Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2006-01-03
2008-08-19
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S045000, C706S046000
Reexamination Certificate
active
07415447
ABSTRACT:
A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.
REFERENCES:
patent: 4918627 (1990-04-01), Garcia et al.
patent: 5307262 (1994-04-01), Ertel
patent: 5479339 (1995-12-01), Miller
patent: 5547878 (1996-08-01), Kell
patent: 5596994 (1997-01-01), Bro
patent: 5652146 (1997-07-01), Kell
patent: 5908788 (1999-06-01), Kell
patent: 6029144 (2000-02-01), Barrett et al.
patent: 6165142 (2000-12-01), Bar
patent: 6338039 (2002-01-01), Lonski et al.
patent: 6879970 (2005-04-01), Shiffman et al.
patent: 7054782 (2006-05-01), Hartlaub
patent: 7072802 (2006-07-01), Hartlaub
patent: 7124059 (2006-10-01), Wetzer et al.
patent: 7249043 (2007-07-01), Trout, II et al.
patent: 7251620 (2007-07-01), Walker et al.
patent: 7343337 (2008-03-01), Cieliebak et al.
3B-1 Noninvasive Insulin Delivery in Large Pigs (> 100lbs) Using the Lightweight Cymbal Array Eun-Joo Park; Werner, J.; Smith, N.B.; Ultrasonics Symposium, 2007. IEEE Oct. 28-31, 2007 pp.: 104-107 Digital Object Identifier 10.1109/ULTSYM.2007.39.
A Smart and Passive Floor-Vibration Based Fall Detector for Elderly Alwan, M.; Rajendran, P.J.; Kell, S.; mack, D.; Dalal, S.; Wolfe, M.; Felder, R.; Information and Communication Technologies, 2006. ICTTA '06. 2nd vol. 1, Apr. 24-28, 2006 pp.: 1003-1007.
Incremental adoption of information security in health-care organizations: implications for document management Lorence, D.P.; Churchill, R.; Information Technology in Biomedicine, IEEE Transactions on vol. 9, Issue 2, Jun. 2005 pp.: 169-173 Digital Object Identifier 10.1109/TITB.2005.847137.
Towards an expert system for treatment planning Shalev, S.; Viggars, D.; Hahn, P.; Stewart, M.; Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE Nov. 4-7, 1988 pp.: 1444-1445 vol. 3 Digital Object Identifier 10.1109/IEMBS.1988.95302.
Hufford Michael R.
Paty Jean A.
Shiffman Saul
Canning Kevin J.
Holmes Michael B
Invivodata, Inc.
Lahive & Cockfield LLP
LandOfFree
Apparatus and method for prediction and management of... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Apparatus and method for prediction and management of..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Apparatus and method for prediction and management of... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4016419