design for Monitoring Phonographic Signals.
  • Design and Implementation of a Computerized Management System for Adverse Drug Reactions at the Souro SANOU University Hospital (CHUSS) in Bobo-Dioulasso, Burkina Faso
  • Implementation of a Monitoring System for Pregnancy by Tele-Ultrasound in an African Context (Burkina Faso)
  • Mobile Monitoring of Diabetic Patients in the Active File of the Medical Center of Do (Burkina Faso)
  • Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations
  • Drawing on the Doctor-Patient Relationship in e-Health Services
  • Tracking Activities of Daily Living in the Home Office
  • Developing an Ontology for Documenting Adverse Events While Avoiding Pitfalls
  • Analyzing Topics and Sentiments from Twitter to Gain Insights to Refine Interventions for Family Caregivers of Persons with Alzheimer's Disease and Related Dementias (ADRD) During COVID-19 Pandemic
  • Identification of COVID-19 Vaccines Concerns in Health-Related French Web Forums: A Topic Modelling Approach
  • MDA Framework for FAIR Principles
  • Students' Satisfaction and e-Learning Courses in Covid-19 Pandemic Era: A Case Study
  • Cultural Adaptation and Piloting of iSupport Dementia in Greece
  • Continuing Education of Nurses in Patient Handovers: Development and Evaluation of a Digitally Enabled Problem-Based Learning Course
  • Multilingual Approach to COVID-19 Online Learning Response on OpenWHO.org
  • Could Linguistic Complexity Be Automatically Evaluated? A Multilingual Study on WHO's Emergency Learning Platform
  • User-Based Evaluation of a Data-Driven Medical Education Platform
  • Sharing the IT Educational Experience of Developing 3D Applications for Medical Students Training
  • Artificial Intelligence in Primary Care: An Overview.
  • Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers
  • Effectively Detecting Left Bundle Branch Block False Defects in Myocardial Perfusion Imaging (MPI) with a Convolutional Neural Network (CNN)
  • Usability of Venous Thromboembolism Prophylaxis Recommender System: A Pilot Study
  • Development of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine
  • Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data
  • Applying Social Network Analysis to Compare Dementia Caregiving Networks on Twitter in Hispanic and Black Communities
  • The Biopsychosocial Actor in the Contexts of Health and Human Services Informatics
  • Towards Harmonized Data Quality in the Medical Informatics Initiative - Current State and Future Directions
  • The Linkage Between Bone Densitometry and Cardiovascular Disease
  • Radiotherapy Information System in Cancer Treatment Improvement: A Case Study at the Brazilian National Cancer Institute
  • eHealth Literacy Among Health Sciences Students in Greece
  • Trust in E-Health System and Willingness to Share Personal Health Data
  • Assisting Data Retrieval with a Drug Knowledge Graph
  • Artificial Intelligence Models for Heart Chambers Segmentation from 2D Echocardiographic Images: A Scoping Review
  • Recent Developments in Artificial Intelligence-Based Techniques for Prostate Cancer Detection: A Scoping Review
  • Findings from a Panel Discussion on Evaluation Methods in Medical Informatics
  • The Effect of Short Messaging System-Based Feedback on Physicians' Head CT Scan Ordering Behavior in Neurology and Neurosurgery Departments
  • Evaluative Frameworks and Models for Health Information Systems (HIS) and Health Information Technologies (HIT).
  • CARE REGIO - Digital Transformation and Technology in Nursing Care
  • Description of a Digital Health Platform for Emotional and Self-Management Support of Caregivers of Children Receiving Growth Hormone Treatment
  • Clinical Notes De-Identification: Scoping Recent Benchmarks for n2c2 Datasets
  • Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach
  • Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration
  • Effects of Computer-Aided Decision Support Systems on Appropriate Antibiotic Prescribing by Medical Interns: A Quasi-Experimental Study
  • Remote AI Supported E-Multidisciplinary Oncology Conference in Breast Cancer as a Technology and Method to Optimize Outcomes in the Peripheries
  • E-Multidisciplinary Oncology Conference for Liver Cancer as a Technology and Method to Optimize Personalization and Outcomes in the Peripheries
  • Use of Artificial Intelligence for Predicting COVID-19 Outcomes: A Scoping Review
  • A Conceptual Framework to Predict Mental Health Patients' Zoning Classification
  • Stroke Units Necessity for Patients, Web-Based "SUN4P" Registry: Descriptive Characteristics of the Population
  • Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care
  • Contribution of Artificial Intelligence in Pregnancy: A Scoping Review
  • Introducing Gamification in eHealth Platforms for Promoting Wellbeing
  • Use of Scratch as ICT Educational Tool in Health
  • The Journey of Clinical Registries Through Various Phases of the Digital Age: A Technical Perspective
  • Patient's Unique Identifier for Efficient and Secure Monitoring of Pregnant Women in Burkina Faso
  • The Implementation of a Mobile APP for Cancer Care Management at the Brazilian National Cancer Institute.
  • A Self-Management App for Patients with Schizophrenia: A Pilot Study.