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Prof. Yuval Shahar<br />

An Enterprising Magician<br />

32 BGU NOW<br />

W<br />

hat happens when you cross a<br />

math genius with a future<br />

doctor? To that theoretical question<br />

we give one answer: Prof. Yuval<br />

Shahar. Shahar is one of the few who<br />

have combined the study of<br />

medicine (for a medical degree at<br />

the Hebrew University of Jerusalem)<br />

with mathematics and computers<br />

(for a Masters degree at Bar-Ilan<br />

University), which has placed him<br />

at the forefront of the emerging field<br />

of Medical Bioinformatics. After his<br />

military service as a medic he won<br />

a scholarship for a Masters program<br />

at Yale University, where he studied<br />

artificial intelligence (AI).<br />

Two years later, he was accepted<br />

to a doctoral program at Stanford<br />

University headed by Prof. Edward<br />

Shortliffe. Stanford is the academic<br />

world’s center of medical<br />

informatics and it was there that<br />

Shahar was truly bitten by the<br />

medical informatics bug. He was to<br />

spend ten years in Stanford, first as<br />

a doctoral student, then a faculty<br />

member, and was the recipient of<br />

several prestigious prizes and<br />

awards, including a National<br />

Institute of Health 5-year personal<br />

FIRST award for research and an<br />

award from the National Science<br />

Foundation to develop his<br />

theoretical work on temporal<br />

reasoning.<br />

Shahar came from Stanford to<br />

BGU in 2000, joining the Department<br />

of Information Systems Engineering,<br />

which he now chairs. He also<br />

established the Medical Informatics<br />

Research Center (MIRC) which he<br />

heads, thus making the jump from<br />

theoretical to applied research.<br />

Shahar and his team of researchers<br />

use AI technology to develop<br />

complex computer programs that<br />

are capable of monitoring and<br />

processing large amounts of data<br />

over lengthy time periods. This<br />

technology has earned Shahar the<br />

reputation as an international expert<br />

in automated medical-decision<br />

support systems.<br />

The names of these complex<br />

computer programs have roots in<br />

several languages: from the Hebrew<br />

IDAN (epoch) and DeGel (flag) to<br />

Vayduria (a Tibetan healer) to the<br />

acronym KNAVE, for Knowledgebased<br />

Navigation, Abstraction,<br />

Visualization and Exploration. But<br />

the one he describes with the most<br />

enjoyment evokes associations in all<br />

English-speakers: the Spock Hybrid<br />

Runtime Application Model – or,<br />

simply, “Spock,” named after Mr.<br />

Spock of the 1960s TV series Star<br />

Trek.<br />

“Various medical associations in<br />

the United States produce what they<br />

call ‘guidelines’ for physicians,”<br />

explains Shahar. “These are text<br />

guides with explanations of how to<br />

treat everything from hypertension<br />

to diabetes and they are very useful,<br />

but few physicians actually use<br />

them because of lack of time. One<br />

of my goals was to computerize<br />

these guidelines into a more<br />

available format for diagnostic<br />

purposes. Also, these guidelines<br />

often <strong>cover</strong> conditions in a general<br />

way, such as ‘treatment of diabetes,’<br />

while Spock allows greater<br />

complexity, such as ‘diabetes in a<br />

pregnant woman with high blood<br />

pressure.’<br />

“Another problem I wanted to<br />

solve was the large amounts of data<br />

that a physician must process in a<br />

short amount of time. Family<br />

doctors may treat patients who have<br />

suffered from diabetes for decades;<br />

these patients accumulate results of<br />

tests with hundreds of items of data.<br />

The physician must monitor these<br />

patients for numerous complications<br />

such as renal insufficiency,<br />

neuropathy (numbness) of limbs,<br />

ulcers or toxicity toward drugs – all<br />

Spock suggests guidelines, but the physician<br />

can overrule or modify them. It’s the doctor<br />

who's in charge<br />

this, again, in a typically short visit<br />

that must address the patient’s<br />

present complaints in the context of<br />

accumulated data that may reveal<br />

trends. Is it any wonder that the<br />

physician is likely to miss subtle<br />

patterns of change?<br />

“That’s where the KNAVE visual<br />

exploration module comes in. It<br />

relies on the underlying IDAN<br />

module, which performs what we<br />

call temporal abstraction–<br />

interpretation of clinical data<br />

accumulating over time and their<br />

summarization as clinically<br />

meaningful patterns. We’ve found<br />

that it takes only about ten minutes<br />

to teach physicians how to use<br />

KNAVE and a few seconds for the<br />

IDAN/KNAVE combination to<br />

review the online blood tests and<br />

records and then tap the doctor on<br />

the shoulder and say: this patient

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