Carlos Feder MD

MD solo practice

Palo Alto

Professional summary

Carlos Feder was born in Vienna, Austria. He graduated from the School of Medicine, University of Buenos Aires, Argentina. In that country he practiced internal medicine for 30 years and at the same time taught this specialty at the University Hospital. For the past half century, his obsession to invent and improve an algorithm of computerizing medical diagnosis led him to review existing relevant literature, publish papers, and secure research grants from Roemmers pharmaceuticals. In 1983, he immigrated to Palo Alto, California, where he practiced his specialty for another 19 years before retiring in 2002. Since then he dedicated most of his time organizing his experience and novel ideas, and describing his medical diagnostic algorithm that promises to be a breakthrough in the field. Author of two books: Computerized Medical Diagnosis: a Novel Solution to an Old Problem (2006), and A Practical Computer Program that Diagnoses Diseases in Actual Patients (2008), coauthored with Tomás Feder.

Specialties and Interests

Internal Medicine

Education

Universities

University of Buenos Aires

MD

1947 to 1954

Postgraduate Training

University of Buenos, Argentina

1957 to 1963

A six year theoretical and practical course to be certified as professor of medicine

Internship and Residency

1952 to 1954

Licenses/Certifications

Professor of Internal Medicine at the University of Buenos Aires, Argentina

1963

Teaching Internal Medicine at the University Hospital in Buenos Aires, Argentina, from 1963 until 1983

Experience

Practice of Internal Medicine for 50 years

Privat solo practice

1954 to present

30 years in Buenos Aires, Argentina, and over 20 years in Palo Alto, California, USA

Professor of Internal Medicine at the University of Buenos Aires, Argentina

University Hospital in Buenos Aires, Argentina

1963 to 1983

Attending physician at the University Hospital in Buenos Aires, Argentina

University Hospital in Buenos Aires, Argentina

1954 to 1983

Publications

Books

A Practical Computer Program that Diagnoses Diseases in Actual Patients

Infinity publishing.com

1094 New Dehaven Street, Suite 100, West Conshohocken, PA 19428-2713

2008

Existing diagnostic programs typically offer only limited diagnostic information and are considered clinical training tools rather than an aid to diagnose diseases afflicting actual patients. Our computer system offers the following novel advantages:•It confirms one or more diseases that indeed afflict a specific patient, instead of a long list of potential diagnoses.•It diagnoses concurrent diseases afflicting simultaneously a specific patient.•It calculates accurately the probability of each diagnosis with our novel mini-max procedure.•It gives primary importance to the overall cost of obtaining each clinical datum, considering involved expence, discomfort, and risk of the procedure.•It recommends a set of probabilistically calculated best cost-benefit clinical data to investigate next in the patient.

Computerized Medical Diagnosis: a Novel Solution to an Old Problem

Infinity publishing.com

1094 New Dehaven Street, Suite 100, West Conshohocken, PA 19428-2713

2006

A novel algorithm that diagnoses diseases that afflict an actual patient, as opposed to existing programs that are useful only for diagnostic training purposes. Emulating human reasoning, it accurately solves complex medical diagnostic problems: • It determines whether several differential diagnoses compete for a single final diagnosis or represent concurrent diseases. • It recommends the most cost-effective symptoms, signs, or tests next to be investigated so as to efficiently achieve a final diagnosis. More importantly, it recommends the best set of these manifestations to be investigated simultaneously, which can be especially important in an emergency. • It detects when disease manifestations have been modified by interactions of concurrent diseases or medications. • It calculates more accurately than Bayes formula the probability of each differential diagnosis with a novel method that the author calls mini-max procedure.