This is the shuffled version of medtext_1, so the datapoints are in random order and not sorted by category. This is to prevent catastrophic forgetting by category.


This is a medical diagnosis dataset containing over 1000 top notch textbook quality patient presentations and diagnosis/treatments. The 100 most common diseases and the 30 most common injuries people go to the hospital with, are, among others, fully captured in the dataset, with multiple datapoints for each ranging from mild to complicated to severe. Full list below. The dataset also contains completions about the nature of the AI itself, that it never can replace a doctor and always emphasizes to go to a professional and some nonsensical or doubtful presentations. A model trained on this dataset explicitly tells when it CANNOT answer with confidence or if the presentation is insufficient. This is to prevent hallucinations. 


Medtext is a free to use (CC BY 4.0) dataset of over 1000 patient presentations and their diagnosis/treatment plans.
This is original data, converted into uniform datapoints using GPT-4.
We then pulled 10 random examples of the dataset and showed them to 3 different doctors, 2 of them involved and 1 of them uninvolved, and they all categorize the quality as „textbook quality“.

It’s content includes:

NOISE/DATA POLLUTION
*Dismissing of non-medical or non-psychological issues
*specifically asking for more information / admitting no possible diagnosis with confidence if insufficient data
*conflicting/contradicting and irrelevant information
*cases where symptoms are misleading to seemingly obvious diagnosis but actually being something different 
*information about the model (What are you? What can you do? Are you able to replace a doctor? This is to make the model humble and always emphasize that it can never replace a professional and it is just there to do some substitute analysis)

MISC
*emergency cases / first aid / almost fatal njuries that require emergency surgery
*injuries from crimes
*sexual injuries and STDs
*Infant specific cases
*Gynecological and urological cases
*genetic anomalies
*Previous medical mishandling
*Abuse/Overdosing/Misuse of drugs
*Cross side effects of drugs

ANALYSIS
*Textual analysis of blood tests, ultrasound, CT, MRI and X-ray examinations.

INJURIES:
* 		Sprains and strains
* 		Fractures
* 		Contusions (bruises)
* 		Cuts and lacerations
* 		Concussions
* 		Burns
* 		Dislocations
* 		Abrasions (scrapes)
* 		Whiplash injuries
* 		Eye injuries
* 		Puncture wounds
* 		Bites and stings
* 		Back injuries
* 		Broken nose
* 		Knee injuries
* 		Ankle injuries
* 		Shoulder injuries
* 		Wrist injuries
* 		Chest injuries
* 		Head injuries

