Explanipedia

Prediction of Blood Risk Score in Diabetes Using Deep Neural Networks Open

J. Quetzalcóatl Toledo-Marín, Taqdir Ali, Tibor van Rooij, Matthias Görges, Wyeth W. Wasserman · 2023

Improving the prediction of blood glucose concentration may improve the quality of life of people living with type 1 diabetes by enabling them to better manage their care. Given the anticipated benefits of such a prediction, numerous metho…

Rationale design and efficacy of a smartphone application for improving self-awareness of adherence to edoxaban treatment: study protocol for a randomised controlled trial (adhere app) Open

In‐Cheol Kim, Ji Hyun Lee, Dong‐Ju Choi, Sung‐Ji Park, Ju‐Hee Lee , et al. · 2022

Introduction High adherence to oral anticoagulants is essential for stroke prevention in patients with atrial fibrillation (AF). We developed a smartphone application (app) that pushes alarms for taking medication and measuring blood press…

Clinical Decision Support System Based on Hybrid Knowledge Modeling: A Case Study of Chronic Kidney Disease-Mineral and Bone Disorder Treatment Open

Syed Imran Ali, Su Woong Jung, Hafiz Syed Muhammad Bilal, Sang Ho Lee, Jamil Hussain , et al. · 2021

Clinical decision support systems (CDSSs) represent the latest technological transformation in healthcare for assisting clinicians in complex decision-making. Several CDSSs are proposed to deal with a range of clinical tasks such as diseas…

Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation Open

Asim Abbas, Muhammad Afzal, Jamil Hussain, Taqdir Ali, Hafiz Syed Muhammad Bilal , et al. · 2021

Extracting clinical concepts, such as problems, diagnosis, and treatment, from unstructured clinical narrative documents enables data-driven approaches such as machine and deep learning to support advanced applications such as clinical dec…

A practical approach towards causality mining in clinical text using active transfer learning Open

Musarrat Hussain, Fahad Ahmed Satti, Jamil Hussain, Taqdir Ali, Syed Imran Ali , et al. · 2021

Text Classification in Clinical Practice Guidelines Using Machine-Learning Assisted Pattern-Based Approach Open

Musarrat Hussain, Jamil Hussain, Taqdir Ali, Syed Imran Ali, Hafiz Syed Muhammad Bilal , et al. · 2021

Clinical Practice Guidelines (CPGs) aim to optimize patient care by assisting physicians during the decision-making process. However, guideline adherence is highly affected by its unstructured format and aggregation of background informati…

Unsupervised Semantic Mapping for Healthcare Data Storage Schema Open

Fahad Ahmed Satti, Musarrat Hussain, Jamil Hussain, Syed Imran Ali, Taqdir Ali , et al. · 2021

Data, information, and knowledge processing systems, in the domain of healthcare, are currently plagued by heterogeneity at various levels. Current solutions have focused on developing a standard-based, manual intervention mechanism, which…

AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice Open

Musarrat Hussain, Jamil Hussain, Taqdir Ali, Fahad Ahmed Satti, Sungyoung Lee · 2020

Background and Objectives: Clinical Practice Guidelines (CPGs) represent the foremost methodology for sharing state-of-the-art research findings in the healthcare domain with medical practitioners to limit practice variations, reduce clini…

Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability Open

Fahad Ahmed Satti, Taqdir Ali, Jamil Hussain, Wajahat Ali Khan, Asad Masood Khattak , et al. · 2020

The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability. While many or…

Artificial intelligence for the diagnosis of heart failure Open

Dong‐Ju Choi, Jin Joo Park, Taqdir Ali, Sungyoung Lee · 2020

The diagnosis of heart failure can be difficult, even for heart failure specialists. Artificial Intelligence-Clinical Decision Support System (AI-CDSS) has the potential to assist physicians in heart failure diagnosis. The aim of this work…

Semantic Reconciliation of Standard and Localized Medical Terminologies for Knowledge Interoperability Open

Taqdir Ali, Mowafa Househ, Tanvir Alam, Sungyoung Lee, Zubair Shah · 2020

The heterogeneous localized concepts of various hospitals reduce interoperability among localized data models of Hospital Information Systems (HIS) and the knowledge bases of clinical decision support systems (CDSS). The leading solution t…

