MARK IRA EVANS
Medical Practice in West Fort Lee, NJ
License number
New Jersey 25MA07716800
Issued Date
Dec 3, 2004
Expiration Date
Jun 30, 2017
Category
Medical Examiners
Type
Medical Doctor
Address
Address
West Fort Lee, NJ
Professional information
Mark Ira Evans, New York NY
Specialties:
OB-GYN
Address:
131 E 65Th St, New York, NY 10065
1000 10Th Ave, New York, NY 10019
100 Old Palisade Rd, Fort Lee, NJ 07024
1000 10Th Ave, New York, NY 10019
100 Old Palisade Rd, Fort Lee, NJ 07024
Education:
State University of New York Downstate Medical Center, College of Medicine - Doctor of Medicine
National Institutes of Health-Clinical Center - Fellowship - Genetics
National Institutes of Health-Clinical Center - Fellowship - Genetics
Board certifications:
American Board of Medical Genetics Certification in Clinical Genetics (MD) (Medical Genetics), American Board of Obstetrics and Gynecology Certification in Obstetrics & Gynecology
Identifying The Level Of Fetal Risk During Labor
US Patent:
2010016, Jul 1, 2010
Filed:
Dec 29, 2008
Appl. No.:
12/345090
Inventors:
Mark Evans - Fort Lee NJ, US
International Classification:
A61B 5/02
US Classification:
600301
Abstract:
A method for identifying the level of fetal risk during labor comprises monitoring at least each of the concurrent clinical parameters of (a) FHR, (b) baseline FHR variability, (c) FHR accelerations, (d) FHR decelerations, and (e) maternal uterine activity, to determine whether each parameter independently exhibits at least one non-reassuring characteristic, and indicating a present level of risk to the fetus corresponding to the number of the concurrent clinical parameters (a) through (e) that are simultaneously, independently non-reassuring. An apparatus for implementing the method comprises at least one computer operative to receive input signals indicative of at least FHR and maternal uterine activity in a patient. The computer is operative to determine from the FHR baseline FHR variability, FHR accelerations, and FHR decelerations, to determine when any one or more of the parameters (a) through (e) each exhibit at least one non-reassuring characteristic, and to determine a present level of risk to the fetus corresponding to the number of the parameters (a) through (e) that are simultaneously, independently non-reassuring. At least one output operatively connected to the at least one computer indicates the determined present level of risk to the fetus.
Method For Quantifying The Extent Of Human-Introduced Variability In Medical Test Data
US Patent:
2013003, Feb 7, 2013
Filed:
Oct 10, 2012
Appl. No.:
13/648735
Inventors:
Mark Evans - Fort Lee NJ, US
International Classification:
G06F 19/00
US Classification:
702 19
Abstract:
A method for quantifying the extent of human-introduced variability in medical test data relative to one or more standards for comparable medical tests, the method comprising the following steps: providing user medical test data; comparing the user medical test data against one or more standards for comparable medical tests to determine the extent of deviation of the user medical test data from the one or more standards; and generating a variability-value corresponding to the maximum absolute percentage deviation of the user medical test data from the one or more standards over a predefined operating range of values for the one or more standards.
Method For Quantifying The Extent Of Human-Introduced Variability In Medical Test Data
US Patent:
8315811, Nov 20, 2012
Filed:
Aug 31, 2009
Appl. No.:
12/551027
Inventors:
Mark Evans - Fort Lee NJ, US
International Classification:
G01N 33/50, G01N 33/48
US Classification:
702 19, 702 20
Abstract:
A method for quantifying the extent of human-introduced variability in medical test data relative to one or more standards for comparable medical tests, the method comprising the following steps: providing user medical test data; comparing the user medical test data against one or more standards for comparable medical tests to determine the extent of deviation of the user medical test data from the one or more standards; and generating a variability-value corresponding to the maximum absolute percentage deviation of the user medical test data from the one or more standards over a predefined operating range of values for the one or more standards.