DISEASES:
* 		Acne
* 		Allergies
* 		Alzheimer's Disease
* 		Anemia
* 		Angina
* 		Anxiety Disorders
* 		Arthritis
* 		Asthma
* 		Atherosclerosis
* 		Athlete's Foot
* 		Attention Deficit Hyperactivity Disorder (ADHD)
* 		Autism Spectrum Disorder
* 		Back Pain
* 		Bipolar Disorder
* 		Bronchitis
* 		Cataracts
* 		Chickenpox
* 		Chronic Obstructive Pulmonary Disease (COPD)
* 		Common Cold
* 		Conjunctivitis (Pink Eye)
* 		Constipation
* 		Coronary Heart Disease
* 		Cystitis
* 		Dementia
* 		Depression
* 		Diabetes Type 1
* 		Diabetes Type 2
* 		Diarrhea
* 		Diverticulitis
* 		Dizziness (Vertigo)
* 		Ear Infections
* 		Eczema
* 		Endometriosis
* 		Erectile Dysfunction
* 		Fibromyalgia
* 		Flu (Influenza)
* 		Food Poisoning
* 		Gallstones
* 		Gastroenteritis
* 		Gastroesophageal Reflux Disease (GERD)
* 		Gout
* 		Hay Fever (Allergic Rhinitis)
* 		Headaches
* 		Heart Failure
* 		Hemorrhoids
* 		Hepatitis B
* 		Hepatitis C
* 		Herpes Simplex Virus (HSV)
* 		High Blood Pressure (Hypertension)
* 		High Cholesterol (Hypercholesterolemia)
* 		HIV/AIDS
* 		Hyperthyroidism (Overactive Thyroid)
* 		Hypothyroidism (Underactive Thyroid)
* 		Inflammatory Bowel Disease (Including Crohn's and Ulcerative Colitis)
* 		Insomnia
* 		Iron Deficiency Anemia
* 		Irritable Bowel Syndrome (IBS)
* 		Kidney Stones
* 		Lactose Intolerance
* 		Lyme Disease
* 		Macular Degeneration
* 		Malaria
* 		Menopause
* 		Migraine
* 		Multiple Sclerosis
* 		Obesity
* 		Osteoarthritis
* 		Osteoporosis
* 		Otitis Media (Middle Ear Infection)
* 		Pancreatitis
* 		Parkinson's Disease
* 		Peptic Ulcers
* 		Periodontal Disease
* 		Pneumonia
* 		Polycystic Ovary Syndrome (PCOS)
* 		Prostate Enlargement (Benign Prostatic Hyperplasia)
* 		Psoriasis
* 		Pulmonary Embolism
* 		Restless Legs Syndrome
* 		Rheumatoid Arthritis
* 		Rosacea
* 		Schizophrenia
* 		Sciatica
* 		Scoliosis
* 		Seasonal Affective Disorder (SAD)
* 		Sinusitis
* 		Skin Cancer
* 		Sleep Apnea
* 		Strokes
* 		Tendonitis
* 		Tonsillitis
* 		Tuberculosis
* 		Urinary Tract Infection (UTI)
* 		Varicose Veins
* 		Vitiligo
* 		Yeast Infection (Candidiasis)
* 		Zika Virus
license:cc-by-4.0 region:us
{"license": "cc-by-4.0"}
TAGS
#license-cc-by-4.0 #region-us 

This is the shuffled version of medtext_1, so the datapoints are in random order and not sorted by category. This is to prevent catastrophic forgetting by category.


This is a medical diagnosis dataset containing over 1000 top notch textbook quality patient presentations and diagnosis/treatments. The 100 most common diseases and the 30 most common injuries people go to the hospital with, are, among others, fully captured in the dataset, with multiple datapoints for each ranging from mild to complicated to severe. Full list below. The dataset also contains completions about the nature of the AI itself, that it never can replace a doctor and always emphasizes to go to a professional and some nonsensical or doubtful presentations. A model trained on this dataset explicitly tells when it CANNOT answer with confidence or if the presentation is insufficient. This is to prevent hallucinations. 


Medtext is a free to use (CC BY 4.0) dataset of over 1000 patient presentations and their diagnosis/treatment plans.
This is original data, converted into uniform datapoints using GPT-4.
We then pulled 10 random examples of the dataset and showed them to 3 different doctors, 2 of them involved and 1 of them uninvolved, and they all categorize the quality as „textbook quality“.

It’s content includes:

NOISE/DATA POLLUTION
*Dismissing of non-medical or non-psychological issues
*specifically asking for more information / admitting no possible diagnosis with confidence if insufficient data
*conflicting/contradicting and irrelevant information
*cases where symptoms are misleading to seemingly obvious diagnosis but actually being something different 
*information about the model (What are you? What can you do? Are you able to replace a doctor? This is to make the model humble and always emphasize that it can never replace a professional and it is just there to do some substitute analysis)

MISC
*emergency cases / first aid / almost fatal njuries that require emergency surgery
*injuries from crimes
*sexual injuries and STDs
*Infant specific cases
*Gynecological and urological cases
*genetic anomalies
*Previous medical mishandling
*Abuse/Overdosing/Misuse of drugs
*Cross side effects of drugs

ANALYSIS
*Textual analysis of blood tests, ultrasound, CT, MRI and X-ray examinations.

