BIOMAT Database Logo BIOMAT Database Logo

Editorial: machine learning models for gastric cancer risk prediction-authors' reply. 2021

Wai K Leung, and Thomas K L Lui
Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.

UI MeSH Term Description Entries
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000069550 Machine Learning A type of ARTIFICIAL INTELLIGENCE that enable COMPUTERS to independently initiate and execute LEARNING when exposed to new data. Transfer Learning,Learning, Machine,Learning, Transfer
D012306 Risk The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome. Relative Risk,Relative Risks,Risk, Relative,Risks,Risks, Relative
D013274 Stomach Neoplasms Tumors or cancer of the STOMACH. Cancer of Stomach,Gastric Cancer,Gastric Neoplasms,Stomach Cancer,Cancer of the Stomach,Gastric Cancer, Familial Diffuse,Neoplasms, Gastric,Neoplasms, Stomach,Cancer, Gastric,Cancer, Stomach,Cancers, Gastric,Cancers, Stomach,Gastric Cancers,Gastric Neoplasm,Neoplasm, Gastric,Neoplasm, Stomach,Stomach Cancers,Stomach Neoplasm
D016480 Helicobacter pylori A spiral bacterium active as a human gastric pathogen. It is a gram-negative, urease-positive, curved or slightly spiral organism initially isolated in 1982 from patients with lesions of gastritis or peptic ulcers in Western Australia. Helicobacter pylori was originally classified in the genus CAMPYLOBACTER, but RNA sequencing, cellular fatty acid profiles, growth patterns, and other taxonomic characteristics indicate that the micro-organism should be included in the genus HELICOBACTER. It has been officially transferred to Helicobacter gen. nov. (see Int J Syst Bacteriol 1989 Oct;39(4):297-405). Campylobacter pylori,Campylobacter pylori subsp. pylori,Campylobacter pyloridis,Helicobacter nemestrinae

Related Publications

Wai K Leung, and Thomas K L Lui
Editorial: machine learning models for gastric cancer risk prediction.
April 2021, Alimentary pharmacology & therapeutics,
Wai K Leung, and Thomas K L Lui
Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply.
January 2024, European heart journal. Digital health,
Wai K Leung, and Thomas K L Lui
Machine learning-based models for the prediction of breast cancer recurrence risk.
November 2023, BMC medical informatics and decision making,
Wai K Leung, and Thomas K L Lui
Editorial: the risk of cancer in patients with gastric intestinal metaplasia-Authors' reply.
August 2017, Alimentary pharmacology & therapeutics,
Wai K Leung, and Thomas K L Lui
Machine learning-based markers for CAD - Authors' reply.
July 2023, Lancet (London, England),
Wai K Leung, and Thomas K L Lui
Editorial: risk stratification for endoscopic surveillance of metachronous gastric cancer after endoscopic resection-Authors' reply.
November 2017, Alimentary pharmacology & therapeutics,
Wai K Leung, and Thomas K L Lui
Reply: Leveraging Machine Learning to Generate Prediction Models for Structural Valve Interventions.
October 2019, JACC. Cardiovascular interventions,
Wai K Leung, and Thomas K L Lui
Machine learning models in breast cancer survival prediction.
January 2016, Technology and health care : official journal of the European Society for Engineering and Medicine,
Wai K Leung, and Thomas K L Lui
Machine learning models for the early prediction of ventilator-associated pneumonia: Author's reply.
May 2024, European journal of internal medicine,
Wai K Leung, and Thomas K L Lui
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction.
January 2023, Sensors (Basel, Switzerland),
Copied contents to your clipboard!