Baby Birth Weight Predictor Calculator

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Baby Birth Weight Predictor Calculator

Estimate Your Baby's Potential Birth Weight

Baby Birth Weight Predictor

Enter the number of weeks of pregnancy (e.g., 39 for 39 weeks).
Enter mother's height in centimeters (cm).
Enter total weight gained during pregnancy in kilograms (kg).
Enter mother's age in years.
Enter the number of previous full-term births.
Caucasian African Asian Hispanic Other
Select the mother's ethnicity.

Your Baby's Estimated Birth Weight

Estimated Fetal Weight (EFW): kg
Growth Percentile:
Potential Range: kg
Formula Explanation: This predictor uses a simplified model based on established obstetric formulas that consider gestational age, maternal anthropometrics (height, weight gain), maternal age, parity, and ethnicity. These factors collectively influence fetal growth potential. The output provides an estimated fetal weight (EFW) and its percentile ranking, along with a likely range.

Birth Weight Data Table

Typical Birth Weight Percentiles by Gestational Age
Gestational Age (Weeks) 50th Percentile (Average) 10th Percentile (Small) 90th Percentile (Large)
36 2.70 kg 2.20 kg 3.30 kg
37 2.85 kg 2.35 kg 3.45 kg
38 3.00 kg 2.50 kg 3.60 kg
39 3.15 kg 2.65 kg 3.75 kg
40 3.30 kg 2.80 kg 3.90 kg
41 3.40 kg 2.90 kg 4.00 kg

Birth Weight Growth Chart

Chart shows estimated fetal weight (EFW) progression based on gestational age, with percentile bands.

What is Baby Birth Weight Prediction?

The baby birth weight predictor calculator is a tool designed to estimate the potential weight of a baby at birth. It utilizes various maternal and fetal factors to provide an educated guess, helping expectant parents and healthcare providers anticipate the baby's size. This prediction is crucial for planning delivery, managing potential complications, and ensuring the baby's health post-birth.

Who should use it? Expectant mothers, particularly those in their third trimester, can use this tool. It's also valuable for obstetricians, midwives, and prenatal care providers to supplement their clinical assessments. Understanding potential birth weight can inform decisions about delivery methods (vaginal vs. C-section) and identify babies who might be at risk for being small for gestational age (SGA) or large for gestational age (LGA).

Common misconceptions: A primary misconception is that these calculators provide an exact weight. In reality, they offer an estimate. Another is that the prediction is solely based on gestational age; while important, many other factors contribute significantly. Finally, some believe that a predicted large or small baby automatically means complications, which isn't always the case, as babies adapt differently.

Baby Birth Weight Predictor Formula and Mathematical Explanation

The estimation of a baby's birth weight is a complex process, and various models exist. Our baby birth weight predictor calculator employs a simplified, yet effective, approach that integrates key variables known to influence fetal growth. While precise clinical ultrasound measurements are the gold standard, this calculator offers a valuable estimation based on readily available maternal and pregnancy data.

The core idea is that fetal growth is influenced by the maternal environment and genetic predispositions. Factors like the mother's physical characteristics, her nutritional status (reflected in weight gain), her age, and previous pregnancy history all play a role. Gestational age is paramount, as it dictates the developmental stage of the fetus.

A common approach in obstetric practice involves using nomograms and statistical models. For instance, a simplified regression model might look something like this:

Estimated Fetal Weight (kg) = Intercept + (β1 * Gestational Age) + (β2 * Maternal Height) + (β3 * Maternal Weight Gain) + (β4 * Maternal Age) + (β5 * Parity) + (β6 * Ethnicity Factor) + Error Term

Where:

  • Intercept and β coefficients are derived from statistical analysis of large datasets of pregnant women and their babies. These coefficients represent the average impact of each variable on birth weight.
  • Gestational Age (weeks): The duration of the pregnancy.
  • Maternal Height (cm): Taller mothers often have larger babies due to pelvic size and potentially better uterine capacity.
  • Maternal Weight Gain (kg): Adequate weight gain is essential for fetal nutrition and growth.
  • Maternal Age (years): Age can influence hormonal balance and metabolic factors affecting fetal growth.
  • Parity (number): First-time mothers (nulliparous) may have slightly different outcomes than those who have given birth before (multiparous).
  • Ethnicity Factor: Different ethnic groups have statistically different average birth weights, likely due to a combination of genetic and socioeconomic factors. This is often represented by dummy variables or specific multipliers.
  • Error Term: Accounts for all other unmeasured factors.

