BackgroundComputerized physician order entry (CPOE) systems are incorporated into clinical decision support systems (CDSSs) to reduce medication errors and improve patient safety. Automatic alerts generated from CDSSs can directly assist physicians i...
Chin, Yen Po Harvey;Song, Wenyu;Lien, Chia En;Yoon, Chang Ho;Wang, Wei-Chen;Liu, Jennifer;Nguyen, Phung Anh;Feng, Yi Ting;Zhou, Li;Li, Yu Chuan Jack;Bates, David Westfall BackgroundAlthough most current medication error prevention systems are rule-based, these systems may result in alert fatigue because of poor accuracy. Previously, we had developed a machine learning (ML) model based on Taiwan’s local databases (TLD)...
BackgroundThe clinical decision support system (CDSS) has become an indispensable tool for reducing medication errors and adverse drug events. However, numerous studies have reported that CDSS alerts are often overridden. The increase in override rat...
BackgroundLaboratory tests are considered an essential part of patient safety as patients’ screening, diagnosis, and follow-up are solely based on laboratory tests. Diagnosis of patients could be wrong, missed, or delayed if laboratory tests are perf...
In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological lan...
BackgroundObesity and lack of physical activity are major health risk factors for many life-threatening diseases, such as cardiovascular diseases, type 2 diabetes, and cancer. The use of mobile app interventions to promote weight loss and boost physi...
Syed-Abdul, Shabbir;Fernandez-Luque, Luis;Jian, Wen-Shan;Li, Yu-Chuan;Crain, Steven;Hsu, Min-Huei;Wang, Yao-Chin;Khandregzen, Dorjsuren;Chuluunbaatar, Enkhzaya;Nguyen, Phung Anh;Liou, Der-Ming IntroductionThe amount of information being uploaded onto social video platforms, such as YouTube, Vimeo, and Veoh, continues to spiral, making it increasingly difficult to discern reliable health information from misleading content. There are thousa...
[[abstract]]This study proposed a recognized system for electroencephalogram (EEG) data classification. In addition to the wavelet-based amplitude modulation (AM) features, the fuzzy c-means (FCM) clustering is used for the discriminant of left finge...
[[abstract]]近年來，不施打顯影劑的非定體積電腦斷層掃描（常規電腦斷層掃描）已成為所有腦神經急症必備的診斷工具，尤其這些疾病多具備突然發生，迅速致命的可怕特性。顱內血腫在斷層掃描影像中呈現高密度（白色）區域，並不難辨認；但不是所有醫師都對複雜腦神經解剖學有相當的了解，要區分各種不同型態的顱內血腫，作出正確的診斷，並不是一件容易的事，而神經內外科或放射線科醫師更無法二十四小時隨侍在側，提供意見，因此病人的診斷與治療可能遭到延誤。 為了克服這個問題，我們參考人類專家的知識，找出必要的規則，...
