應用機器學習演算法識別罹患帶狀疱疹之高危險群

李定達 - 2013 - tdr.lib.ntu.edu.tw
帶狀疱疹是台灣常見的疾病之一, 許多患者還受到其併發症--疱疹後神經痛所苦.
雖然已有許多帶狀疱疹的危險因子被報告過, 例如紅斑性狼瘡, 但大部份報告都只針對單一疾病 …

應用機器學習演算法識別罹患帶狀疱疹之高危險群

DD Lee - 國立臺灣大學資訊工程學系學位論文, 2013 - airitilibrary.com
Herpes zoster is a relatively common disorder in Taiwan and many patients suffer from its
most notorious complication--postherpetic neuralgia. A lot of risk factors of herpes zoster …

基於健保資料預測中風之研究並以Hadoop 作為一種快速擷取特徵工具

陳奕安 - 2016 - airitilibrary.com
隨著電腦運行速度的提升, 儲存技術的進步以及通訊技術的發展等原因, 使人類可以使用的數據
量大為增加, 因而使得大數據的研究興起. 在大數據研究興起的同時, 同樣也造就了資料探勘領域 …

Peer Review of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and …

JAB Andrades - JMIRx Med, 2021 - xmed.jmir.org
The authors of this research [1] discuss a platform containing a random forest classifier
applied to the medical reports of patients suffering from the herpes virus. The manuscript …

以監督式學習演算法結合健保資料庫實現憂鬱及躁鬱患者篩檢預測模式

吳俊儀 - 中正大學資訊管理學系學位論文, 2014 - airitilibrary.com
憂鬱症在過去十幾年來為人類失能排名第二的疾病. 憂鬱症及躁鬱症在臨床上的早期症狀並無
明顯可區別的特徵. 在這個領域中雖然尋求可靠的篩檢方式已做了相當多的研究 …

[HTML][HTML] Comparing different supervised machine learning algorithms for disease prediction

S Uddin, A Khan, ME Hossain, MA Moni - BMC medical informatics and …, 2019 - Springer
Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …

[PDF][PDF] PERFORMANCE EVALUATION OF MACHINE LEARNING ALGORITHMS FOR DISEASE PREDICTION

S Lokesh, PN Alekhya, Y Harshini, TRL Prakash - journal-dogorangsang.in
Using machine learning algorithms, one aim is to forecast a person's likelihood of
contracting a specific disease or condition based on a variety of risk factors. To implement …

Differential diagnosis of erythemato-squamous diseases using ensemble of decision trees

M El Bachir Menai, N Altayash - International Conference on Industrial …, 2014 - Springer
The differential diagnosis of erythemato-squamous diseases (ESD) in dermatology is a
difficult task because of the overlapping of their signs and symptoms. Automatic detection of …

應用集成式模型進行世代研究資料之風險值預測-以異位性皮膚炎為例

呂欣儒 - 中原大學應用數學系學位論文, 2023 - airitilibrary.com
世代研究是針對人可能引發的病因, 透過一段時間的觀察追蹤, 分析其併發率或死亡率,
提出因果關係做預估. 以異位性皮膚炎為例, 依據之前的文獻提及, 異位性皮膚炎發病的巔峰是在 …

[PDF][PDF] Prognosis of Determined Cardiovascular Illnesses using Machine Learning Techniques

VS Kumar, GN Chandra, S Vishwanath - researchgate.net
Prognostic of determined cardiovascular illness is one similar perpetration of machine
literacy algorithms in the field of healthcare. Medical installations need to be advanced so …