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Saad Al Sakkal

from Mason, OH
Age ~76

Saad Sakkal Phones & Addresses

  • 4102 S Shore Dr, Mason, OH 45040
  • Anniston, AL
  • Cincinnati, OH
  • Farmington, CT
  • 115 Conneaut Lake Rd, Greenville, PA 16125 (724) 588-1925
  • 10 Meadowlane, Greenville, PA 16125
  • Dunkirk, MD
  • 115 Conneaut Lake Rd, Greenville, PA 16125

Work

Company: SAINT ELIZABETH HEALTHCARE REGIONAL DIABETES CENTER Address: 1500 James Simpson Jr Way Suite 301, Covington, KY 41011 Phones: (859) 655-8910

Education

School / High School: University of Damascus / Faculty of Medicine

Skills

Eastern Mediterranean Best Fast Diet • Eastern Mediterranean • Clinical Research • High Value Clinical • Value Index In Diabetes • Value Index In Diabetes Performance • Value Index of Overweight Performance • Value Index of Hyperlipedemia Performance • High Value Clinical Practice

Languages

English

Awards

Healthgrades Honor Roll

Ranks

Certificate: Diabetes, Metabolism & Endocrinology, 1977

Industries

Hospital & Health Care

Specialities

Geriatric Medicine • Endocrinology & Metabolism • Endocrinology, Diabetes & Metabolism

Professional Records

License Records

Saad Sakkal

Address:
4834 Socialville Foster Rd SUITE 10, Mason, OH 45040
Phone:
(513) 667-9429 (Work)
License #:
45727 - Expired
Category:
Endocrinology Diabetes & Metabolism
Type:
Private Practice

Saad Al Sakkal

Address:
Mason, OH 45040
License #:
MD017475E - Active
Category:
Medicine
Type:
Medical Physician and Surgeon

Saad A Sakkal

Address:
4102 S Shr Dr, Mason, OH
Phone:
(513) 667-7942
License #:
119454 - Active
Category:
Health Care
Issued Date:
Apr 8, 2014
Effective Date:
Feb 9, 2016
Expiration Date:
Jan 31, 2018
Type:
Medical Doctor

Medicine Doctors

Saad Sakkal Photo 1

Dr. Saad A Sakkal, Covington KY - MD (Doctor of Medicine)

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Specialties:
Geriatric Medicine
Endocrinology & Metabolism
Endocrinology, Diabetes & Metabolism
Address:
1500 James Simpson Jr Way Suite 201, Covington, KY 41011
(859) 655-8910 (Phone), (859) 655-8981 (Fax)

SAINT ELIZABETH HEALTHCARE REGIONAL DIABETES CENTER
1500 James Simpson Jr Way Suite 301, Covington, KY 41011
(859) 655-8910 (Phone)

140 Adams Ln Suite 600, Pikeville, KY 41501
(606) 218-4793 (Phone), (606) 432-9093 (Fax)
Certifications:
Diabetes, Metabolism & Endocrinology, 1977
Geriatric Medicine, 1990
Internal Medicine, 1987
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
University of Damascus / Faculty of Medicine
Medical School
Luth Med Ctr
Medical School
Conemaugh Valley Meml Hosp
Medical School
Philadelphia General Hospital
Medical School
St Josephs Hospital and Medical Center
Medical School
George Washington University
Saad Sakkal Photo 2

Saad Sakkal

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Specialties:
Internal Medicine, Endocrinology, Diabetes & Metabolism
Work:
Lindenwald Medical Associates
3570 Pleasant Ave STE A, Hamilton, OH 45015
(513) 863-6463 (phone), (513) 863-2440 (fax)
Education:
Medical School
University of Damascus - Faculty of Medicine, Damascus, Syria
Graduated: 1972
Languages:
English
Spanish
Description:
Dr. Sakkal graduated from the University of Damascus - Faculty of Medicine, Damascus, Syria in 1972. He works in Hamilton, OH and specializes in Internal Medicine and Endocrinology, Diabetes & Metabolism.
Saad Sakkal Photo 3

Saad Sakkal, Covington KY

Work:
SEP Regional Diabetes Center @ SEH
1500 James Simpson Jr Way, Covington, KY 41011

Resumes

Resumes

Saad Sakkal Photo 4

Director

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Location:
4102 south Shore Dr, Mason, OH 45040
Industry:
Hospital & Health Care
Work:
Metabolic Care Center
Director
Education:
Damascus University 1972
Doctor of Medicine, Doctorates, Medicine
Skills:
Eastern Mediterranean Best Fast Diet
Eastern Mediterranean
Clinical Research
High Value Clinical
Value Index In Diabetes
Value Index In Diabetes Performance
Value Index of Overweight Performance
Value Index of Hyperlipedemia Performance
High Value Clinical Practice
Languages:
Hebrew

Publications

Us Patents

Computer-Implemented System And Method For Improving Glucose Management Through Cloud-Based Modeling Of Circadian Profiles

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US Patent:
20150347707, Dec 3, 2015
Filed:
May 30, 2014
Appl. No.:
14/291325
Inventors:
Anthony Michael ALBISSER - The Villages FL, US
Saad SAKKAL - Mason OH, US
International Classification:
G06F 19/00
Abstract:
A computer-implemented system and method for improving glucose management through cloud-based modeling of circadian profiles is provided. For each daily meal peeriod, two sets of pre- and post-meal period data that include a blood glucose level and a diabetes medication dosing are stored into a circadian profile for a diabetic patient in a cloud computing infrastructure. Predicted blood glucose is modeled over the infrastructure and the access will be validated. A model, including expected blood glucose values and their predicted errors is created from the blood glucose levels in each profile and visualized in a log-normal distribution. Target ranges for blood glucose are determined and superimposed over the expected values. Pharmacodynamics of the medication are obtained. An incremental change in dosing of the medication is propagated over a model day and the expected blood glucose values and their predicted errors are adjusted in response to the incremental dosing change.

Blood Glucose Meter And Computer-Implemented Method For Improving Glucose Management Through Modeling Of Circadian Profiles

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US Patent:
20150347708, Dec 3, 2015
Filed:
May 30, 2014
Appl. No.:
14/291350
Inventors:
Anthony Michael ALBISSER - The Villages FL, US
Saad Sakkal - Mason OH, US
International Classification:
G06F 19/00
Abstract:
A blood glucose meter and computer-implemented method for improving glucose management through modeling of circadian profiles is provided. For each daily meal period, two sets of pre- and post-meal period data are collected into a circadian profile and stored on a glucose meter, including a level of blood glucose of a diabetic patient and a dosage of diabetes medication. A model of predicted blood glucose for the patient is created from the blood glucose levels in each record as expected blood glucose values and predicted errors and visualized in a log-normal distribution. Target ranges for blood glucose at each meal period are determined and superimposed over the expected blood glucose values. Pharmacodynamics of the medication are obtained. An incremental change in dosing of the medication is propagated over a model day and the expected blood glucose values and their predicted errors are adjusted in response to the incremental dosing change.
Saad Al Sakkal from Mason, OH, age ~76 Get Report