about
Strategies for medical data extraction and presentation part 2: creating a customizable context and user-specific patient reference databaseAutomated methods for the summarization of electronic health recordsLinked health data for pharmacovigilance in children: perceived legal and ethical issues for stakeholders and data guardiansRough set theory based prognostic classification models for hospice referralThe concomitance of cervical spondylosis and adult thoracolumbar spinal deformity.Comparison of manual versus automated data collection method for an evidence-based nursing practice studyBuilding Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate CancerData mining in medical time series.Data preparation framework for preprocessing clinical data in data miningPreprocessing structured clinical data for predictive modeling and decision support. A roadmap to tackle the challenges.A constraint satisfaction approach to data-driven implementation of clinical practice guidelines.XML-based approaches for the integration of heterogeneous bio-molecular dataTracking medication information across medical recordsAutomated image processing and analysis of cartilage MRI: enabling technology for data mining applied to osteoarthritisData processing and analysis in real-world traditional Chinese medicine clinical data: challenges and approaches.Online discourse on fibromyalgia: text-mining to identify clinical distinction and patient concernsUser needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scannerMining adverse drug reactions from online healthcare forums using hidden Markov modelEnhancing participation to health screening campaigns by group interactionsNonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examinationA clinical decision tool for predicting patient care characteristics: patients returning within 72 hours in the emergency departmentRespiratory knowledge discovery utilising expertiseFacilitating Clinical Outcomes Assessment through the automated identification of quality measures for prostate cancer surgery.The Clinical Outcomes Assessment Toolkit: a framework to support automated clinical records-based outcomes assessment and performance measurement research.Prediction of breast cancer survival through knowledge discovery in databases.Maximizing the value of mobile health monitoring by avoiding redundant patient reports: prediction of depression-related symptoms and adherence problems in automated health assessment servicesInteractive knowledge discovery with the doctor-in-the-loop: a practical example of cerebral aneurysms research.INTEGRATED DATABASE SYSTEM FOR MOBILE DIETARY ASSESSMENT AND ANALYSIS.Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services.Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records.A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study.On causality of extreme events.RAIRS2 a new expert system for diagnosing tuberculosis with real-world tournament selection mechanism inside artificial immune recognition system.Predicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques.A security framework for nationwide health information exchange based on telehealth strategy.Cardiovascular diagnostics mining on Borneo island: from labour-intensive to prototype.A new automated implementation of the Posturo-Locomotion-Manual (PLM) method for movement analysis in patients with parkinson's disease.Construction the model on the breast cancer survival analysis use support vector machine, logistic regression and decision tree.Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS).A novel approach for incremental uncertainty rule generation from databases with missing values handling: application to dynamic medical databases.
P2860
Q26862744-F6B1B76E-54D5-432D-8AE2-9D86CD661042Q28597789-D07C1F5E-A18F-4349-A0B4-495E722157EAQ28658935-8744E957-0EAA-4EB0-AF80-FA06AF4E804FQ30278022-F71D6238-A449-447B-9C7F-6C358A75953CQ30574845-0A060D85-5951-4AFD-B14B-916B375148EAQ30621657-8A9B8085-38E9-4018-8B47-483B49009AC8Q30979644-74891FBE-298B-4ABC-A460-669B9EB9BEA8Q31083656-44A332DB-59B6-4991-AD51-3ABB35C0C118Q31094978-DE469D9F-A878-4C9E-99BD-F8A7745A49ABQ31147284-809FC845-3E5D-4CFF-9F29-799C9B3A42B0Q33383557-90C95E55-340A-4ED2-B9D7-0E9C021C01AFQ33510481-E2468767-76B9-45E6-AA43-0903C1138D32Q33626421-148983C9-688C-48AE-9CEC-2D06EA8A41D0Q33969987-A0AD2249-A81C-4F5E-959A-26A69369B428Q34097206-4AD6C20D-225D-4AB7-9E08-5E1D49A63FACQ34350284-C01CC5F1-013C-439F-97D5-3D21E4274386Q34536657-C6CC8984-8250-4C62-A7FC-8EF5A64C7258Q34812232-3131F518-DE91-4BF1-BB66-ECE26CE81E9EQ35531836-06EA3F82-890D-4D49-974A-38957E3561AEQ35834976-73C461F4-E156-426B-BA4D-A1B3CE67EE9BQ36519356-3BF90E8E-A802-403D-B092-AB3C9C22D1AAQ36579662-60CD1B65-2D6E-4F6F-970E-50C139E14BC0Q36696018-94484F79-760C-476D-9CB0-E8B91286FAD5Q36696034-26402CAC-FF09-4832-A4F5-C094D79C9B24Q36713400-E7397FA6-786C-4636-97CA-2B98956E677DQ37020860-43A789EE-30C4-4516-80B7-70CA85A007EEQ37208424-AA35A7E6-5862-49D5-912E-14F1DBC198CCQ37415560-1B5ADE9C-A549-41AE-9958-E22B3790A946Q37680887-B086CB3F-ECE8-4666-AFE6-8349832FAA3CQ37718128-ECAB9683-EB82-44C2-82D1-A00AFF93E1B2Q38615283-8E56586F-957B-4DD1-B9D8-7AF9C78857C3Q39664730-5F91DA36-511B-480A-956C-45EB11AF1860Q40829224-BBD2C6D4-CDDF-4A81-9081-58B849EA8B0EQ41599295-8B2AA506-0DAF-4AD7-8EBE-F03EBD9CE958Q42696246-95FF7F25-770F-4074-88D5-3BF1827C664CQ44116336-A95EEB86-EF61-4D86-B149-761167D89E34Q46749779-B25FC050-5263-4499-BB9D-160668E35019Q46860350-BA413D31-BACB-4110-8068-E3FE4593295DQ51758739-E0D50F66-B799-429E-9C18-CBFDFAAB59F2Q51956198-B515F324-6F14-4A19-BE99-D194D4A66CC1
P2860
description
2002 nî lūn-bûn
@nan
2002 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
name
Uniqueness of medical data mining.
@ast
Uniqueness of medical data mining.
@en
type
label
Uniqueness of medical data mining.
@ast
Uniqueness of medical data mining.
@en
prefLabel
Uniqueness of medical data mining.
@ast
Uniqueness of medical data mining.
@en
P1476
Uniqueness of medical data mining.
@en
P2093
G William Moore
Krzysztof J Cios
P356
10.1016/S0933-3657(02)00049-0
P577
2002-09-01T00:00:00Z