Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Artificial intelligence and machine learning in precision and genomic medicine

S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

Artificial intelligence technologies and compassion in healthcare: A systematic scoping review

E Morrow, T Zidaru, F Ross, C Mason, KD Patel… - Frontiers in …, 2023 - frontiersin.org
Background Advances in artificial intelligence (AI) technologies, together with the availability
of big data in society, creates uncertainties about how these developments will affect …

Natural language processing for smart healthcare

B Zhou, G Yang, Z Shi, S Ma - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

[HTML][HTML] Sentiment analysis in health and well-being: systematic review

A Zunic, P Corcoran, I Spasic - JMIR medical informatics, 2020 - medinform.jmir.org
Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …

[HTML][HTML] Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review

M Khanbhai, P Anyadi, J Symons, K Flott… - BMJ Health & Care …, 2021 - ncbi.nlm.nih.gov
Objectives Unstructured free-text patient feedback contains rich information, and analysing
these data manually would require a lot of personnel resources which are not available in …

Patient satisfaction and hospital quality of care evaluation in malaysia using servqual and facebook

AIA Rahim, MI Ibrahim, KI Musa, SL Chua, NM Yaacob - Healthcare, 2021 - mdpi.com
Social media sites, dubbed patient online reviews (POR), have been proposed as new
methods for assessing patient satisfaction and monitoring quality of care. However, the …

[HTML][HTML] From eHealth to iHealth: transition to participatory and personalized medicine in mental health

S Berrouiguet, MM Perez-Rodriguez, M Larsen… - Journal of medical …, 2018 - jmir.org
Clinical assessment in psychiatry is commonly based on findings from brief, regularly
scheduled in-person appointments. Although critically important, this approach reduces …

Assessing patient-perceived hospital service quality and sentiment in malaysian public hospitals using machine learning and facebook reviews

AI A. Rahim, MI Ibrahim, KI Musa, SL Chua… - International journal of …, 2021 - mdpi.com
Social media is emerging as a new avenue for hospitals and patients to solicit input on the
quality of care. However, social media data is unstructured and enormous in volume …

Natural language processing to extract meaningful information from patient experience feedback

K Nawab, G Ramsey, R Schreiber - Applied Clinical Informatics, 2020 - thieme-connect.com
Background Due to reimbursement tied in part to patients' perception of their care, hospitals
continue to stress obtaining patient feedback and understanding it to plan interventions to …