AIMC Topic: Patient Selection

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Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

Journal of biomedical informatics Feb 2, 2016
OBJECTIVE: Wide-scale adoption of electronic medical records (EMRs) has created an unprecedented opportunity for the implementation of Rapid Learning Systems (RLSs) that leverage primary clinical data for real-time decision support. In cancer, where ...
Humans User-Computer Interface Decision Support Systems, Clinical Machine Learning Patient Selection Proto-Oncogene Proteins B-raf Software Electronic Health Records Melanoma
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Indications for staging laparoscopy in pancreatic cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association Nov 18, 2015
BACKGROUND: To identify indications for staging laparoscopy (SL) in patients with resectable pancreatic cancer, and suggest a pre-operative algorithm for staging these patients.
Patient Selection Pancreatic Neoplasms Humans Predictive Value of Tests CA-19-9 Antigen Algorithms Neoplasm Staging Tumor Burden Tomography, X-Ray Computed Laparoscopy Critical Pathways
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Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology Sep 25, 2015
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...
Humans Risk Factors Triiodobenzoic Acids Middle Aged Aged Prospective Studies Coronary Stenosis Predictive Value of Tests Sensitivity and Specificity Female Male Risk Assessment Coronary Angiography Fractional Flow Reserve, Myocardial Reproducibility of Results Body Mass Index Adenosine Patient Selection Contrast Media France
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Textual inference for eligibility criteria resolution in clinical trials.

Journal of biomedical informatics Sep 14, 2015
Clinical trials are essential for determining whether new interventions are effective. In order to determine the eligibility of patients to enroll into these trials, clinical trial coordinators often perform a manual review of clinical notes in the e...
Clinical Trials as Topic Vocabulary, Controlled Eligibility Determination Natural Language Processing Humans Patient Selection Electronic Health Records Data Mining Pattern Recognition, Automated
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The learning curve in robotic distal pancreatectomy.

Updates in surgery May 20, 2015
No data are available on the learning curve in robotic distal pancreatectomy (RADP). The learning curve in RADP was assessed in 55 consecutive patients using the cumulative sum method, based on operative time. Data were extracted from a prospectively...
Pancreatectomy Reoperation Learning Curve Male Middle Aged Postoperative Complications Length of Stay Clinical Competence Operative Time Robotics Patient Selection Humans Retrospective Studies Female
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Robot-assisted transaxillary thyroidectomy: surgical technique.

European annals of otorhinolaryngology, head and neck diseases May 13, 2015
Robot-assisted transaxillary thyroid surgery avoids the need for a neck incision. It consists of thyroid lobectomy and isthmectomy for moderately large unilateral benign nodules. The surgical imperatives are the same as for conventional surgery, but ...
Thyroid Diseases Thyroidectomy Thyroid Neoplasms Treatment Outcome Humans Patient Satisfaction Axilla Robotics Feasibility Studies Patient Selection
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Continence outcomes of robot-assisted radical prostatectomy in patients with adverse urinary continence risk factors.

BJU international May 11, 2015
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence recovery factors such as enlarged prostates, elderly patients, higher body mass index (BMI), salvage ...
Humans Risk Factors Male Prostatic Neoplasms Patient Selection Obesity Risk Assessment Urinary Incontinence Salvage Therapy Recovery of Function Treatment Outcome Prostatectomy Directive Counseling Organ Size Body Mass Index Robotics Age Factors
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Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BMC medical informatics and decision making Apr 14, 2015
BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP) and information extraction (...
Eligibility Determination Patient Selection Information Storage and Retrieval Clinical Trials as Topic Humans Neoplasms Child Natural Language Processing
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Identifying predictive features in drug response using machine learning: opportunities and challenges.

Annual review of pharmacology and toxicology Dec 12, 2014
This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction ...
Animals Risk Assessment Drug Discovery Antineoplastic Agents Gene Regulatory Networks Gene Expression Regulation, Neoplastic Cluster Analysis Patient Selection Humans Algorithms Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Pattern Recognition, Automated Patient Safety Artificial Intelligence Pharmacology Precision Medicine Risk Factors
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Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.

Journal of the American Medical Informatics Association : JAMIA Jul 16, 2014
OBJECTIVES: (1) To develop an automated eligibility screening (ES) approach for clinical trials in an urban tertiary care pediatric emergency department (ED); (2) to assess the effectiveness of natural language processing (NLP), information extractio...
Efficiency, Organizational Artificial Intelligence Information Storage and Retrieval Natural Language Processing Humans Clinical Trials as Topic Emergency Service, Hospital Eligibility Determination Patient Selection
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