The calculator then uses this EFW to estimate a percentile, indicating how the baby's weight compares to others of the same gestational age and sex. A potential range is also provided to reflect the inherent variability.

Variables Table

Input Variable Details
Variable Meaning Unit Typical Range
Gestational Age Duration of pregnancy from the first day of the last menstrual period. Weeks 24 – 42 weeks
Maternal Height Mother's standing height. Centimeters (cm) 140 – 190 cm
Maternal Weight Gain Total weight gained by the mother during pregnancy. Kilograms (kg) 5 – 25 kg
Maternal Age Mother's age at the time of delivery. Years 16 – 45 years
Parity Number of previous full-term births. Count 0 or more
Maternal Ethnicity Self-identified ethnic group of the mother. Category Caucasian, African, Asian, Hispanic, Other

Practical Examples (Real-World Use Cases)

Let's explore how the baby birth weight predictor calculator can be used with practical scenarios:

Example 1: Average Pregnancy

Scenario: Sarah is 30 years old, 168 cm tall, and has gained 14 kg during her pregnancy. She is currently at 38 weeks gestation and has had one previous full-term birth (parity 1). She identifies as Caucasian.

Inputs:

  • Gestational Age: 38 weeks
  • Maternal Height: 168 cm
  • Maternal Weight Gain: 14 kg
  • Maternal Age: 30 years
  • Parity: 1
  • Ethnicity: Caucasian

Calculator Output (Hypothetical):

  • Estimated Fetal Weight (EFW): 3.10 kg
  • Growth Percentile: 55th Percentile
  • Potential Range: 2.60 kg – 3.60 kg
  • Primary Result: 3.10 kg

Interpretation: Sarah's baby is estimated to weigh around 3.10 kg, which is slightly above average (50th percentile) for 38 weeks. The potential range suggests the baby could weigh anywhere between 2.60 kg and 3.60 kg. This information is reassuring and aligns with typical fetal growth patterns.

Example 2: Potential for Macrosomia

Scenario: Maria is 35 years old, 160 cm tall, and has gained 20 kg. She is 39 weeks pregnant and has had no previous births (parity 0). She identifies as Hispanic.

Inputs:

  • Gestational Age: 39 weeks
  • Maternal Height: 160 cm
  • Maternal Weight Gain: 20 kg
  • Maternal Age: 35 years
  • Parity: 0
  • Ethnicity: Hispanic

Calculator Output (Hypothetical):

  • Estimated Fetal Weight (EFW): 3.85 kg
  • Growth Percentile: 88th Percentile
  • Potential Range: 3.25 kg – 4.45 kg
  • Primary Result: 3.85 kg

Interpretation: Maria's baby is estimated to weigh 3.85 kg, placing it in the 88th percentile. This suggests the baby is on the larger side (approaching LGA – Large for Gestational Age). The upper end of the potential range (4.45 kg) warrants discussion with her healthcare provider regarding delivery options, especially considering potential risks associated with macrosomia, such as birth injuries or difficulties during vaginal delivery. This prediction prompts further clinical evaluation.

How to Use This Baby Birth Weight Predictor Calculator

Using the baby birth weight predictor calculator is straightforward. Follow these steps to get your estimated birth weight:

  1. Gather Information: Have the following details ready:
    • Your current gestational age in weeks.
    • Your height in centimeters.
    • Your total weight gained during pregnancy in kilograms.
    • Your age in years.
    • The number of previous full-term births (parity).
    • Your ethnicity.
  2. Enter Data: Input each piece of information accurately into the corresponding fields on the calculator. Ensure you use the correct units (weeks, cm, kg, years).
  3. Calculate: Click the "Calculate" button.
  4. Review Results: The calculator will display:
    • Primary Result: The most likely estimated birth weight in kilograms.
    • Estimated Fetal Weight (EFW): The calculated weight.
    • Growth Percentile: Where the baby's estimated weight falls compared to other babies of the same gestational age.
    • Potential Range: A likely range (e.g., 10th to 90th percentile) for the baby's weight.
  5. Understand the Formula: Read the brief explanation provided to understand the basis of the calculation.
  6. Use the Chart and Table: Refer to the chart and table for visual context and comparison with typical growth patterns.
  7. Copy Results (Optional): If you need to share the results or save them, use the "Copy Results" button.
  8. Reset: If you need to start over or correct an entry, click the "Reset" button.

