Edward A. Patrick’s research while affiliated with University of Cincinnati and other places

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Publications (22)


Expert Learning System Network for Diagnosis of Breast Calcifications
  • Article

July 1991

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9 Reads

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40 Citations

Investigative Radiology

Edward A. Patrick

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Myron Moskowitz

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Vineet T. Mansukhani

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Breast calcification diagnosis was studied by using clinical findings and computerized image processing of a mammogram in a network of trained expert learning systems (Outcome Advisor [OA]). The system was tested with records not used for training and performance was compared with radiologist. The network was 72% accurate in classifying clusters of calcifications as malignant or benign over a set of test cases radiologists had considered "hard-to-diagnose calcifications," and referred for biopsy. The radiologists had decided to conduct biopsy by selecting an equal number of positive and negative cases for the test group; thus the radiologists' performance with respect to categories of benign versus malignant was constrained to be 50/50. Statistical analysis shows only a 2% probability that the observed accuracy of 72% was a chance performance in recognizing whether a cluster is benign or malignant. The feasibility of developing a network of OAs for diagnosing breast cancer integrating digital image processing of mammograms is promising.


The outcome advisor®

December 1990

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5 Reads

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5 Citations

Pattern Recognition

A new classification method called The Outcome Advisor® (OA) is presented which is an outgrowth of statistical pattern recognition and the Patrick-Fischer Generalized K-nearest Neighbor Decision Rule. Involved are new definitions of relative frequency and correlation. Training examples are store and processing begins once findings (a focus) are presented. An almost unlimited number of inferences can be made as an inference system and any feature can be used to define categories as a classification system. Implementable as a new neural net structure which is distribution free, multi-dimensional dependencies in the feature space for each category are learned utilizing a new definition of relative frequency. The new method may help explain how certain neural net structures may be estimating multidimensional dependencies. The OA has been trained and tested on established data bases and has improved performance as measured by experimental probability of error.



The Heimlich maneuver. Best technique for saving any choking victim's life

June 1990

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258 Reads

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52 Citations

The American Red Cross (ARC) and the American Heart Association (AHA) advocated backslaps, chest thrusts, and abdominal thrusts for 10 years after the Heimlich maneuver was introduced in 1974. Even after the Surgeon General in 1985 declared these methods to be "hazardous, even lethal," the ARC and the AHA continue to recommend backslaps and chest thrusts for infants under 1 year of age. ARC and AHA instructional materials that advocate use of these methods have not been recalled, and the public has not been warned of the dangers. One cause of the confusion about backslaps is the flawed belief that gas pressure alone removes a foreign body. In addition, there is lack of understanding that, compared with the Heimlich maneuver, the backslap produces an insignificant amount of the energy required to expel an object from the airway. In fact, the energy produced by the backslap drives the foreign object in the wrong direction, toward the lungs, while the energy produced by the Heimlich maneuver drives the object away from the lungs, toward the mouth. Backslaps and chest thrusts should be publicly recalled as a treatment for choking infants before further deaths and injuries occur. The Heimlich maneuver is the best rescue technique for treating choking victims of all ages.


Using the Heimlich maneuver to save near-drowning victims

September 1988

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33 Reads

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29 Citations

Flooding of the lungs occurs routinely in drowning victims. The cause of death in 90% of them is hypoxemia caused by water in the lungs. Mouth-to-mouth ventilation is ineffective until the water is removed. The Heimlich maneuver expels aspirated water, vomitus, debris, and other foreign matter. In treating near-drowning victims, place the victim in the supine position with head turned to the side and perform the Heimlich maneuver to evacuate water from the lungs, unless you know water is not in the respiratory tract. The Heimlich maneuver is a form of artificial respiration. It elevates the diaphragm, increasing intrathoracic pressure and compressing the lungs, and should be performed intermittently until all water is expelled. It is an especially useful technique because fear of contagion sometimes deters rescuers from using mouth-to-mouth ventilation . Further treatment has not been necessary in most instances. If the victim does not recover after water ceases to flow from the mouth, ventilation techniques, cardiopulmonary resuscitation, and other measures as indicated should be used.


The Heimlich Maneuver and Drowning

January 1988

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13 Reads

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2 Citations

JAMA The Journal of the American Medical Association

To the Editor.— The anecdotal article by Dr Orlowski1 on the Heimlich maneuver for drowning omits references and case details. The author says that the Heimlich maneuver caused the patient to vomit and contributed to his poor outcome. Dr Orlowski does not cite a 1981 case report2 in which the Heimlich maneuver opened a 2-year-old child's intubated airway that was blocked by inhaled water; the child did not vomit. This article was referenced in the June 1986 "Standards and Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiac Care"3 and was discussed in an article by Dr Orlowski in 1982.4 Gordon and Terranova5 reported a similar case of a 2-year-old boy who vomited after cardiopulmonary resuscitation and arrived at the emergency department with a blocked airway, apnea, and no pulse. A Heimlich maneuver relieved the blocked airway and the child survived.Before the Heimlich maneuver was described



The Use of an Expert System in the Clinical Laboratory as an Aid in the Diagnosis of Anemia

June 1987

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10 Reads

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13 Citations

American Journal of Clinical Pathology

Experience with an expert system developed for the purpose of classification of anemias is presented. Input for this system consists of limited demographic information on each patient and the results of the complete blood count, with the incorporation of the results of further chemical testing (serum iron/total iron binding capacity/ferritin and serum B12/serum folate/red blood cell folate), if indicated. Performance of this system is demonstrated using data from 84 patients seen in the authors' laboratory selected either because of a request for evaluation by the attending physician or because of significant anemias. Using this limited input, the system was able to accurately classify 74 of 84 (88%) of cases according to previously established criteria. The output from the system is overread by a pathologist. Future directions are also discussed.




