Prior to further processing, completed questionnaires must be screened for the presence of careless respondents. Different people will respond to surveys in different ways. Some take …
L Pan, G Liu, X Mao, H Li, J Zhang… - JMIR medical …, 2019 - medinform.jmir.org
Background: Central precocious puberty (CPP) in girls seriously affects their physical and mental development in childhood. The method of diagnosis—gonadotropin-releasing …
QTV Huynh, NQK Le, SY Huang, BT Ho, TH Vu… - PLoS …, 2022 - journals.plos.org
Background A brief gonadotropin-releasing hormone analogues (GnRHa) stimulation test which solely focused on LH 30-minute post-stimulation was considered to identify girls with …
Abstract Machine learning enables computers to learn from data and fuels artificial intelligence systems with capabilities to make even super-human decisions. Yet, despite …
S Safdar, SA Khan, A Shaukat, MU Akram - IEEE Access, 2020 - ieeexplore.ieee.org
This article introduces a novel framework which combines the outputs from Radio Frequency Identification (RFID) technology, the automated outpatient feedback survey form, Hospital …
N Liu, S Kumara, E Reich - IEEE journal of biomedical and …, 2020 - ieeexplore.ieee.org
Patient satisfaction is a key performance indicator of patient-centered care and hospital reimbursement. To discover the major factors that affect patient experiences is considered …
Machine learning (ML) has been rapidly growing, mainly owing to the availability of historical datasets and advanced computational power. This growth is still facing a set of …
C Jamunadevi, R Subith, S Deepa… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
This research study intends to reduce the features and predict whether the patients are satisfied with the service provided by the hospitals. The proposed system classifies top five …
Artificial Intelligence and Machine Learning communities and applications have come a long way from being result focused to being more human intuitive, due to the myriad of fields that …