INJURIES:
* 		Sprains and strains
* 		Fractures
* 		Contusions (bruises)
* 		Cuts and lacerations
* 		Concussions
* 		Burns
* 		Dislocations
* 		Abrasions (scrapes)
* 		Whiplash injuries
* 		Eye injuries
* 		Puncture wounds
* 		Bites and stings
* 		Back injuries
* 		Broken nose
* 		Knee injuries
* 		Ankle injuries
* 		Shoulder injuries
* 		Wrist injuries
* 		Chest injuries
* 		Head injuries

DISEASES:
* 		Acne
* 		Allergies
* 		Alzheimer's Disease
* 		Anemia
* 		Angina
* 		Anxiety Disorders
* 		Arthritis
* 		Asthma
* 		Atherosclerosis
* 		Athlete's Foot
* 		Attention Deficit Hyperactivity Disorder (ADHD)
* 		Autism Spectrum Disorder
* 		Back Pain
* 		Bipolar Disorder
* 		Bronchitis
* 		Cataracts
* 		Chickenpox
* 		Chronic Obstructive Pulmonary Disease (COPD)
* 		Common Cold
* 		Conjunctivitis (Pink Eye)
* 		Constipation
* 		Coronary Heart Disease
* 		Cystitis
* 		Dementia
* 		Depression
* 		Diabetes Type 1
* 		Diabetes Type 2
* 		Diarrhea
* 		Diverticulitis
* 		Dizziness (Vertigo)
* 		Ear Infections
* 		Eczema
* 		Endometriosis
* 		Erectile Dysfunction
* 		Fibromyalgia
* 		Flu (Influenza)
* 		Food Poisoning
* 		Gallstones
* 		Gastroenteritis
* 		Gastroesophageal Reflux Disease (GERD)
* 		Gout
* 		Hay Fever (Allergic Rhinitis)
* 		Headaches
* 		Heart Failure
* 		Hemorrhoids
* 		Hepatitis B
* 		Hepatitis C
* 		Herpes Simplex Virus (HSV)
* 		High Blood Pressure (Hypertension)
* 		High Cholesterol (Hypercholesterolemia)
* 		HIV/AIDS
* 		Hyperthyroidism (Overactive Thyroid)
* 		Hypothyroidism (Underactive Thyroid)
* 		Inflammatory Bowel Disease (Including Crohn's and Ulcerative Colitis)
* 		Insomnia
* 		Iron Deficiency Anemia
* 		Irritable Bowel Syndrome (IBS)
* 		Kidney Stones
* 		Lactose Intolerance
* 		Lyme Disease
* 		Macular Degeneration
* 		Malaria
* 		Menopause
* 		Migraine
* 		Multiple Sclerosis
* 		Obesity
* 		Osteoarthritis
* 		Osteoporosis
* 		Otitis Media (Middle Ear Infection)
* 		Pancreatitis
* 		Parkinson's Disease
* 		Peptic Ulcers
* 		Periodontal Disease
* 		Pneumonia
* 		Polycystic Ovary Syndrome (PCOS)
* 		Prostate Enlargement (Benign Prostatic Hyperplasia)
* 		Psoriasis
* 		Pulmonary Embolism
* 		Restless Legs Syndrome
* 		Rheumatoid Arthritis
* 		Rosacea
* 		Schizophrenia
* 		Sciatica
* 		Scoliosis
* 		Seasonal Affective Disorder (SAD)
* 		Sinusitis
* 		Skin Cancer
* 		Sleep Apnea
* 		Strokes
* 		Tendonitis
* 		Tonsillitis
* 		Tuberculosis
* 		Urinary Tract Infection (UTI)
* 		Varicose Veins
* 		Vitiligo
* 		Yeast Infection (Candidiasis)
* 		Zika Virus
TAGS
#license-cc-by-4.0 #region-us 

passage: TAGS
#license-cc-by-4.0 #region-us 