Decision-Making Guidance: Remember, this calculator provides an estimate, not a definitive diagnosis. Discuss the results with your healthcare provider. They can interpret the prediction in the context of your overall health, conduct clinical assessments (like fundal height measurements or ultrasounds), and provide personalized advice regarding your pregnancy and delivery plan. High or low percentile predictions may warrant further investigation or specific management strategies.

Key Factors That Affect Baby Birth Weight Results

Several factors influence a baby's birth weight, and understanding these can help interpret the predictions from a baby birth weight predictor calculator:

  1. Gestational Age: This is the most significant factor. Babies born closer to their due date (around 40 weeks) are generally heavier than premature babies. The longer the gestation, the more time the fetus has to grow and gain weight.
  2. Genetics: Parental size plays a role. If both parents are tall and large-framed, their baby is more likely to be larger. Conversely, smaller parents tend to have smaller babies. This is a fundamental aspect of fetal development.
  3. Maternal Nutrition and Weight Gain: Adequate caloric and nutrient intake is vital for fetal growth. Insufficient weight gain can lead to a smaller baby (SGA), while excessive gain might indicate a larger baby (LGA) or gestational diabetes. The quality of nutrients matters as much as the quantity.
  4. Maternal Health Conditions: Conditions like gestational diabetes can lead to macrosomia (excessively large babies) due to higher glucose levels crossing the placenta. Preeclampsia or placental insufficiency can restrict fetal growth, resulting in SGA babies. Managing these conditions is key to healthy fetal development.
  5. Previous Birth History (Parity): Women who have previously delivered large babies are statistically more likely to have another large baby. Similarly, a history of SGA babies can sometimes indicate a predisposition.
  6. Maternal Age: While not always a primary driver, very young mothers or mothers over 35 may have slightly different birth weight outcomes due to hormonal and metabolic differences.
  7. Ethnicity: Statistical data shows variations in average birth weights across different ethnic groups, influenced by a complex interplay of genetics, diet, socioeconomic factors, and healthcare access.
  8. Sex of the Baby: Male fetuses tend to grow slightly faster and are often heavier at birth than female fetuses, although this difference is usually minor.

Frequently Asked Questions (FAQ)

Q1: How accurate is a baby birth weight predictor calculator?

A: These calculators provide estimates based on statistical models. Accuracy can vary, typically within a range of +/- 10-15%. Clinical ultrasound measurements are generally more precise but still have a margin of error.

Q2: Can this calculator predict if my baby will be large or small for gestational age (LGA/SGA)?

A: Yes, by looking at the calculated percentile. Percentiles below the 10th are typically considered SGA, and above the 90th are considered LGA. Discuss these classifications with your doctor.

Q3: Does my height significantly impact my baby's birth weight?

A: Yes, maternal height is a factor. Taller mothers often have more room for the baby to grow and may have larger pelvic structures, potentially leading to larger babies compared to shorter mothers, all other factors being equal.

Q4: I gained a lot of weight during pregnancy. Does this guarantee a big baby?

A: Significant weight gain can be associated with larger babies, especially if it's due to conditions like gestational diabetes. However, it's not a guarantee. The calculator considers weight gain alongside other factors.

Q5: How does ethnicity affect birth weight predictions?

A: Different ethnic groups have different average birth weights based on large population studies. The calculator incorporates this statistical difference, but individual variations are significant.

Q6: Should I worry if the calculator predicts a very high or very low birth weight?

A: Discuss any concerns with your healthcare provider. They can perform further assessments, such as ultrasounds, to get a more accurate picture and advise on management strategies if necessary.

Q7: Is the calculator different for boys and girls?

A: While male babies tend to be slightly heavier on average, this simplified calculator does not differentiate by sex. More complex models might include sex as a variable.

