Výsledky vyhledávání - "Md Kamruz Zaman, Rana"

Akademický článek

Investigation of the Utility of Features in a Clinical De-identification Model: A Demonstration Using EHR Pathology Reports for Advanced NSCLC Patients

Autor: Tanmoy Paul, Md Kamruz Zaman Rana, Preethi Aishwarya Tautam, Teja Venkat Pavan Kotapati, Yaswitha Jampani, Nitesh Singh, Humayera Islam, Vasanthi Mandhadi, Vishakha Sharma, Michael Barnes, Richard D. Hammer, Abu Saleh Mohammad Mosa

Publikováno v: Frontiers in Digital Health, Vol 4 (2022)

BackgroundElectronic health record (EHR) systems contain a large volume of texts, including visit notes, discharge summaries, and various reports. To protect the confidentiality of patients, these records often need to be fully de-identified before c

Externí odkaz: https://doaj.org/article/3828d9965431427887fb90453f48bc56

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Akademický článek

A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction

Autor: Abu Saleh Mohammad Mosa, Md Kamruz Zaman Rana, Humayera Islam, A K M Mosharraf Hossain, Illhoi Yoo

Publikováno v: JMIR mHealth and uHealth, Vol 9, Iss 12, p e27024 (2021)

BackgroundChemotherapy-induced nausea and vomiting (CINV) are the two most frightful and unpleasant side effects of chemotherapy. CINV is accountable for poor treatment outcomes, treatment failure, or even death. It can affect patients' overall quali

Externí odkaz: https://doaj.org/article/0c167e17622a4bba9e041e4fa3d5b636

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Akademický článek

Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients

Autor: Tanmoy Paul, Humayera Islam, Nitesh Singh, Yaswitha Jampani, Teja Venkat Pavan Kotapati, Preethi Aishwarya Tautam, Md Kamruz Zaman Rana, Vasanthi Mandhadi, Vishakha Sharma, Michael Barnes, Richard D. Hammer, Abu Saleh Mohammad Mosa

Publikováno v: Applied Sciences, Vol 12, Iss 19, p 9976 (2022)

The de-identification of clinical reports is essential to protect the confidentiality of patients. The natural-language-processing-based named entity recognition (NER) model is a widely used technique of automatic clinical de-identification. The perf

Externí odkaz: https://doaj.org/article/e0a2cb981dc5479694e7a9dccdcb2ccd

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An In-depth Needs Analysis to Design a Data Visualization Dashboard Prototype for Critical Care Setting

Autor: Humayera Islam, Xiaoxia Li, Md. Kamruz Zaman Rana, Khuder Alaboud, Tanmoy Paul, Abdullah Maruf, Abu Saleh Mohammad Mosa

Publikováno v: 2022 Workshop on Visual Analytics in Healthcare (VAHC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8830d4321ae3e489983d74b6c59ded3
https://doi.org/10.1109/vahc57815.2022.10108524

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A Privacy-Preserved Transfer Learning Concept to Predict Diabetic Kidney Disease at Out-of-Network Siloed Sites Using an In-Network Federated Model on Real-World Data

Autor: Humayera, Islam, Khuder, Alaboud, Tanmoy, Paul, Md Kamruz Zaman, Rana, Abu, Mosa

Publikováno v: AMIA Annu Symp Proc

Successful implementation of data-driven artificial intelligence (AI) applications requires access to large datasets. Healthcare institutions can establish coordinated data-sharing networks to address the complexity of large clinical data accessibili

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::407793123712d3a9c08001284d54c05e
https://pubmed.ncbi.nlm.nih.gov/35854714

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A Smartphone-Based Decision Support Tool for Predicting Patients at Risk of Chemotherapy-Induced Nausea and Vomiting: Retrospective Study on App Development Using Decision Tree Induction (Preprint)

Autor: Humayera Islam, Md Kamruz Zaman Rana, Akm Hossain, Illhoi Yoo, Abu Saleh Mohammad Mosa

BACKGROUND Chemotherapy-induced nausea and vomiting (CINV) are the two most frightful and unpleasant side effects of chemotherapy. CINV is accountable for poor treatment outcomes, treatment failure, or even death. It can affect patients' overall qual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4ed00c33eb51fa9c37c4cc9db5a99dd
https://doi.org/10.2196/preprints.27024

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