RHINOS: A Consultation System for Diagnoses of Headache and Facial Pain
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 393-395.
© 1985 International Joint Conferences on Artificial Intelligence
Abstract
How do doctors make diagnoses based on their medical knowledge? In this paper a hypothesis is proposed concerning a diagnostic method used by doctors . The knowledge for the hypothesis has been provided by an authority In the field of medicine, and a diagnost ic system for headache and facial pain, named RHINOS , has been Implemented using the programming language Prolog, which Is operative on an NEC PC-9801 microcomputer . Because It Is operative on a microcomputer, RHINOS is portable and readily available . RHINOS has four kinds of rules : two levels of rules perform as forward links from manifestations to diseases . It also has disease- images that act as backward links from manifestations to diseases. It also has disease-images that act as backward links from diseases to manifestations. Through harmonious use of this knowledge, RHINOS makes not only single diagnosis but also makes different i al-d i agnoses . It also di agnoses cases of complications of two or more diseases. The disease-Image link made this possible. RHINOS was used to diagnose 50 patients and 82% of Its di agnostic results were equal to those made by a specialist , 16% were close to those made by a specialist . T his shows that RHINOS is capable of diagnosing patients in almost the same way as a specialist .
- REFERENCES Matsumura, Y., Matsunaga, T., et. al., "Consultation Sys- tem for Diagnosis of Headache and Facial Pain : RHINOS ", In Proc. 4th lryojohogaku-Rengotaikai, Tokyo, Japan, 1984. pp. 766-771.(1n Japanese)
- Shortliffe, E. H., "Computer-base medical Consultations: MYCIN", American Elsevier, New York, 1976.
- Weiss, S. M., Kulikowski, C. A., "Glaucoma Consultation by Computer", Computers in Biology and Medicine, 8 :25-40, 1978.
- Pople, H. E. Jr., "Heuristic Methods for Imposing Structure on Ill-structured Problems: The Structuring of Medical Diagnostics", in Szolovits, E. (ed.), Artificial Intelligence In Medicine, Westview Press, Colorado, 1982.
- Friedman, A. P., "Classification of Headache", Achieve- ments of Neurology, 6 : 1 73, 1 962.
- Sakuragawa, T., "Prolog-KABA Manual", Iwasaki Giken, Kyoto, 1984.(1n Japanese)
- Kimura, M., Shimizu, k., et.al., "Knowledge Based Antibiotic Medication Counselling System: ANTICIPATOR and Its Implementation by Prolog", In Proc. MEDINF0-83. Amster- dam, Netherlands, 1 983, pp. 589-592.
References were extracted automatically from the PDF and may contain errors.
Full text extracted automatically from the PDF; figures, tables and equations may differ. The PDF is the version of record.
1. Input
RHINOS first requires that Information on the following 15 Items be screened.
Age Sex Pain location Nature of the pain Severity of the pain
History since onset
Frequency of the paroxysm
Duration of the paroxysm
Prodromal syndrome
Concurrent neurological sign during the paroxysm
Interval of the paroxysm
State of sleep
Ratio of present pain severity to the past severest period Tender spot
After acquiring information on these 15 signs, RHINOS applies rules for the case. If more information is required by the system, additional questions will appear on the screen.
2. Knowledge base
The knowledge base of RHINOS is mainly comprised of five kinds of knowledge, described earlier in this paper. The number of rules and images are as follows.
D-rule, SS-rule, WS-rule: 126
A-rule: 57
Disease-Image: 36
3. Inference engine
Procedure of inference sequence was described earlier in this paper (see II).
4. Output
Output is not a final diagnosis but a list of the possibilities from the view of anamneses and physical examinations. An example is given in fig. 2 .
V EVALUATION
Fifty cases of patients whose chief complaints was headache and/or facial pain were surveyed at Kansai Medical College, Department of Neurosurgery. A comparison was then made between the RHINOS diagnosis and that of a human expert (Professor of the department), whose diagnosis was based on the medical records of anamneses and physical examinations only.