Q8: Can I use this calculator multiple times during my pregnancy?

A: Yes, you can use it as your pregnancy progresses. As your gestational age and weight gain change, the estimated birth weight will also update, reflecting the ongoing fetal development.

Related Tools and Internal Resources

function validateInput(id, min, max, errorId, fieldName) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); if (isNaN(value) || input.value.trim() === "") { errorElement.textContent = fieldName + " is required."; return false; } if (value max) { errorElement.textContent = fieldName + " cannot be greater than " + max + "."; return false; } errorElement.textContent = ""; return true; } function calculateBirthWeight() { var gestationalAge = parseFloat(document.getElementById("gestationalAge").value); var maternalHeight = parseFloat(document.getElementById("maternalHeight").value); var maternalWeightGain = parseFloat(document.getElementById("maternalWeightGain").value); var maternalAge = parseFloat(document.getElementById("maternalAge").value); var parity = parseFloat(document.getElementById("parity").value); var ethnicity = document.getElementById("ethnicity").value; var errors = false; errors = !validateInput("gestationalAge", 24, 42, "gestationalAgeError", "Gestational Age") || errors; errors = !validateInput("maternalHeight", 140, 190, "maternalHeightError", "Maternal Height") || errors; errors = !validateInput("maternalWeightGain", 5, 25, "maternalWeightGainError", "Maternal Weight Gain") || errors; errors = !validateInput("maternalAge", 16, 45, "maternalAgeError", "Maternal Age") || errors; errors = !validateInput("parity", 0, 100, "parityError", "Parity") || errors; if (errors) { document.getElementById("primaryResult").textContent = "–"; document.getElementById("estimatedFetalWeight").textContent = "–"; document.getElementById("growthPercentile").textContent = "–"; document.getElementById("potentialRange").textContent = "–"; updateChart([0], [0], [0]); // Clear chart return; } // Simplified model coefficients (these are illustrative and not clinically validated) // Real-world models are complex and proprietary or based on extensive research. var coefficients = { intercept: -10.5, gestationalAge: 0.25, maternalHeight: 0.02, maternalWeightGain: 0.05, maternalAge: 0.01, parity: 0.03, ethnicity: { caucasian: 0, african: 0.15, asian: -0.10, hispanic: 0.05, other: 0.02 } }; var ethnicityFactor = coefficients.ethnicity[ethnicity] || 0; var estimatedFetalWeight = coefficients.intercept + (coefficients.gestationalAge * gestationalAge) + (coefficients.maternalHeight * maternalHeight) + (coefficients.maternalWeightGain * maternalWeightGain) + (coefficients.maternalAge * maternalAge) + (coefficients.parity * parity) + ethnicityFactor; // Ensure EFW is within a reasonable range (e.g., > 0.5 kg) estimatedFetalWeight = Math.max(0.5, estimatedFetalWeight); estimatedFetalWeight = Math.round(estimatedFetalWeight * 100) / 100; // Round to 2 decimal places // Simplified percentile calculation (based on typical ranges for ~39 weeks) var percentile; var avgWeightAtGA = 3.15; // Approx 50th percentile at 39 weeks from table var sd = 0.4; // Standard deviation estimate if (gestationalAge 40) { percentile = 70 + (estimatedFetalWeight – 3.30) / (3.90 – 3.30) * 30; // Rough scaling for later weeks } else { // Interpolate based on the table for 36-40 weeks var baseAvg = 3.15; // 39 weeks var base10 = 2.65; // 39 weeks var base90 = 3.75; // 39 weeks if (gestationalAge === 39) { baseAvg = 3.15; base10 = 2.65; base90 = 3.75; } else if (gestationalAge === 38) { baseAvg = 3.00; base10 = 2.50; base90 = 3.60; } else if (gestationalAge === 40) { baseAvg = 3.30; base10 = 2.80; base90 = 3.90; } else if (gestationalAge === 37) { baseAvg = 2.85; base10 = 2.35; base90 = 3.45; } else if (gestationalAge === 36) { baseAvg = 2.70; base10 = 2.20; base90 = 3.30; } else if (gestationalAge === 41) { baseAvg = 3.40; base10 = 2.90; base90 = 4.00; } var weightDiff = estimatedFetalWeight – base10; var range = base90 – base10; percentile = (weightDiff / range) * 100; } percentile = Math.max(0, Math.min(100, percentile)); // Clamp percentile between 0 and 100 percentile = Math.round(percentile * 10) / 10; // Round to 1 decimal place // Calculate potential range (e.g., +/- 1 SD from EFW, adjusted by percentile) var lowerBound = estimatedFetalWeight – sd; var upperBound = estimatedFetalWeight + sd; // Adjust range based on percentile to reflect typical spread if (percentile 80) upperBound = estimatedFetalWeight + (sd * 1.2); if (estimatedFetalWeight < 1.0) { // Very small babies have tighter ranges lowerBound = estimatedFetalWeight * 0.85; upperBound = estimatedFetalWeight * 1.15; } lowerBound = Math.max(0.5, Math.round(lowerBound * 100) / 100); upperBound = Math.round(upperBound * 100) / 100; document.getElementById("primaryResult").textContent = estimatedFetalWeight + " kg"; document.getElementById("estimatedFetalWeight").textContent = estimatedFetalWeight; document.getElementById("growthPercentile").textContent = percentile + "th"; document.getElementById("potentialRange").textContent = lowerBound + " – " + upperBound; // Update chart data var chartData = generateChartData(gestationalAge, estimatedFetalWeight, percentile, lowerBound, upperBound); updateChart(chartData.labels, chartData.efwSeries, chartData.percentileSeries, chartData.lowerSeries, chartData.upperSeries); } function generateChartData(currentGA, currentEFW, currentPercentile, currentLower, currentUpper) { var labels = []; var efwSeries = []; var percentileSeries = []; var lowerSeries = []; var upperSeries = []; // Generate data points around the current gestational age var startGA = Math.max(24, Math.round(currentGA) – 5); var endGA = Math.min(42, Math.round(currentGA) + 5); for (var ga = startGA; ga <= endGA; ga++) { labels.push(ga + "w"); // Simplified EFW progression (linear interpolation based on coefficients) var tempEFW = -10.5 + (0.25 * ga) + (0.02 * 165) + (0.05 * 15) + (0.01 * 30) + (0.03 * 1); // Using example values for height, gain, age, parity tempEFW = Math.max(0.5, tempEFW); tempEFW = Math.round(tempEFW * 100) / 100; efwSeries.push(tempEFW); // Simplified percentile progression (rough estimate) var tempPercentile; if (ga 40) { tempPercentile = 70 + (tempEFW – 3.30) / (3.90 – 3.30) * 30; } else { var baseAvg = 3.15; var base10 = 2.65; var base90 = 3.75; if (ga === 39) { baseAvg = 3.15; base10 = 2.65; base90 = 3.75; } else if (ga === 38) { baseAvg = 3.00; base10 = 2.50; base90 = 3.60; } else if (ga === 40) { baseAvg = 3.30; base10 = 2.80; base90 = 3.90; } else if (ga === 37) { baseAvg = 2.85; base10 = 2.35; base90 = 3.45; } else if (ga === 36) { baseAvg = 2.70; base10 = 2.20; base90 = 3.30; } else if (ga === 41) { baseAvg = 3.40; base10 = 2.90; base90 = 4.00; } var weightDiff = tempEFW – base10; var range = base90 – base10; tempPercentile = (weightDiff / range) * 100; } tempPercentile = Math.max(0, Math.min(100, tempPercentile)); percentileSeries.push(tempPercentile); // Simplified range progression var tempLower = tempEFW – 0.4; var tempUpper = tempEFW + 0.4; if (tempPercentile 80) tempUpper = tempEFW + (0.4 * 1.2); if (tempEFW parseInt(label.replace('w', ")) > currentGA); if (insertIndex === -1) insertIndex = labels.length; labels.splice(insertIndex, 0, currentGA + "w"); efwSeries.splice(insertIndex, 0, currentEFW); percentileSeries.splice(insertIndex, 0, currentPercentile); lowerSeries.splice(insertIndex, 0, currentLower); upperSeries.splice(insertIndex, 0, currentUpper); } return { labels, efwSeries, percentileSeries, lowerSeries, upperSeries }; } var birthWeightChart = null; function updateChart(labels, efwSeries, percentileSeries, lowerSeries, upperSeries) { var ctx = document.getElementById('birthWeightChart').getContext('2d'); // Destroy previous chart instance if it exists if (birthWeightChart) { birthWeightChart.destroy(); } // Define min/max for Y-axis based on data range var allValues = […efwSeries, …lowerSeries, …upperSeries]; var minValue = Math.min(…allValues); var maxValue = Math.max(…allValues); var yAxisMin = Math.max(0, Math.floor(minValue * 0.9)); // Add some padding below var yAxisMax = Math.ceil(maxValue * 1.1); // Add some padding above birthWeightChart = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [ { label: 'Estimated Fetal Weight (kg)', data: efwSeries, borderColor: 'rgba(0, 74, 153, 1)', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 4, pointHoverRadius: 7 }, { label: 'Estimated Lower Range (kg)', data: lowerSeries, borderColor: 'rgba(40, 167, 69, 0.6)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: '-1', // Fill to the previous dataset (EFW) tension: 0.1, pointRadius: 0, // Hide points for range lines borderDash: [5, 5] }, { label: 'Estimated Upper Range (kg)', data: upperSeries, borderColor: 'rgba(40, 167, 69, 0.6)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: '-2', // Fill to the dataset before the lower range line tension: 0.1, pointRadius: 0, // Hide points for range lines borderDash: [5, 5] } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' }, grid: { display: false // Hide vertical grid lines } }, y: { title: { display: true, text: 'Weight (kg)' }, min: yAxisMin, max: yAxisMax, ticks: { beginAtZero: false } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + ' kg'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById("gestationalAge").value = "39"; document.getElementById("maternalHeight").value = "165"; document.getElementById("maternalWeightGain").value = "14"; document.getElementById("maternalAge").value = "28"; document.getElementById("parity").value = "0"; document.getElementById("ethnicity").value = "caucasian"; document.getElementById("gestationalAgeError").textContent = ""; document.getElementById("maternalHeightError").textContent = ""; document.getElementById("maternalWeightGainError").textContent = ""; document.getElementById("maternalAgeError").textContent = ""; document.getElementById("parityError").textContent = ""; document.getElementById("primaryResult").textContent = "–"; document.getElementById("estimatedFetalWeight").textContent = "–"; document.getElementById("growthPercentile").textContent = "–"; document.getElementById("potentialRange").textContent = "–"; // Clear chart by calling updateChart with empty data updateChart([], [], [], [], []); } function copyResults() { var primaryResult = document.getElementById("primaryResult").textContent; var estimatedFetalWeight = document.getElementById("estimatedFetalWeight").textContent; var growthPercentile = document.getElementById("growthPercentile").textContent; var potentialRange = document.getElementById("potentialRange").textContent; var gestationalAge = document.getElementById("gestationalAge").value; var maternalHeight = document.getElementById("maternalHeight").value; var maternalWeightGain = document.getElementById("maternalWeightGain").value; var maternalAge = document.getElementById("maternalAge").value; var parity = document.getElementById("parity").value; var ethnicity = document.getElementById("ethnicity").value; var assumptions = `Assumptions:\n- Gestational Age: ${gestationalAge} weeks\n- Maternal Height: ${maternalHeight} cm\n- Maternal Weight Gain: ${maternalWeightGain} kg\n- Maternal Age: ${maternalAge} years\n- Parity: ${parity}\n- Ethnicity: ${ethnicity}`; var resultsText = `Baby Birth Weight Prediction Results:\n\nPrimary Estimate: ${primaryResult}\nEstimated Fetal Weight: ${estimatedFetalWeight} kg\nGrowth Percentile: ${growthPercentile}\nPotential Range: ${potentialRange} kg\n\n${assumptions}`; // Use navigator.clipboard for modern browsers, fallback to textarea for older ones if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(resultsText); }); } else { fallbackCopyTextToClipboard(resultsText); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation and chart generation on page load document.addEventListener('DOMContentLoaded', function() { // Add event listeners for real-time updates var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateBirthWeight); } // Initial calculation calculateBirthWeight(); });

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