DR. MICHAEL J EBAUGH, MD
Medical Practice at Kessing St, Porterville, CA

License number
California A65845
Category
Medical Practice
Type
Specialist
Address
Address
254 N Kessing St, Porterville, CA 93257
Phone
(559) 781-8500
(559) 781-8300 (Fax)

Professional information

Michael J Ebaugh Photo 1

Dr. Michael J Ebaugh, Porterville CA - MD (Doctor of Medicine)

Specialties:
Obstetrics & Gynecology
Address:
254 N Kessing St, Porterville 93257
(559) 781-8500 (Phone), (559) 781-8300 (Fax)
Certifications:
Obstetrics & Gynecology, 2008
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
254 N Kessing St, Porterville 93257
Clovis Community Medical Center
2755 Herndon Ave, Clovis 93611
Education:
Medical School
University of Texas At Galveston / Medical Branch
Graduated: 1994
Utsw, Parkland Hosp


Michael Ebaugh Photo 2

Systems And Methods For Data Indexing And Processing

US Patent:
2007001, Jan 18, 2007
Filed:
Jul 14, 2006
Appl. No.:
11/486475
Inventors:
Michael Ebaugh - Porterville CA, US
Matthew Morvant - Carrollton TX, US
International Classification:
H04N 1/40
US Classification:
358448000
Abstract:
Systems and methods are disclosed that allow for indexing, processing, or both of information from physical media or electronic media, which may be received from a plurality of sources. In embodiments, a document file may be matched using pattern matching methods and may include comparisons with a comparison reference database to improve or accelerate the indexing process. In embodiments, information may be presented to a user as potential matches thereby improving manual indexing processes. In embodiments, one or more additional actions may occur as part of the processing, including without limitation, association additional data with a document file, making observations from the document file, notifying individuals, creating composite messages, and billing events. In an embodiment, data from a document file may be associated with a key word, key phrase, or word frequency value that enables adaptive learning so that unindexed data may be automatically indexed based on user interaction history.


Michael Ebaugh Photo 3

Systems And Methods For Data Indexing And Processing

US Patent:
8370387, Feb 5, 2013
Filed:
Dec 22, 2011
Appl. No.:
13/335597
Inventors:
Michael John Ebaugh - Porterville CA, US
Matthew Joseph Morvant - Carrollton TX, US
Assignee:
Indxit Systems Inc. - Porterville CA
International Classification:
G06F 17/00
US Classification:
707780, 707781, 707759
Abstract:
Systems and methods are disclosed that allow for indexing, processing, or both of information from physical media or electronic media, which may be received from a plurality of sources. In embodiments, a document file may be matched using pattern matching methods and may include comparisons with a comparison reference database to improve or accelerate the indexing process. In embodiments, information may be presented to a user as potential matches thereby improving manual indexing processes. In embodiments, one or more additional actions may occur as part of the processing, including without limitation, association additional data with a document file, making observations from the document file, notifying individuals, creating composite messages, and billing events. In an embodiment, data from a document file may be associated with a key word, key phrase, or word frequency value that enables adaptive learning so that unindexed data may be automatically indexed based on user interaction history.


Michael Ebaugh Photo 4

System And Methods For Data Indexing And Processing

US Patent:
2007001, Jan 18, 2007
Filed:
Jul 14, 2006
Appl. No.:
11/487021
Inventors:
Michael Ebaugh - Porterville CA, US
Matthew Morvant - Carrollton TX, US
International Classification:
H04N 1/40
US Classification:
358448000
Abstract:
Systems and methods are disclosed that allow for indexing, processing, or both of information from physical media or electronic media, which may be received from a plurality of sources. In embodiments, a document file may be matched using pattern matching methods and may include comparisons with a comparison reference database to improve or accelerate the indexing process. In embodiments, information may be presented to a user as potential matches thereby improving manual indexing processes. In embodiments, one or more additional actions may occur as part of the processing, including without limitation, association additional data with a document file, making observations from the document file, notifying individuals, creating composite messages, and billing events. In an embodiment, data from a document file may be associated with a key word, key phrase, or word frequency value that enables adaptive learning so that unindexed data may be automatically indexed based on user interaction history.