Search Results - "2024 IEEE International Conference on Digital Health (ICDH)"

Multimodal QOL Estimation During Human-Robot Interaction by Nakagawa, Satoshi, Kuniyoshi, Yasuo

“…Accurately assessing the Quality of Life (QOL) of the older adults is crucial for personalizing interactions with assistive robots and advancing welfare…”
Get full text

Semantically Rich Approach to Automating Regulations of Medical Devices by Chattoraj, Subhankar, Walid, Redwan, Joshi, Karuna Pande

“…Advanced medical devices increasingly use sophisticated AI/ML models to enable real-time analytics for monitoring patients. In the US, these AI models, which…”
Get full text

A novel approach for phenotypic characterization of sleep disorders by Bilal, Erhan, Araujo, Matheus Lima Diniz, Heinzinger, Catherine M., Ghosn, Samer, Schaefer, Nancy Foldvary, Saab, Carl Y., Mehra, Reena, Rogers, Jeffrey L.

“…Obstructive sleep apnea (OSA) is associated with increased morbidity and mortality, afflicting nearly one billion individuals worldwide. Polysomnography is the…”
Get full text

HIPAA Technical Compliance Evaluation of Laravel-based mHealth Apps by Akter, Mst Shapna, Barek, Md Abdul, Rahman, Md Mostafizur, Riad, Abm Kamrul Islam, Rahman, Md Abdur, Mia, Md Raihan, Shahriar, Hossain, Chu, William, Ahamed, Sheikh Iqbal

“…The advent of mobile health applications (mHealth apps) has significantly altered the landscape of personal health management. Particularly, mHealth apps…”
Get full text

A Forward-Looking Exploration: Developing a Computer-aided Tool for Ocular Symptom Assessment in Myasthenia Gravis Based on Facial Images by Zhao, Linna, Li, Jianqiang, Yang, Yifan, Liu, Fangyi, Zhu, Chujie, Cheng, Wenxiu, Liu, Suqin, Zhang, Ying, Xu, Xi, Yang, Jijiang, Yin, Jian, Zhao, Mingming, Ding, Shujie

“…Myasthenia Gravis (MG) is an autoimmune neuromuscular disorder that heavily affects various daily actions of the suffers. The manifestations of MG disease are…”
Get full text

Triage-Bot: An Assistive Triage Framework by Sharma, Drishti, Rashno, Elyas, Zulkernine, Farhana, Khodary, Eyad El, Beninger, Max, Almeida, Ronan, Tao, Jing, Alaca, Furkan, Elgazzar, Khalid

“…Prompt delivery of healthcare services is critical for saving lives. Streamlining the collection of patients' health data through automation can minimize…”
Get full text

RNN enhanced Compartmental Model for Infectious Disease Prediction by Ma, Junyi, Zhao, Junfeng, Wang, Yasha, Ma, Liantao, Li, Xiaocui, Gao, Xin, Zhang, Jinhui

“…COVID-19 has caused a pandemic on a global scale and brought about harm to politics, economy, and other fields. It is of great significance to build an…”
Get full text

Prediction of stroke using single lead ECG signal: A deep learning approach by Amrutha, Ravva, Roshni, S, Sahana, M, Chapparapu, Sai Pranavi, Balasubramanyam, Adithya

“…Stroke is the second most common cause of mortality globally. Its yearly death rate is approximately 5.5 million. Continuous monitoring of heart health is a…”
Get full text

Assessing AI adoption for enhancing healthcare supply chain resilience: A novel hybrid interval-valued q-rung orthopair fuzzy MCDM by Xue, Huzhi, Xie, Haihua, Chang, Carl K.