In 40 out of 50 cases, both the RHINOS' and the doctor's diagnoses coincided. In the 1 0 other cases the following problems arose:
Type 1. RHINOS did not rule out a disease the expert ruled out. (5 cases)
Type 2 . RHINOS stated "This case may be disease. d1, but manifestation mj can't be explained." The expert rejected this possibility. (2 cases)
Type 3. RHINOS stated only one disease with "manifestation m j can't be explained" The expert concluded that the case was a complications of two diseases. (1 case)
Type 4. RHINOS could not provide conclusive information because the disease was very rare and no existing rule applied to that disease. (1 case)
Type 5. The medical record was apparently erroneous. (1 case)
Actually, there is no serious problem in Type 1. Even in Types 2 and 3, RHINOS provided a suggestion for the right answer. Discarding Type 5, the authors reacned the following conclusions:
tttttttttttttttt RHINOS Dia~nostic Conclusions +tttttttttttttt++++++++++·
tl ARTERIOSCLEROTIC HEADACHE is stroMlY suspected , tl
l!ecaus@
History since onset Nature of Pain
Sclerosis of retinal artery Pain a~~revated
Furthermore, Tenderness
Jolt headache
: WavY continuous
: Continuous Pain
Diurnal variation
Yes
EsPeciallY in the aornins,
Al ( ri~htl <definite Pain)
Al <left) (definite Pain)
: Answer Yes Just after Joltin~
these manifestations stren~then the certainty of this di·a~nostic belief,
- tl There is sooe Possibility of INTRACRANIAL HASS LESION. tl
Because
Jolt headache
: Answer yes Just after Joltin~.
But this dia~nosis cannot exPlain the following oanifestations: Sclerosis of retinal arterY : Yes.
- U There is some PossibilitY of SYHPTOHS OF OTHER DISEASES, tt
Because
Ratio or Present severity of Pain compared .to Past severest Period
HistorY since onset Jolt headache
Further·ore' Tenderness
: Wavy contiuous
: Here than 5/10
: Answer Yes Just after Joltins.
: Al <riShtl <definite Pain)
Al (left) (definite Pain) these ·ani festations strensthen the certaintw of this diasnostic belief,
But this dia~nosis cannot exPlain the following unifestations: Sclerosis of retinal arterY : Yes,
Following diseases must be differentiated: AUTONOMIC DISTURBANCE
Coincided with the expert: 82% Answered with little discordance: 16% Discordance: 2%
The result show that RHINOS is capable of providing almost the same as a human expert. However, the following problems still remain.
- The disease-image of RHINOS is a set of manifestations of a disease that can arise, but the disease image of a human expert is far more complex. This made it impossible for RHINOS to rule out a disease that the expert ruled out.
- 2 . Because manifestations of headache and/or facial pain are rather subjective, a certain amount of ambiguity must be accouted for in the information obtained. The human expert put emphasis on the key manifestations, which he then recon firmed in many ways in order to get the information as correct as possible. RHINOS does not do this.
VI FINALING REMARKS
RHINOS is now used mainly by the resident staff in the office of the Department of Neurosurgery. It is also used as CAl for students. The portab!Uty of the system, as well as the quality of consultation, enhanced the actual use of this sys tem.
As noted before, In order for this system to make more pre cise diagnoses for patients suffering from more than one disease, the introduction of classifications of disease-image (necessary image, sufficient image, exclusionary image, etc.) will prove effective in diagnosis.
The authors are already planning some other improvements on the system. It is planned for RHINOS to focus on and reconfirm key manifestations that are fundamental to diag nosis.
The authors are already planning some other improvements on this sytem. It is planned for RHINOS to focus on and recon firm key manifestations that are fundamental to diagnosis. Plans also exists for RHINOS to suggest, 1) what laboratory examinations be examined in order that a more precise diag nosis may be achieved; and, 2) methods of treatment beyond diagnosis.
In this project, the authors confirmed their hypothesis to the domain of headache diagnosis, even though it was a subjective-fact oriented domain. Being so close to the funda mental procedure of doctors' diagnoses, this hypothesis can be applied to other diagnostic domain as well.
@inproceedings{ijcai1985p74,
title = {RHINOS: A Consultation System for Diagnoses of Headache and Facial Pain},
author = {Kimura, Michio and Matsumura, Yasushi and Matsunaga, Takashi and Hata, Ryuji and Matsumura, Hiroshi},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {393--395},
year = {1985},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1985/74},
}
TY - CPAPER TI - RHINOS: A Consultation System for Diagnoses of Headache and Facial Pain AU - Kimura, Michio AU - Matsumura, Yasushi AU - Matsunaga, Takashi AU - Hata, Ryuji AU - Matsumura, Hiroshi T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 393 EP - 395 UR - https://ijcai.org/proceedings/1985/74 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: