High-risk human papillomavirus status and prognosis in invasive cervical cancer:

EHR was consistently and statistically significantly lower for cases with hrHPV-positive tumors for each age group above 29 years and each FIGO stage above IA. The difference in prognosis...

(PDF) Breast Cancer Prognosis Using a Machine Learning Approach - ResearchGate

into EHR data might help to achieve prognostic information, and has the potential to revolutionize the practice of personalized medicine. Keywords: breast cancer prognosis; artificial...

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

INSPECT contains data from 19,402 patients, including CT images, radiology report impression sections, and structured electronic health record (EHR) data (i.e. demographics, diagnoses, procedures, vitals, and medications). Using INSPECT, we develop and release a benchmark for evaluating several baseline modeling approaches on a variety of important PE related tasks. We evaluate image-only, EHR-only, and multimodal fusion models. Trained models and the de-identified dataset are made available for...

Electronic health record-based prediction models for in-hospital adverse drug ev - 상세정보 | 인제대학교 ....

record (EHR) data for adverse drug event (ADE) diagnosis and prognosis in adult hospitalized patients. Materials and Methods We searched the Embase and Medline databases (from January 1...

INSPECT

INSPECT contains data from 19,402 patients, including CT images, radiology report impression sections, and structured electronic health record (EHR) data (including demographics, diagnoses...

Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection

Accurate prognosis of outcome events, such as clinical procedures or disease diagnosis, is central in medicine. The emergence of longitudinal clinical data, like the Electronic Health Records (EHR)...

Cancers | Free Full-Text | Breast Cancer Prognosis Using a Machine Learning Appr

cancer prognosis [2]. In particular, ML or semi-supervised learning techniques have been recently applied to develop models for BC progression and survivability. Most of them, however, were...

[모두의 보건사업] 빅데이터도 한걸음부터, 전자 차트와 청구 자료 (2)

저자인 카라치 박사는 EHR과 청구자료를 구분할 때 ‘데이터 수집의 목적, 범위, 데이터의 구조와... A Time-Dependent Analysis of Association between Acupuncture Utilization and the Prognosis of Ischemic Stroke. Healthcare (Basel)...

British Journal of Haematology | Wiley Online Library

In the era of immunochemotherapy, data on the long-term prognosis of elderly patients... main prognosis factors using flexible regression modelling. The 10-year NS was 65% [59; 71]. Using...

u-Healthcare 의학지식 정보화

서론 EHR system의 구축 확산 -의료정보의 축적 바이오 정보... 3 (단위 : 조원) 국내외 동향 (의료시장)국내외 동향 (국내) EHR... 역할, EHR 핵심기반기술 사업단, 당뇨측정 등 만성질환 건강관리...