Citations (12)


... CONSULT-1 is based on the Patrick Model for Computer Assisted Consulting and Diagnosis in Medicine [1][2][3][4][5][6][7]. This model recognizes diseases as belonging to subsystems. ...

Reference:

Consult-1 IN: Automatic Diagnosis in Practice
CONSULTING AND DIAGNOSIS USING MICROCOMPUTERS.
  • Citing Article

... f AI, or "estimation" (SPR) [19,6,20]. elevated total CK and trace CK-MB present, to .89 for total CK elevated and CK-MB present. The significance of chest pain as the most important symptom for MI (no other feature considered) was .86, increasing to .94 with the presence of CK-MB. Similar relationships are given for other etiologies of chest pain. [8] and anemia [7] disorders. The features and stored records are a rich source for discovery of knowledge in the form of condition and outcome probabilities. While the knowledge base is an intermediate step in the development of a CONSULT-I expert system [6,7,19] , inferences and classifications from this data are of medical interest. In t ...

Application of a New Theorem of a posteriori Probabilities of Events to Medical Diagnosis
  • Citing Conference Paper
  • October 1983

Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care

... This distance is not limited to the geometrical distance but also be the abstract distance, e.g. Euclidean distance, Riemannian distance, Mahalanobis distance, or Kullback-Leibler distance [2]. A simple machine learning method such as the K-Nearest Neighbor (KNN) is Euclidean distance based [3]. ...

Artificial Intelligence with Statistical Pattern Recognition
  • Citing Article
  • January 1986

... We report the classification of four categories of chest pain --myocardial infarction (MI), ischemic, non-myocardial infarction (angina), nonischemic cardiac, and non-cardiac --using Consult Learning System ® (CLS). CLS, a system of statistical pattern recognition (SPR) and artificial intelligence (AI) operands, has previously been useful in classification of food choking [21], thyroid disorders [2], and anemias [3]. CLS is used for "learning by example" in the language of AI, or "estimation" (SPR) [19,6,20]. ...

Learning Sensitivity and Specificity of Laboratory Diagnosis of Thyroid Disorders Using Consult Learning System™ — An Example of Euthyroid Sick Syndrome
  • Citing Article
  • November 1984

Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care

... The new theorem on A posteriori Probability by Patrick provides for forming complex classes by CONCEPT FORMATION [5] [1], Learning Without a Teacher Type II; it applies here. There are many potential complex classes but they are formed a priori. ...

Mutually Exclusive Categories Statistically Dependent during Concept Formulation
  • Citing Article
  • November 1984

Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care

... One of the first fields of medical imaging that benefited from the introduction of ML techniques is breast imaging. The pioneer applications of ML to breast imaging date back to the 1990s and, predictably, were focused on the detection of microcalcifications and breast lesions on mammograms to overcome the limitations of conventional computer-assisted diagnosis systems [13][14][15]. These efforts were justified by the combination of high-volume workflow in mass screening and the intrinsic limitation of mammography, which remains the standard method for breast cancer screening but which clearly shows its imperfections in terms of both sensitivity and positive predictive value. ...

Expert Learning System Network for Diagnosis of Breast Calcifications
  • Citing Article
  • July 1991

Investigative Radiology

... This study revealed that 85.7% are familiar with "standing behind the child, encircling the child's chest with your hands, and squeezing is the first aid measure for a choking child" or the Heimlich maneuver that aims to open the airway of the choking person [28]. And for mothers, this study's results are not consistent with any other study that demonstrates a lack of knowledge of first aid. ...

The Heimlich maneuver. Best technique for saving any choking victim's life
  • Citing Article
  • June 1990

... Dr Henry Heimlich advocated use of abdominal thrusts in initial treatment of the drowning patient, claiming that aspirated water must first be cleared from the airway to allow proper ventilations. [74][75][76] In the 30 y since his original report, concern has been raised about this recommendation, resulting in an Institute of Medicine report and a systematic literature review by the American Red Cross. 77,78 All of these investigations failed to identify quality data to support use of the Heimlich maneuver before providing ventilations. ...

Using the Heimlich maneuver to save near-drowning victims
  • Citing Article
  • September 1988

... Red blood cell indices such as RDW were used to provide assistance in establishing a diagnosis in anemic patients [28], the probability curve for anemia obtained by RDW and other items from dietary iron density and weight gain rate were used to identify the risks of anemia [29]. Furthermore, as a new parameter, RDW had been introduced and a proposed classification of anemia based upon this new parameter had been evaluated [30]. The inclusion of RDW in the complete blood count had made diagnosing certain anemias easier [31]. ...

Evaluation of a new classification system for anemias using Consult Learning System
  • Citing Article
  • April 1986

Computer Methods and Programs in Biomedicine