Guideline-Enabled Data Driven Clinical Knowledge Model for the Treatment of Oral Cavity Cancer Acquired Through a Refined Knowledge Acquisition Method Open

Maqbool Hussain, Muhammad Afzal, Khalid Mahmood Malik, Taqdir Ali, Wajahat Ali Khan , et al. · 2019

Validation and verification are the critical requirements in the knowledge acquisition method for the clinical decision support system (CDSS). After acquiring the medical knowledge from diverse sources, the rigorous validation and formal v…

Guideline-Enabled Data Driven Clinical Knowledge Model for the Treatment of Oral Cavity Cancer Acquired Through a Refined Knowledge Acquisition Method Open

Maqbool Hussain, Muhammad Afzal, Khalid Mahmood Malik, Taqdir Ali, Wajahat Ali Khan , et al. · 2019

Validation and verification are the critical requirements in the knowledge acquisition method for the clinical decision support system (CDSS). After acquiring the medical knowledge from diverse sources, the rigorous validation and formal v…

Use of mind maps and iterative decision trees to develop a guideline-based clinical decision support system for routine surgical practice: case study in thyroid nodules Open

Hyeong Won Yu, Maqbool Hussain, Muhammad Afzal, Taqdir Ali, June Young Choi , et al. · 2019

Objective The study sought to develop a clinical decision support system (CDSS) for the treatment of thyroid nodules, using a mind map and iterative decision tree (IDT) approach to the integration of clinical practice guidelines (CPGs). Ma…

Clinically Harmonized Wellness Concepts Model for Health and Wellness Services Open

Taqdir Ali, Maqbool Hussain, Muhammad Afzal, Wajahat Ali Khan, Taeho Hur , et al. · 2018

Objective: A considerable number of frameworks and platforms are available to model terminologies in the clinical domains, but wellness domain lacks a development framework. The objective of this study is to develop a clinically influenced…

On Curating Multimodal Sensory Data for Health and Wellness Platforms Open

Muhammad Bilal Amin, Oresti Baños, Wajahat Ali Khan, Hafiz Muhammad Bilal, Jinhyuk Gong , et al. · 2016

In recent years, the focus of healthcare and wellness technologies has shown a significant shift towards personal vital signs devices. The technology has evolved from smartphone-based wellness applications to fitness bands and smartwatches…

Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval Open

Muhammad Afzal, Maqbool Hussain, Taqdir Ali, Jamil Hussain, Wajahat Ali Khan , et al. · 2015

Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which a…

Mining Minds: an innovative framework for personalized health and wellness support Open

Oresti Baños, Muhammad Bilal Amin, Wahajat Ali Khan, Taqdir Ali, Muhammad Khalil Afzal , et al. · 2015

The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well…

Mining Minds: an innovative framework for personalized health and wellness support Open

Oresti Baños, Muhammad Bilal Amin, Wajahat Ali Khan, Taqdir Ali, Muhammad Afzal , et al. · 2015

The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well…

GUDM: Automatic Generation of Unified Datasets for Learning and Reasoning in Healthcare Open

Rahman Ali, Muhammad Siddiqi, Muhammad Zaffwan Idris, Taqdir Ali, Shujaat Hussain , et al. · 2015

A wide array of biomedical data are generated and made available to healthcare experts. However, due to the diverse nature of data, it is difficult to predict outcomes from it. It is therefore necessary to combine these diverse data source…

Recommendations Service for Chronic Disease Patient in Multimodel Sensors Home Environment Open

Maqbool Hussain, Taqdir Ali, Wajahat Ali Khan, Muhammad Afzal, Sungyoung Lee , et al. · 2015

With advanced technologies in hand, there exist potential applications and services built around monitoring activities of daily living (ADL) of elderly people at nursing homes. Most of the elderly people in these facilities are suffering f…

Mining minds: journey of evolutionary platform for ubiquitous wellness Open

WA Khan, Muhammad Bilal Amin, Oresti Baños, Taqdir Ali, Mohammad Akhtar Hussain , et al. · 2015

Customized wellness care is a progressing area to promote self-care management, utilizing the state of the art techniques and technologies to monitor user daily life activities. Mining Minds Platform is one such effort that lies in customi…

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