Intervention time prediction from surgical low-level tasks

Journal of Biomedical Informatics

Volumn 46, Issue 1, 2013, Pages 152-159

  Franke, Stefan ^a   Meixensberger, Jürgen ^a,b   Neumuth, Thomas ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

^b UNIVERSITY HOSPITAL LEIPZIG   (Germany)

Author keywords

Computer assisted; Decision making; Operative; Surgery; Surgical procedures; Workflow

Indexed keywords

BRAIN TUMORS; CENTRALIZED MANAGEMENT; CLINICAL APPLICATION; COMPUTER ASSISTED; EFFECTIVE TIME; INTRA-OPERATIVE; MEAN ABSOLUTE ERROR; ONLINE PREDICTION; OPERATIVE; PATIENT CARE; PREDICTION ACCURACY; PREDICTION ALGORITHMS; PROCESS INFORMATION; PROCESS MODEL; RESOURCE CONFLICT; RESOURCE MANAGEMENT; SUB-SAMPLING; SURGICAL PROCEDURES; SURGICAL WORKFLOW; TECHNICAL INFRASTRUCTURE; VALIDATION STUDY; WORKFLOW;

ALGORITHMS; BRAIN; DECISION MAKING; INFORMATION MANAGEMENT; NATURAL RESOURCES MANAGEMENT; OPERATING ROOMS; RESOURCE ALLOCATION; SURGERY;

FORECASTING;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; CANCER SURGERY; HUMAN; INTERVERTEBRAL DISKECTOMY; INTRAOPERATIVE PERIOD; ONLINE ANALYSIS; OPERATION DURATION; PATIENT CARE; PREDICTION; PRIORITY JOURNAL; SURGICAL PROCESS MODEL; VALIDATION STUDY; WORKFLOW;

BRAIN NEOPLASMS; DISKECTOMY; HUMANS; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; SURGICAL PROCEDURES, OPERATIVE; TIME AND MOTION STUDIES;

EID: 84873106714     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2012.10.002     Document Type: Article

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