“…With ongoing market competitions, advancements in technology, and diverse products and services, supply chains (SC) have become increasingly sophisticated and…”
Get full text

Synthesized Blood Test Data for Dementia Risk Screening Using Generative Adversarial Networks by Oyama, Katsunori, Sakatani, Kaoru, Chu, William Cheng-Chung

“…This study investigates the potential of Generative Adversarial Networks (GANs) to improve dementia risk prediction models through data augmentation with blood…”
Get full text

Towards a Multi-model Comparative Study for Non-invasive Hemoglobin Level Prediction from Fingertip Video by Sabith, Nafi Us Sabbir, Sridevi, Parama, Arefin, Kazi Zawad, Rabbani, Masud, Ahamed, Sheikh Iqbal

“…Hemoglobin is one of the most significant hematological parameters, bearing valuable diagnostic information on potential diseases. Early detection of severely…”
Get full text

API Management in Digital Health: Exploring IBM API Connect and IBM API Hub in Enabling Healthcare Innovation by Siu, Vince S., Buleje, Italo, Itoh, Takashi, Hungund, Anil, Reinen, Jenna, Agurto, Carla, Graziano, Michael, Frohling, Kyle, Dang, Bing, Rogers, Jeffrey

“…Traditionally, healthcare analytics are confined within research and specialized institutions or can only be accessible through proprietary Application…”
Get full text

Unlocking the Potential of Patient Metadata for Skin Cancer Detection: An AI Framework by Islam, Md Shafiqul, Wishart, Gordon, Walls, Joseph, Hall, Per, Garcia, Alba, Gan, John, Raza, Haider

“…Early detection of suspicious skin lesions can significantly increase the five-year survival rates of the patients. Advancements in computer vision techniques…”
Get full text

Predictive Analytics and Digital Health Technologies for High-Risk Infants by Bonin, Francesca, Boschi, Tobia, Das, Anirudha, Rogers, Jeff, Tandon, Animesh

“…Wearable sensors have the potential to continuously collect and monitor physiologic data and help identifying early signs of changes in a patient's health…”
Get full text

Transforming the screening of neurodevelopmental disorders in young children by Herve, Anthony, Beaujard, Christel, Bedi, Bharat, Yvon, Marc

“…This publication deals with an AI solution for screening developmental disorders in young children for conditions such as autism, ADHD, learning disabilities,…”
Get full text

Leveraging mmWave for Contactless Breath Rate Estimation of Moving Subjects by Turetta, Cristian, Varasteh, Morteza, Kolozali, Sefki, Pravadelli, Graziano

“…The breath rate (BR) measurement is fundamental for comprehensive human health monitoring in many scenarios. Accurately estimating BR, particularly in moving…”
Get full text

Focus on Key Features: A Computer-Aided System for Airborne Allergenic Pollen Recognition Based on Localization-before-Classification by Liu, Suqin, Li, Jianqiang, Liu, Fangyi, Xu, Xi, Zhao, Linna, Cheng, Wenxiu, Ding, Shujie

“…Airborne allergenic pollen can trigger various hay fevers such as seasonal allergic rhinitis and bronchial asthma. Accurate and timely pollen forecasting…”
Get full text

Using Machine Learning to Track Disability Discourse on Social Media by Kumi, Sandra, Snow, Charles, Marfo-Gyimah, Joseph, Lomotey, Richard K., Deters, Ralph

“…People with Disabilities (PWDs) have so much to contribute to society positively and progressively. However, they are mostly disadvantaged, discriminated…”
Get full text

Enhancing Large Language Models with Human Expertise for Disease Detection in Electronic Health Records by Pan, Jie, Lee, Seungwon, Cheligeer, Cheligeer, Martin, Elliot A., Riazi, Kiarash, Quan, Hude, Li, Na

“…Electronic health records (EHR) are widely available to complement administrative data-based disease surveillance and healthcare performance evaluation…”
Get full text

Remotely-captured, free-text responses track with patient health states in chronic pain by Reinen, Jenna M., Agurto, Carla, Cecchi, Guillermo, Rogers, Jeffrey L.

“…Chronic pain (CP) is a complex, multidimensional condition characterized by physiological and psychological components. Advances in digital health have helped…”
Get full text